US20190346848A1 - Dividing method for working region of self-moving device, dividing apparatus, and electronic device - Google Patents

Dividing method for working region of self-moving device, dividing apparatus, and electronic device Download PDF

Info

Publication number
US20190346848A1
US20190346848A1 US16/438,829 US201916438829A US2019346848A1 US 20190346848 A1 US20190346848 A1 US 20190346848A1 US 201916438829 A US201916438829 A US 201916438829A US 2019346848 A1 US2019346848 A1 US 2019346848A1
Authority
US
United States
Prior art keywords
self
moving device
moving
region
path
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US16/438,829
Other languages
English (en)
Inventor
Chang Zhou
Yiyun Tan
Fangshi Liu
Yong Shao
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Positec Power Tools Suzhou Co Ltd
Original Assignee
Positec Power Tools Suzhou Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Positec Power Tools Suzhou Co Ltd filed Critical Positec Power Tools Suzhou Co Ltd
Assigned to POSITEC POWER TOOLS (SUZHOU) CO., LTD. reassignment POSITEC POWER TOOLS (SUZHOU) CO., LTD. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: ZHOU, CHANG, SHAO, YONG, LIU, FANGSHI, TAN, Yiyun
Publication of US20190346848A1 publication Critical patent/US20190346848A1/en
Abandoned legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/0088—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
    • G05D1/0238—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using obstacle or wall sensors
    • G05D1/024—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using obstacle or wall sensors in combination with a laser
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0276—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01D—HARVESTING; MOWING
    • A01D34/00—Mowers; Mowing apparatus of harvesters
    • A01D34/006—Control or measuring arrangements
    • A01D34/008—Control or measuring arrangements for automated or remotely controlled operation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C25/00—Manufacturing, calibrating, cleaning, or repairing instruments or devices referred to in the other groups of this subclass
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/03—Cooperating elements; Interaction or communication between different cooperating elements or between cooperating elements and receivers
    • G01S19/07—Cooperating elements; Interaction or communication between different cooperating elements or between cooperating elements and receivers providing data for correcting measured positioning data, e.g. DGPS [differential GPS] or ionosphere corrections
    • G01S19/071—DGPS corrections
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/13—Receivers
    • G01S19/35—Constructional details or hardware or software details of the signal processing chain
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/396—Determining accuracy or reliability of position or pseudorange measurements
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/40—Correcting position, velocity or attitude
    • G01S19/41—Differential correction, e.g. DGPS [differential GPS]
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/42—Determining position
    • G01S19/45—Determining position by combining measurements of signals from the satellite radio beacon positioning system with a supplementary measurement
    • G01S19/47—Determining position by combining measurements of signals from the satellite radio beacon positioning system with a supplementary measurement the supplementary measurement being an inertial measurement, e.g. tightly coupled inertial
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/42—Determining position
    • G01S19/48—Determining position by combining or switching between position solutions derived from the satellite radio beacon positioning system and position solutions derived from a further system
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/42—Determining position
    • G01S19/48—Determining position by combining or switching between position solutions derived from the satellite radio beacon positioning system and position solutions derived from a further system
    • G01S19/485—Determining position by combining or switching between position solutions derived from the satellite radio beacon positioning system and position solutions derived from a further system whereby the further system is an optical system or imaging system
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/42—Determining position
    • G01S19/48—Determining position by combining or switching between position solutions derived from the satellite radio beacon positioning system and position solutions derived from a further system
    • G01S19/49—Determining position by combining or switching between position solutions derived from the satellite radio beacon positioning system and position solutions derived from a further system whereby the further system is an inertial position system, e.g. loosely-coupled
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • G05D1/0214—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory in accordance with safety or protection criteria, e.g. avoiding hazardous areas
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • G05D1/0223—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory involving speed control of the vehicle
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • G05D1/0225—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory involving docking at a fixed facility, e.g. base station or loading bay
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
    • G05D1/0246—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using a video camera in combination with image processing means
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0255—Control of position or course in two dimensions specially adapted to land vehicles using acoustic signals, e.g. ultra-sonic singals
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0257—Control of position or course in two dimensions specially adapted to land vehicles using a radar
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0259—Control of position or course in two dimensions specially adapted to land vehicles using magnetic or electromagnetic means
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0268—Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0276—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle
    • G05D1/0278—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle using satellite positioning signals, e.g. GPS
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29—Geographical information databases
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01D—HARVESTING; MOWING
    • A01D2101/00—Lawn-mowers
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion

Definitions

  • Embodiments of the present invention relates to self-moving devices, and in particular, to a dividing method for a working region of a self-moving device, a dividing apparatus, and an electronic device.
  • An autonomous working system such as an autonomous lawn mower system can autonomously complete a lawn maintenance task or the like, and becomes increasingly popular among consumers.
  • a self-moving device such as an autonomous lawn mower is restricted to move inside a working region.
  • a safety problem may occur.
  • an obstacle may exist in the working region.
  • the obstacle includes a pit, a flowering shrub, and the like.
  • the autonomous lawn mower should avoid the obstacle in the working region during working to prevent accidents such as falling or trapping.
  • the recognizing the working region includes recognizing a boundary of the working region and the obstacle in the working region.
  • a boundary line is arranged along a boundary of the working region, and a boundary line may be arranged along a periphery of an obstacle.
  • a boundary line transmits an electrical signal to generate an electromagnetic field.
  • a sensor on the autonomous lawn mower detects an electromagnetic field signal to determine whether the autonomous lawn mower is located inside or outside a region defined by a boundary line.
  • Such a method requires complex arrangement of a boundary line and adversely affects the look of a lawn.
  • a method for creating a map of a working region may be used.
  • position coordinates of a boundary, an obstacle, and the like of a working region are recorded, a coordinate system is established, and a map of the working region is generated.
  • a position of the autonomous lawn mower on the map is observed to determine whether the autonomous lawn mower is inside a safe working region.
  • a path may be preset, so that when an autonomous lawn mower is working, the autonomous lawn mower moves along the preset path.
  • Another technical problem that follows is how to set more appropriately divided regions according to a feature of a working region, so that the autonomous lawn mower can safely and efficiently cover the working region.
  • Buildings and obstacles usually exist in a working region of an autonomous lawn mower. Shaded regions with weak navigation signals are easily formed around these buildings and obstacles. Satellite navigation signals usually tend to be blocked by the buildings, the obstacles, and the like and become weaker consequently. For example, an autonomous lawn mower may fail to be located precisely when working in a shaded region due to weak GPS signals.
  • a problem to be resolved by the embodiments of the present invention is to ensure that a self-moving device can safely and efficiently cover a working region.
  • a dividing method for a working region of a self-moving device comprising: detecting whether a working region comprises a shaded region, the shaded region being a region in which a positioning signal received by a self-moving device does not satisfy a quality condition; determining a boundary condition of the working region; determining a contour condition of the shaded region; and dividing the working region into a plurality of sub-working regions based on the boundary condition of the working region and the contour condition of the shaded region, a part of the shaded region in any sub-working region being a sub-shaded region, the sub-shaded region having a length direction and a width direction, and the division enabling a length in the width direction to be less than a predetermined threshold.
  • the dividing method for a working region of a self-moving device according to the above, wherein the predetermined threshold is 10 meters or 5 meters or 2 meters.
  • the dividing method for a working region of a self-moving device further comprising: controlling the self-moving device to travel in the width direction in the sub-shaded region.
  • controlling the self-moving device to travel in the width direction in the sub-shaded region comprises: controlling the self-moving device to enter the sub-shaded region from one side in the width direction; and controlling the self-moving device to keep traveling in the width direction to reach the other side of the sub-shaded region.
  • controlling the self-moving device to travel in the width direction in the sub-shaded region further comprises: controlling the self-moving device to leave the sub-shaded region from the other side; or controlling the self-moving device to turn around at the other side to leave from the side, wherein a travel direction after the turnaround is the width direction.
  • the dividing method for a working region of a self-moving device comprises: determining whether an area of the shaded region is greater than a predetermined area threshold; and dividing the working region into a plurality of sub-working regions in response to determining that the area of the shaded region is greater than the predetermined area threshold.
  • the dividing method for a working region of a self-moving device comprises: dividing the working region into a plurality of sub-working regions based on the boundary condition of the working region and the contour condition of the shaded region, so that the self-moving device enters the shaded region in different directions in the plurality of sub-working regions.
  • the dividing method for a working region of a self-moving device comprises: determining whether a predetermined number of movements of the self-moving device in different directions cover the shaded region; and further dividing, in response to that the predetermined number of movements of the self-moving device in different directions do not cover the shaded region, the plurality of sub-working regions obtained after the division.
  • the dividing method for a working region of a self-moving device comprises: dividing the plurality of sub-working regions so that adjacent working regions of the plurality of sub-working regions have an overlapping portion.
  • the dividing method for a working region of a self-moving device wherein the dividing the working region into a plurality of sub-working regions based on the boundary condition of the working region and the contour condition of the shaded region further comprises: detecting a working area corresponding to a working time of a power supply of the self-moving device; determining whether an area of each of the plurality of sub-working regions is greater than the working area; and further dividing the sub-working region in response to determining that an area of one of the plurality of sub-working regions is greater than the working area, so that an area of the working region obtained after the division is less than the working area.
  • the dividing method for a working region of a self-moving device further comprising: detecting whether an obstacle exists in the working region; determining whether a size of the obstacle is greater than a predetermined size threshold; and dividing the working region based on the obstacle in response to that the size of the obstacle is greater than the predetermined size threshold.
  • the dividing method for a working region of a self-moving device further comprising: skipping division of the working region in response to that the size of the obstacle is less than the predetermined size threshold; and controlling the self-moving device to move around the obstacle or turn around at the obstacle to move on.
  • the dividing method for a working region of a self-moving device comprises: detecting that a state of the obstacle is moving or stationary; and detecting, in response to that the state of the obstacle is stationary, whether the size of the obstacle is greater than the predetermined size threshold.
  • the dividing method for a working region of a self-moving device further comprising: skipping division of the working region in response to that the state of the obstacle is moving; and controlling the self-moving device to move around the obstacle or turn around at the obstacle to move on.
  • the dividing method for a working region of a self-moving device further comprising: detecting whether a passage exists in the working region; and dividing, in response to that a passage exists in the working region, the working region into a first sub-working region on one side of the passage and a second sub-working region on the other side of the passage.
  • the dividing method for a working region of a self-moving device further comprising: detecting a vegetation growth condition in the working region; and dividing the working region based on the vegetation growth condition.
  • the dividing method for a working region of a self-moving device further comprising: in a process of controlling the self-moving device to move in the working region, obtaining map information of a path covered by the self-moving device; and updating a dividing strategy of the working region based on the map information.
  • the dividing method for a working region of a self-moving device further comprising: determining whether an unworked region in which the self-moving device has not performed work exists in the working region; and dividing the working region to use the unworked region as a new sub-working region.
  • a dividing apparatus configured to divide a working region of a self-moving device, and comprising: a shaded region detection unit, configured to detect whether a shaded region exists in the working region, the shaded region being a region in which a positioning signal received by the self-moving device does not satisfy a quality condition; a working region determining unit, configured to determine a boundary condition of the working region; a shaded contour determining unit, configured to determine a contour condition of the shaded region; and a dividing unit, configured to divide the working region into a plurality of sub-working regions based on the boundary condition of the working region and the contour condition of the shaded region, a part of the shaded region in any sub-working region being a sub-shaded region, the sub-shaded region having a length direction and a width direction, and the division enabling a length in the width direction to be less than a predetermined threshold.
  • the predetermined threshold is 10 meters or 5 meters or 2 meters.
  • the dividing apparatus further comprising: a control unit, configured to control the self-moving device to travel in the width direction in the sub-shaded region.
  • control unit configured to: control the self-moving device to enter the sub-shaded region from one side in the width direction; and control the self-moving device to keep traveling in the width direction to reach the other side of the sub-shaded region.
  • control unit is further configured to: control the self-moving device to leave the sub-shaded region from the other side; or control the self-moving device to turn around at the other side to leave from the side, wherein a travel direction after the turnaround is the width direction.
  • the dividing apparatus wherein the dividing unit is configured to: determine whether an area of the shaded region is greater than a predetermined area threshold; and divide the working region into the plurality of sub-working regions in response to determining that the area of the shaded region is greater than the predetermined area threshold.
  • the dividing apparatus configured to: divide the working region into a plurality of sub-working regions based on the boundary condition of the working region and the contour condition of the shaded region; and control the self-moving device to enter the shaded region in different directions in the plurality of sub-working regions.
  • the dividing apparatus configured to: determine whether a predetermined number of movements of the self-moving device in different directions cover the shaded region; and further divide, in response to that the predetermined number of movements of the self-moving device in different directions do not cover the shaded region, the plurality of sub-working regions obtained after the division.
  • the dividing apparatus configured to: divide the plurality of sub-working regions so that adjacent working regions of the plurality of sub-working regions have an overlapping portion.
  • the dividing apparatus further comprising: a working area detection unit, configured to detect a working area corresponding to a working time of a power supply of the self-moving device; and a working area determining unit, configured to determine whether an area of each of the plurality of sub-working regions is greater than the working area, wherein the dividing unit is configured to further divide the sub-working region in response to determining that an area of one of the plurality of sub-working regions is greater than the working area, so that an area of the working region obtained after the division is less than the working area.
  • the dividing apparatus further comprising: an obstacle detection unit, configured to detect whether an obstacle exists in the working region; and an obstacle determining unit, configured to determine whether a size of the obstacle is greater than a predetermined size threshold, wherein the dividing unit is configured to divide the working region based on the obstacle in response to that the size of the obstacle is greater than the predetermined size threshold.
  • the dividing apparatus wherein the dividing unit is configured to skip division of the working region in response to that the size of the obstacle is less than the predetermined size threshold; and the control unit is configured to control the self-moving device to move around the obstacle or turn around at the obstacle to move on.
  • the obstacle determining unit is configured to: detect that a state of the obstacle is moving or stationary; and detect, in response to that the state of the obstacle is stationary, whether the size of the obstacle is greater than the predetermined size threshold.
  • the dividing apparatus configured to: skip division of the working region in response to that the state of the obstacle is moving; and control the self-moving device to move around the obstacle or turn around at the obstacle to move on.
  • the dividing apparatus further comprising: a passage detection unit, configured to detect whether a passage exists in the working region, wherein the dividing unit is configured to divide, in response to that a passage exists in the working region, the working region into a first sub-working region on one side of the passage and a second sub-working region on the other side of the passage.
  • the dividing apparatus further comprising: a vegetation detection unit, configured to detect a vegetation growth condition in the working region, wherein the dividing unit is configured to divide the working region based on the vegetation growth condition.
  • the dividing apparatus further comprising: a map information obtaining unit, configured to: in a process of controlling the self-moving device to move in the working region, obtain map information of a path covered by the self-moving device, wherein a dividing strategy update unit, configured to update a dividing strategy of the working region based on the map information.
  • a map information obtaining unit configured to: in a process of controlling the self-moving device to move in the working region, obtain map information of a path covered by the self-moving device, wherein a dividing strategy update unit, configured to update a dividing strategy of the working region based on the map information.
  • the dividing apparatus further comprising: a blank region detection unit, configured to detect whether an unworked region in which the self-moving device has not performed work exists in the working region, wherein the dividing unit is configured to divide the working region to use the unworked region as a new sub-working region.
  • An autonomous working system comprising: a self-moving device, moving and working within a working region defined on a map; and the dividing apparatus according to the above.
  • the autonomous working system according to the above, wherein the autonomous working system is an autonomous lawn mower.
  • a self-moving device moving and working within a working region defined on a map, and comprising: the dividing apparatus according to the above.
  • An electronic device comprising: a memory, configured to store computer executable instructions; and a processor, configured to execute the computer executable instructions stored in the memory, to perform the dividing method for a working region of a self-moving device according to the above.
  • a computer readable storage medium storing computer program instructions, wherein when being executed by a computing apparatus, the computer program instructions are operable to perform the dividing method for a working region of a self-moving device according to the above.
  • the beneficial effect of the embodiments of the present invention is as follows: A shaded region in a working region is detected and is divided based on a boundary condition of the working region and a contour condition of the shaded region, so that it can be ensured that a self-moving device safely and efficiently covers the working region.
  • a moving method of a self-moving device including: presetting a preset movement path of a self-moving device; enabling the self-moving device to move along the preset movement path; and checking whether a moving direction of the self-moving device deviates from the preset movement path, and when the moving direction of the self-moving device deviates from the preset movement path, calibrating the moving direction of the self-moving device, to enable the self-moving device to move along the preset movement path, the preset movement path including several first path segments, the first path segment being divided into several sub-path segments, and an end point of the sub-path segment being referred to as a node; and the calibrating the moving direction of the self-moving device includes: calibrating the moving direction of the self-moving device by using the node as a target point.
  • the self-moving device has a consistent moving direction along the first path segment.
  • the first path segment includes a straight line segment.
  • the first path segment includes a polygonal line segment
  • the node includes a turning point of the polygonal line segment
  • the checking whether a moving direction of the self-moving device deviates from the preset movement path includes: providing an angle sensor, outputting an angle parameter of a movement of the self-moving device, and determining, according to the angle parameter, whether a current moving direction of the self-moving device is consistent with a preset moving direction, so as to determine whether the moving direction of the self-moving device deviates from the preset movement path.
  • the angle sensor includes a gyroscope.
  • the checking whether a moving direction of the self-moving device deviates from the preset movement path includes: providing a positioning device, outputting a current position of the self-moving device, calculating a deviation angle of the self-moving device according to a direction from the current position of the self-moving device to a target position and a direction of the preset movement path, and determining, according to whether the deviation angle is greater than a preset threshold, whether the moving direction of the self-moving device deviates from the preset movement path.
  • the deviation angle of the self-moving device is calculated at an interval of a preset time, and it is determined, according to whether the deviation angle is greater than a preset threshold, whether the moving direction of the self-moving device deviates from the preset movement path.
  • the preset movement path includes a second path segment, and the self-moving device steers along the second path segment.
  • the self-moving device moves along the second path segment by sequentially using the several nodes in the second path segment as the target point.
  • the second path segment includes an arc segment.
  • the second path segment includes an irregular path segment.
  • the second path segment connects a movement path of the self-moving device before steering and a movement path of the self-moving device after steering
  • the irregular path segment includes extended segments extending relative to outer sides of the movement path before steering and the movement path after steering.
  • the self-moving device moves along the second path segment at an edge position of a working region, and when moving along the extended segment of the second path segment, the self-moving device at least partially covers an edge region that is not covered when the self-moving device moves along an adjacent second path segment.
  • the preset movement path includes parallel reciprocating paths, and the second path segment connects parallel paths among the parallel reciprocating paths.
  • the first path segment being divided into several sub-path segments includes: presetting the node.
  • the first path segment being divided into several sub-path segments includes: setting and/or updating the node as the self-moving device moves along the preset movement path.
  • a next node in the moving direction is used as the target point to determine the moving direction of the self-moving device.
  • a self-moving device is provided, autonomously moving inside a working region based on a map, and including a preset module and a control module, where the preset module is configured to preset a preset movement path of the self-moving device; and the control module is configured to: enable the self-moving device to move along the preset movement path; and check whether a moving direction of the self-moving device deviates from the preset movement path, and when the moving direction of the self-moving device deviates from the preset movement path, calibrate the moving direction of the self-moving device, to enable the self-moving device to move along the preset movement path, the preset movement path including several first path segments, the first path segment being divided into several sub-path segments, and an end point of the sub-path segment being referred to as a node; and the calibrating the moving direction of the self-moving device includes: calibrating the moving direction of the self-moving device by using the node
  • control module includes an angle sensor, outputting an angle parameter of a movement of the self-moving device, and the control module determines, according to the angle parameter, whether a current moving direction of the self-moving device is consistent with a preset moving direction, so as to determine whether the moving direction of the self-moving device deviates from the preset movement path.
  • the angle sensor includes a gyroscope.
  • control module includes a calculation unit and a determining unit, where the calculation unit is configured to calculate a deviation angle of the self-moving device according to a direction from a current position of the self-moving device to a target position and a direction of the preset movement path, and the determining unit is configured to determine, according to whether the deviation angle is greater than the preset threshold, whether the moving direction of the self-moving device deviates from the preset movement path.
  • the calculation unit is configured to calculate the deviation angle of the self-moving device at an interval of a preset time
  • the determining unit is configured to determine, according to whether the deviation angle is greater than the preset threshold, whether the moving direction of the self-moving device deviates from the preset movement path.
  • the preset module is further configured to preset the node.
  • control module further includes an update unit, configured to set and/or update the node as the self-moving device moves along the preset movement path.
  • control module uses a next node in the moving direction is used as the target point to determine the moving direction of the self-moving device.
  • a storage medium storing computer readable instructions, where when the computer readable instructions are invoked, the foregoing method is performed.
  • a server including a memory and a processor, where the memory stores computer readable instructions, and the processor invokes the computer readable instructions and performs the foregoing method.
  • Embodiment of the present invention provides a walking method of a self-moving device, a self-moving device, a memory, and a server.
  • a first path segment of a preset path segment is divided into several sub-path segments, an end point of each sub-path segment is used as a node, and each node is used as a target point, so as to calibrate a moving direction of a self-moving device in each sub-path segment, thereby significantly improving working precision of the self-moving device.
  • Embodiments of the present invention provide a working method of a self-moving device, a self-moving device, a memory, and a server.
  • a direction in which a self-moving device enters a shaded region may be selected, so that duration during which the self-moving device remains in the shaded region can be shortened, thereby improving positioning precision of the self-moving device.
  • An aspect of the present invention provides a working method of a self-moving device.
  • the method includes: detecting a shaded region in a working region; recognizing information about a geometric feature of the shaded region; determining, according to the geometric feature, an entry direction in which a self-moving device enters the shaded region; and enabling the self-moving device to enter the shaded region in the entry direction.
  • the entry direction is a direction approximately perpendicular to a longitudinal axis of the shaded region.
  • the shaded region includes a first edge located on a side of the longitudinal axis of the shaded region, and the entry direction is an approximately normal direction of the first edge.
  • the shaded region includes a first edge and a second edge that are respectively located on two sides of the longitudinal axis of the shaded region, and the entry direction is a direction in which a distance between the first edge and the second edge is the shortest.
  • the shaded region includes a first edge near an obstacle and a second edge far away from the obstacle, and the entry direction includes an approximately normal direction in the first edge or the second edge, or the entry direction is a direction in which a distance between the first edge and the second edge is the shortest.
  • the working method of a self-moving device includes: obtaining a first positioning signal output by a first positioning device, where the shaded region is a region in which the first positioning signal output by the first positioning device does not satisfy a quality requirement.
  • the first positioning device includes a satellite positioning device.
  • the working method of a self-moving device further includes: presetting a quality threshold of the first positioning signal; and obtaining a quality parameter of the first positioning signal from the first positioning device, and determining, according to that the obtained quality parameter of the first positioning signal does not satisfy the threshold, that the self-moving device is located in the shaded region.
  • the working method of a self-moving device further includes: presetting a quality threshold of the first positioning signal; loading a map of the working region; marking an initial shaded region on the map; obtaining a quality parameter of the first positioning signal from the first positioning device; and updating the initial shaded region according to a relationship between the obtained quality parameter of the first positioning signal and the threshold.
  • the working method further includes: obtaining a second positioning signal output by a second positioning device; presetting a quality threshold of the first positioning signal; and obtaining a quality parameter of the first positioning signal from the first positioning device; and the enabling the self-moving device to enter the shaded region in the entry direction includes: when the quality parameter of the first positioning signal does not satisfy the threshold, enabling the second positioning signal; and when the quality parameter of the first positioning signal satisfies the threshold, reusing the first positioning signal to locate the self-moving device.
  • the working method further includes: obtaining a second positioning signal output by a second positioning device, enabling both the first positioning signal and the second positioning signal, and locating the self-moving device by using a weighted value of the first positioning signal and the second positioning signal; presetting a quality threshold of the first positioning signal; obtaining a quality parameter of the first positioning signal from the first positioning device; and the enabling the self-moving device to enter the shaded region in the entry direction includes: increasing a weight of the second positioning signal when the quality parameter of the first positioning signal does not satisfy the threshold; and decreasing a weight of the second positioning signal when the quality parameter of the first positioning signal satisfies the threshold.
  • the second positioning device includes an inertial navigation device.
  • the second positioning signal is corrected by using the first positioning signal.
  • the method further includes: enabling the self-moving device to exit the shaded region in an exit direction opposite to the entry direction.
  • a self-moving device including a detection module and a control module, where the detection module is configured to obtain a shaded region in a working region; and the control module is configured to: recognize a geometric feature of the shaded region; determine, according to the geometric feature, an entry direction in which the self-moving device enters the shaded region; and enable the self-moving device to enter the shaded region in the entry direction.
  • the entry direction is a direction approximately perpendicular to a longitudinal axis of the shaded region.
  • the shaded region includes a first edge located on a side of the longitudinal axis of the shaded region, and the entry direction is an approximately normal direction of the first edge.
  • the shaded region includes a first edge and a second edge that are respectively located on two sides of the longitudinal axis of the shaded region, and the entry direction is a direction in which a distance between the first edge and the second edge is the shortest.
  • the shaded region includes a first edge near an obstacle and a second edge far away from the obstacle, and the entry direction includes an approximately normal direction in the first edge or the second edge, or the entry direction is a direction in which a distance between the first edge and the second edge is the shortest.
  • the self-moving device is located by using a first positioning signal output by the first positioning device, and the shaded region is a region in which the first positioning signal output by the first positioning device does not satisfy a quality requirement.
  • the detection module further includes a loading unit, a marking unit, and an update unit, where the loading unit is configured to load a map of the working region; the marking unit is configured to mark an initial shaded region on the map; and the update unit updates the initial shaded region according to that a quality parameter of the first positioning signal does not satisfy the quality requirement.
  • the detection module further includes a preset unit and an obtaining unit, where the preset unit is configured to preset a quality threshold of the first positioning signal provided by the first positioning device; and the obtaining unit obtains a quality parameter of the first positioning signal from the first positioning device, and determines, according to that the obtained quality parameter of the first positioning signal does not satisfy the threshold, that the self-moving device is located in the shaded region.
  • the first positioning device is a satellite navigation device.
  • control module further includes a switching unit; the self-moving device further uses a second positioning signal output by a second positioning device to assist in positioning the self-moving device; the obtaining unit obtains a quality parameter of the first positioning signal from the first positioning device; when the quality parameter of the first positioning signal does not satisfy the threshold, the switching unit enables the second positioning signal; and when the quality parameter of the first positioning signal satisfies the threshold, the first positioning signal is reused to locate the self-moving device.
  • control module further includes a control unit and a calculation unit, where the self-moving device further uses a second positioning signal output by a second positioning device to assist positioning of the self-moving device; the control unit enables both the first positioning signal and the second positioning signal, and locates the self-moving device by using a weighted value of the first positioning signal and the second positioning signal; the obtaining unit obtains a quality parameter of the first positioning signal from the first positioning device; the calculation unit increases a weight of the second positioning signal when the quality parameter of the first positioning signal does not satisfy the threshold; and the calculation unit decreases a weight of the second positioning signal when the quality parameter of the first positioning signal satisfies the threshold.
  • the second positioning signal is corrected by using the first positioning signal.
  • the second positioning device includes an inertial navigation device.
  • control module after enabling the self-moving device to enter the shaded region in the entry direction, the control module enables the self-moving device to exit the shaded region in an exit direction opposite to the entry direction.
  • Still another aspect of the present invention provides a memory, storing computer readable instructions, where when the computer readable instructions are invoked, the foregoing method is performed.
  • Yet another aspect of the present invention provides a server, including a processor and a memory, where the memory stores computer readable instructions, and the processor is configured to invoke the computer readable instructions and perform the foregoing method.
  • Embodiments of the present invention provide a working method of a self-moving device, a self-moving device, a memory, and a server.
  • a direction in which a self-moving device enters a shaded region is selected, so that duration during which the self-moving device remains in the shaded region can be shortened, thereby improving positioning precision of the self-moving device.
  • FIG. 1 is a schematic diagram of an autonomous working system according to a first embodiment of the present invention
  • FIG. 2 is a schematic structural diagram of an autonomous lawn mower according to the first embodiment of the present invention.
  • FIG. 3( a ) and FIG. 3( b ) are schematic composition diagrams of a navigation module according to the first embodiment of the present invention.
  • FIG. 4 is a working principle diagram of a navigation module according to the first embodiment of the present invention.
  • FIG. 5( a ) to FIG. 5( c ) are principle diagrams of position correction by a base station according to the first embodiment of the present invention.
  • FIG. 6 is a flowchart of position correction by a base station according to the first embodiment of the present invention.
  • FIG. 7 to FIG. 10 are schematic diagrams of a movement path of an autonomous lawn mower according to the first embodiment of the present invention.
  • FIG. 11 to FIG. 13 are schematic diagrams of a return path of an autonomous lawn mower according to the first embodiment of the present invention.
  • FIG. 14 is a schematic flowchart of a dividing method for a working region of a self-moving device according to an embodiment of the present invention.
  • FIG. 15( a ) to FIG. 15( c ) are schematic diagrams of performing division based on a shaded region according to an embodiment of the present invention.
  • FIG. 16 is a schematic block diagram of a dividing apparatus according to an embodiment of the present invention.
  • FIG. 17 is a schematic block diagram of an electronic device according to an embodiment of the present invention.
  • FIG. 18 is a flowchart of a moving method of a self-moving device according to the present invention.
  • FIG. 19 is a schematic diagram of a preset path of a self-moving device according to the present invention.
  • FIG. 20 a is a schematic diagram of a first path segment being an inclined straight line according to the present invention.
  • FIG. 20 b is a schematic diagram of a first path segment being a polygonal line segment according to the present invention.
  • FIG. 20 c is a schematic diagram of a self-moving device using a second method to check whether a moving direction of the self-moving device deviates from a preset movement path according to the present invention
  • FIG. 21 a is a schematic diagram of a second path segment being an arc segment according to the present invention.
  • FIG. 21 b is a schematic diagram of a second path segment being an irregular path segment according to the present invention.
  • FIG. 21 c is a schematic diagram of a self-moving device steering by using a U-shaped path
  • FIG. 22 is a diagram showing modules of a self-moving device according to an embodiment of the present invention.
  • FIG. 23 is a schematic modular diagram of a control module of a self-moving device according to the present invention.
  • FIG. 24 is a flowchart of a working method of a self-moving device according to an embodiment of the present invention.
  • FIG. 25 a to FIG. 25 e are schematic working diagrams of a self-moving device according to an embodiment of the present invention.
  • FIG. 26 a is a schematic diagram of modules of a self-moving device according to an embodiment of the present invention.
  • FIG. 26 b is a schematic diagram of a control module according to an embodiment of the present invention.
  • FIG. 27 is a schematic diagram of a detection module according to an embodiment of the present invention.
  • FIG. 28 is a schematic diagram of a control module according to an embodiment of the present invention.
  • FIG. 1 is a schematic diagram of an autonomous working system 100 according to a first embodiment of the present invention.
  • the autonomous working system includes a self-moving device.
  • the self-moving device is an autonomous lawn mower 1 .
  • the self-moving device may be alternatively an unattended device such as an autonomous cleaning device, an autonomous irrigation device, an autonomous snowplow, and the like.
  • the autonomous working system 100 further includes a charging station 2 configured to charge the autonomous lawn mower 1 .
  • the autonomous working system 100 includes a navigation module configured to output a current position of the autonomous lawn mower.
  • the navigation module includes a base station 17 and a mobile station 15 .
  • the autonomous working system is configured to work within a predetermined working region.
  • the working region includes at least two separate sub-working regions.
  • the sub-working regions are in communication through a passage 400 .
  • a boundary 200 is formed between the working region and a non-working region.
  • Obstacles 9 , 11 exist in the working region.
  • the obstacle is a tree, a pit or the like.
  • the structure of the autonomous lawn mower 1 in this embodiment is shown in FIG. 2 .
  • the autonomous lawn mower 1 includes a housing 3 , a movement module, a task execution module, an energy source module, a control module, and the like.
  • the movement module includes a continuous track 5 driven by a drive motor to enable the autonomous lawn mower 1 to move.
  • the task execution module includes a cutting assembly 7 performing grass cutting work.
  • the energy source module includes a battery pack (not shown) supplying electrical energy to the autonomous lawn mower 1 to move and work.
  • the control module is electrically connected to the movement module, the task execution module, and the energy source module, controls the movement module to enable the autonomous lawn mower 1 to move, and controls the task execution module to perform a task.
  • the composition of the navigation module in this embodiment is shown in FIG. 3( a ) and FIG. 3( b ) .
  • the navigation module includes the base station 17 and the mobile station 15 .
  • the base station 17 and the mobile station 15 both receive satellite signals, and the base station 17 sends a positioning correction signal to the mobile station 15 , to implement differential satellite positioning.
  • the base station 17 and the mobile station 15 receive GPS positioning signals to implement differential GPS (DGPS) positioning.
  • DGPS differential GPS
  • the base station 17 and the mobile station 15 may alternatively receive positioning signals of the Galileo satellite navigation system, the Beidou satellite navigation system, the global navigation satellite system (GLONASS) or the like.
  • the base station 17 includes: a GPS antenna 19 , receiving a GPS positioning signal; a GPS card 21 , processing the received GPS positioning signal, and generating the positioning correction signal; and a communications module 23 , sending the positioning correction signal to the mobile station 15 .
  • the communications module 23 includes a radio station and a radio station antenna 25 .
  • the base station further includes an indicator (not shown). The indicator can output an indication showing whether a satellite signal at a current position is desirable.
  • the base station 17 is disposed at the charging station 2 and is integrated with the charging station 2 .
  • the base station 17 may be alternatively disposed separately from the charging station 2 , for example, may be disposed at a position such as a roof where a satellite signal can be better received.
  • the mobile station 15 includes: a housing 27 ; a GPS antenna 29 , receiving a GPS positioning signal; a GPS card 31 , processing the received GPS positioning signal; and a communications module 33 , receiving the positioning correction signal sent by the base station 17 .
  • the communications module 33 includes a radio station and a radio station antenna 35 .
  • the mobile station 15 integrates an inertial navigation system (not shown). The inertial navigation system outputs inertial navigation data. When the mobile station 15 is working, only a GPS positioning signal may be used for navigation, or a positioning signal obtained by combining a GPS positioning signal and inertial navigation data may be used for navigation, or only inertial navigation data may be used for navigation if a GPS signal is weak.
  • the mobile station 15 further includes an indicator (not shown) outputting an indication showing whether a DGPS signal at a current position is desirable.
  • the mobile station 15 is detachably connected to the housing 3 of the autonomous lawn mower 1 .
  • the mobile station 15 includes a first interface (not shown) for connecting to the housing of the autonomous lawn mower 1 .
  • the mobile station 15 is installed at the housing 3 of the autonomous lawn mower 1 .
  • the mobile station 15 may be electrically connected to the control module of the autonomous lawn mower 1 , the mobile station 15 outputs coordinates of the current position of the autonomous lawn mower 1 .
  • the control module controls, according to the current position of the autonomous lawn mower 1 , the autonomous lawn mower 1 to move and work.
  • the mobile station 15 includes an independent power supply module 37 .
  • the mobile station 15 may work independently when being separated from the housing 3 of the autonomous lawn mower 1 .
  • a map of the working region needs to be created before the autonomous lawn mower starts to work.
  • the navigation module of the autonomous working system is used to create the map of the working region.
  • the creating the map of the working region includes a step of recording the map.
  • the step of recording the map is started after a user finishes installing the base station.
  • the mobile station is separated from the housing of the autonomous lawn mower, the mobile station works independently, and the user holds the mobile station and walks to record the map.
  • the recording the map includes the following steps: Starting from a starting point, that is, a position of the charging station in this embodiment, the user starts to walk along a boundary of the working region to record position coordinates of the boundary; the user walks along an obstacle in the working region to record position coordinates of the obstacle; the user walks along a traffic island in the working region to record position coordinates of the traffic island; and the user walks along a passage connecting sub-working regions to record position coordinates of the passage.
  • the inertial navigation system when the user holds the mobile station to record the map, the inertial navigation system is in an off state. The reason is that when the user holds the mobile station and moves, with the shaking of a hand, the mobile station may tilt around, causing severe interference with the inertial navigation system.
  • the mobile station is installed at the housing of the autonomous lawn mower, and the user uses an intelligent terminal device such as a mobile phone and a tablet to remotely control the autonomous lawn mower to move.
  • the step of recording the map includes recording the boundary of the working region, an obstacle in the working region, a passage connecting sub-regions or the like.
  • an inertial navigation apparatus may be turned on. The reason is that the mobile station is installed at the housing of the autonomous lawn mower, and the mobile station moves relatively stably.
  • the task execution module of the autonomous lawn mower is kept off.
  • the autonomous lawn mower includes a pushing rod, detachably installed at the housing of the autonomous lawn mower.
  • the mobile station is installed at the housing of the autonomous lawn mower
  • the pushing rod is installed at the housing of the autonomous lawn mower
  • the user operates the pushing rod to push the autonomous lawn mower to move, to record the boundary of the working region, an obstacle, a passage or the like.
  • the task execution module of the autonomous lawn mower is kept off.
  • the autonomous lawn mower includes an ultrasonic apparatus, so that the autonomous lawn mower can follow the user at a distance.
  • the mobile station is installed at the housing of the autonomous lawn mower, the user walks along the boundary of the working region, an obstacle, a passage or the like, and the autonomous lawn mower follows the user, to record the map.
  • the task execution module of the autonomous lawn mower is kept off. The benefit of this approach is that the autonomous lawn mower follows the user when recording the map, so that it can be determined whether a position recorded on the map is accurate, and the map is examined.
  • the mobile station is separated from the autonomous lawn mower, and the mobile station is placed on a pushable cart.
  • the mobile station may be installed on a hand-propelled device, and the user pushes a cart and walks, to record the boundary of the working region, an obstacle, a passage or the like.
  • the benefit of this approach is that the mobile station moves stably, and an inertial navigation apparatus may be turned on.
  • the mobile station includes a second interface for connecting to the intelligent terminal of the user.
  • the intelligent terminal such as a mobile phone and a tablet may be installed on the mobile station through the second interface.
  • the second interface may include an electrical interface, so that when being installed on the mobile station, the intelligent terminal is electrically connected to the mobile station.
  • the mobile station communicates with the intelligent terminal wirelessly by using the communications module.
  • the wireless communication manner may be Wi-Fi, a cellular network, Bluetooth or the like.
  • the intelligent terminal is installed on the mobile station and displays in real time information recorded by the mobile station.
  • the mobile station includes several buttons configured to input instructions such as “record a map” and “complete recording”.
  • the mobile station includes a display screen displaying information in real time in place of the intelligent terminal.
  • the charging station is used as a starting point on the map, and the autonomous lawn mower starts to work from the charging station.
  • the mobile station is installed on the autonomous lawn mower, so that the autonomous lawn mower is in a charging state, or the charging state of the autonomous lawn mower is simulated, that is, a docking state is completed, recording of the position information of the charging station is confirmed manually or by using a charging signal.
  • the position information of the charging station includes position coordinates, and further includes attitude information of the autonomous lawn mower.
  • the autonomous lawn mower includes an acceleration sensor, an electronic compass, and the like. To record the position of the charging station, the acceleration sensor, the electronic compass, and the like are used to record current information such as a direction and a tilt angle of the autonomous lawn mower, to facilitate accurate docking when the autonomous lawn mower returns.
  • the mobile station includes a map generation module configured to generate the map of the working region according to recorded position coordinates and save the map.
  • a map generation module configured to generate the map of the working region according to recorded position coordinates and save the map.
  • every time the user walks to form a closed region the user uses a button to input a map generation instruction to generate map information of the closed region. For example, when recording the boundary of the working region, the user walks along a boundary of a sub-working region. After the boundary of the sub-working region is completed, the boundary of the sub-working region is generated, and then a boundary of a next sub-working region starts to be recorded.
  • the map information corresponding to the closed region is generated, and the user then records a next closed region.
  • an attribute is assigned to the recorded closed region. For example, if a boundary attribute is assigned to the recorded closed region, the autonomous lawn mower can work within the region but cannot leave the region. If an obstacle attribute is assigned to the recorded closed region, the autonomous lawn mower cannot enter the region. In addition, the obstacle needs to be located inside the boundary. Therefore, a part, outside the boundary, of the obstacle will be discarded. If a passage attribute is assigned to the recorded closed region, the autonomous lawn mower can enter the region but cannot perform grass cutting work within the region. A passage may be located inside or outside the boundary.
  • the passage is used to connect two separate sub-working regions. Therefore, the passage needs to intersect with both the sub-working regions. If a passage is located inside the boundary, the passage is usually a non-lawn surface. Therefore, the autonomous lawn mower is also forbidden to perform grass cutting work.
  • a Cartesian coordinate system is established to generate the map.
  • the first point from which recording is started is used as the origin (0, 0) of the coordinate axes.
  • the position coordinates that correspond to the origin and are output by the mobile station are (x0, y0).
  • the origin (0, 0) of the coordinate axes corresponds to the position coordinates of the charging station.
  • the mobile station outputs position coordinates (x1, y1), and converts the position coordinates (x1, y1) into (x1 ⁇ x0, y1 ⁇ y0) when generating the map, so as to convert a satellite positioning coordinate system into the Cartesian coordinate system.
  • a raster image is generated based on the Cartesian coordinate system.
  • Rasterization precision for example, 1 mm, is defined.
  • straight lines are drawn at an interval of 1 mm separately on X and Y axes, so as to form the raster image.
  • the recorded position coordinates are converted into a grid on the Cartesian coordinate system.
  • the map recording process is equivalent to a process of placing points on the raster image. As the points are placed, each point further records some other information, for example, a DGPS signal condition at the point, the altitude of the point, and a positioning error of the point.
  • a boundary, an obstacle, and a passage are all generated in a similar way.
  • a cell attribute is assigned to a raster cell.
  • the cell attribute includes coordinates, whether the autonomous lawn mower can cover the raster cell, whether the autonomous lawn mower passes through the raster cell, a quantity of times that the autonomous lawn mower passes through the raster cell, a DGPS signal condition, a positioning error, altitude, a slope, temperature, humidity, sunlight intensity, and the like. If the cell attribute of a raster cell indicates that the autonomous lawn mower cannot cover the raster cell, when the autonomous lawn mower approaches a position corresponding to the raster cell, the control module controls the autonomous lawn mower to change a movement manner to stay away from the position corresponding to the raster cell.
  • the cell attribute of a raster cell indicates that the autonomous lawn mower can cover the raster cell, every time the autonomous lawn mower passes through the raster cell, the cell attribute being the quantity of times that the autonomous lawn mower passes through the raster cell of the raster cell is increased by 1.
  • an offset operation is performed on the map to eliminate a positioning error.
  • the mobile station is installed at the housing of the autonomous lawn mower to output coordinates of the current position of the autonomous lawn mower.
  • the positioning center of the autonomous lawn mower deviates from the positioning center of the mobile station during map recording.
  • a safety problem may occur if the deviation is not calibrated. For example, when the autonomous lawn mower moves towards the boundary but the positioning center of the autonomous lawn mower is still within the boundary, the autonomous lawn mower continues to move, and as a result the autonomous lawn mower moves outside the boundary.
  • an offset operation is performed on the map.
  • a distance D of the deviation of the positioning center of the autonomous lawn mower from the positioning center of the mobile station during map recording is determined, the boundary, an obstacle, a passage, and the like are offset on the map into the working region by the distance D.
  • the boundary and the passage are shrunk by the distance D, and the obstacle is enlarged by the distance D.
  • An operation of shrinking the boundary and a passage is also referred to as a map erosion, and an operation of enlarging the obstacle is also referred to as a map expansion.
  • a positioning error also exists during map recording.
  • the severity of the positioning error is related to a DGPS signal condition, that is, is related to a precision level of a coordinate point.
  • DGPS signal condition When the GPS signal is strong, the positioning error is relatively small, and when the GPS signal is weak, the positioning error is relatively large.
  • an offset operation is performed on the map to eliminate a positioning error, first, a positioning error of the position is evaluated according to DGPS signal conditions at different positions. This is also referred to as error evaluation. Deviations on the map are then adjusted according to error evaluations of different positions.
  • An offset operation similarly includes an erosion and an expansion.
  • the map of the region may be joined with the maps of other regions.
  • the step of generating the map of the working region is completed.
  • the mobile station further includes an auxiliary positioning apparatus.
  • the auxiliary positioning apparatus includes a pedometer, a laser radar, a camera, an odometer, an ultrasonic wave, and the like.
  • the inertial navigation system may also be considered as an auxiliary positioning apparatus.
  • the auxiliary positioning apparatus is configured to assist in DGPS positioning when a DGPS signal is weak, and a correction value output by the auxiliary positioning apparatus is used to correct a positioning error, so that the generated map is more precise.
  • the working region has a boundary with a regular shape, for example, a rectangular boundary.
  • a regular shape for example, a rectangular boundary.
  • the user only needs to record the positions of the vertices of the working region.
  • the vertices are connected to obtain the boundary.
  • map generation efficiency can be improved, and a possible region with a poor DGPS signal in the middle is avoided.
  • DGPS positioning is implemented by using communication between the base station and the mobile station.
  • the base station is disposed in several manners to enable the base station and the mobile station to reliably and efficiently provide navigation data to the autonomous working system.
  • the base station is disposed at the charging station and is powered by the charging station.
  • the base station may be disposed separately from the charging station.
  • the base station may be powered by independent energy sources. For example, a power form such as solar energy and wind energy may be used.
  • a power form such as solar energy and wind energy may be used.
  • the user detaches the mobile station from the autonomous lawn mower and then moves the mobile station to the position where the user intends to install the charging station.
  • the user turns on positioning, determines positioning precision, and confirms that the positioning precision is high before fixing the charging station.
  • the base station is provided with an acoustic, optical, electrical apparatus or the like configured to feed back a condition of a satellite signal to indicate whether an installing position or receiving quality of the base station is appropriate.
  • the base station can perform comparison by using historical coordinates to determine whether there is an exception such as blockage. If positioning precision is reduced, it indicates that the base station may be blocked.
  • the base station sends prompt information to the user or the autonomous lawn mower by using a communications module, or switches a state to wait for recovery.
  • the base station receives a satellite signal by using a GPS antenna, and sends acquired carrier phase information to the mobile station by using the communications module.
  • the communications module includes a radio station and a radio station antenna, and may also include a Sub-1G module, a Wi-Fi module, and a 2G/3G/4G/5G module.
  • the mobile station also receives a satellite signal by using a GPS antenna, and also receives, by using a communications module corresponding to the base station, a carrier phase signal acquired by the base station, to calculate relative position coordinates of the mobile station with respect to the base station.
  • the relative position coordinates include longitude and latitude, and may further include altitude. The precision may reach a centimeter level.
  • the mobile station may selectively communicate with one of a plurality of different base stations.
  • the mobile station may selectively communicate with a first base station or a second base station.
  • the autonomous working system includes a plurality of base stations, or, base stations of different autonomous working systems located within a region may be shared. The mobile station is switched among the plurality of base stations. When an exception occurs during communication between the mobile station and the first base station, the mobile station may be autonomously switched to the second base station for communication.
  • a satellite based augmentation system may further be used to implement DGPS navigation.
  • the base station and the mobile station may further communicate by using a lora technology.
  • DGPS positioning is implemented based on that the base station is fixed at a position.
  • position coordinates output by the mobile station have deviations.
  • the mobile station is used to obtain a movement position of the base station, and the obtained movement position is used to correct the generated map.
  • a map correction process is as follows: 1).
  • the base station 17 is fixed at a point A, and the mobile station 15 keeps a record and generates a map. 2).
  • the user intends to move the base station 17 to another position point B for a reason.
  • the mobile station 15 is moved to the point B, and the mobile station 15 sends position coordinates of the point B to the base station 17 . 4).
  • the base station 17 is moved to the position B, and the base station 17 corrects its position. Meanwhile, the mobile station 15 learns of a deviation of the position of the base station 17 , and corrects the map according to the offset. The corrected map overlaps with the map before correction. Therefore, it is not necessary to record a map again.
  • the mobile station includes a path generation module generating a path plan according to the map of the working region.
  • the working region is divided according to the boundary, an obstacle, a passage or the like of the working region.
  • the autonomous lawn mower implements more efficient coverage.
  • the working region is divided into two sub-working regions connected through a passage.
  • the autonomous lawn mower first completes coverage in one of the sub-working regions, and then enters the other sub-working region through the passage to work. In this way, the autonomous lawn mower is prevented from working inefficiently for moving repeatedly between the two ends of the passage.
  • the working region is divided into two sub-regions, and the autonomous lawn mower is prevented from encountering an obstacle frequently.
  • the boundary may further be divided into different sub-regions based on a portion with a regular shape and a portion with an irregular shape.
  • the autonomous lawn mower may cover a regular sub-region by using a regular path and cover an irregular sub-region by using a random path.
  • an overlapping portion is provided between adjacent sub-regions, to ensure coverage on the portion between the adjacent sub-regions.
  • the area of a region in which the autonomous lawn mower can work one time is estimated according to the capacity of a battery pack to determine the size of a section.
  • the working region may further be divided according to the growth of plants, so that the autonomous lawn mower works at higher cutting power for a longer cutting time in a region with dense plants and works at lower cutting power for a shorter cutting time in a region with sparse plants.
  • the working region may further be divided according to the priorities of regions. For example, a front yard and a back yard of a user are different sub-regions, so that the autonomous lawn mower works in the front yard and the backyard by using different working strategies.
  • the working region may further be divided according to comprehensive factors such as a quantity of obstacles.
  • a path of the autonomous lawn mower in each sub-region is planned.
  • a preset path of the autonomous lawn mower in each sub-region may be a regular path such as parallel paths and a spiral path or may be a random path.
  • a sub-working region D shown in FIG. 7 includes a building 51 . It may be predicted that satellite signals are poor in a region near the building 51 due to blockage by the building, and the navigation module has low positioning precision. If the autonomous lawn mower moves on a path parallel to an edge of the building 51 , when the autonomous lawn mower moves near the building 51 , the navigation module keeps outputting low precision signals. As a result, the autonomous lawn mower may fail to move on a planned path, or move inefficiently. To avoid the foregoing condition, a path in a region on an edge of the building 51 may be planned to be a path perpendicular to the edge of the building 51 .
  • the navigation module outputs a low precision signal only when the autonomous lawn mower is near an edge of the building 51 .
  • the navigation module outputs a high precision signal.
  • satellite signals are poor, positioning errors of the inertial navigation apparatus accumulate, and the positioning precision gradually decreases.
  • satellite signals become strong again and may be used to calibrate inertial navigation errors. Therefore, with the movement on such a path, it can be ensured that the navigation module outputs strong positioning signals most of the time.
  • a path plan is autonomously generated by a path generation module, and certainly may be alternatively manually adjusted by the user according to the condition of the working region.
  • the autonomous lawn mower may be adjusted during movement in real time according to the precision of a positioning signal. The case shown in FIG. 7 is used as an example. During movement, the autonomous lawn mower may adjust in real time directions of walking back and forth.
  • the autonomous lawn mower when encountering an obstacle, may move around the obstacle or may turn around. If the autonomous lawn mower moves around the obstacle when encountering the obstacle, the navigation module may be used to generate a vector image for moving around the obstacle.
  • the autonomous lawn mower can distinguish a moving obstacle from a stationary obstacle.
  • the stationary obstacle is an obstacle having a fixed position in the working region, and is usually an obstacle recorded on the map. If the autonomous lawn mower repeatedly encounters an obstacle at a same position during movement but the obstacle is not recorded on the map, the autonomous lawn mower may determine that the obstacle is a newly found stationary obstacle.
  • the moving obstacle is an obstacle that appears at an indefinite position in the working region, and is usually an obstacle that the autonomous lawn mower temporarily encounters during movement and appears at a same position occasionally.
  • the moving obstacle may be a human, an animal or the like that appears in the working region.
  • the autonomous lawn mower distinguishes a moving obstacle from a stationary obstacle according to whether an obstacle is recorded on the map or according to a frequency of encountering an obstacle at a same position, and uses different obstacle avoidance strategies.
  • the obstacle avoidance strategies include moving around an obstacle, turning around, and the like.
  • the autonomous lawn mower adjusts a movement range according to the condition of a positioning signal during movement.
  • the movement range is shrunk and the autonomous lawn mower continues moving within a small range or the autonomous lawn mower stops moving.
  • the navigation module further includes a gyroscope configured to control the autonomous lawn mower to move along a straight line.
  • a gyroscope configured to control the autonomous lawn mower to move along a straight line.
  • the gyroscope and a DGPS positioning signal are used in combination to perform navigation.
  • the preset path is divided into a plurality of segments.
  • a moving direction is determined.
  • the autonomous lawn mower uses the gyroscope to perform navigation.
  • the gyroscope is configured to control the autonomous lawn mower to move along a straight line, to prevent the moving direction of the autonomous lawn mower from deviating.
  • a DGPS positioning signal is used to calibrate the moving direction. Specifically, the control module determines whether the current position of the autonomous lawn mower is on the preset path. If the current position of the autonomous lawn mower deviates from the preset path, the moving direction of the autonomous lawn mower is adjusted to enable the autonomous lawn mower to return to the preset path. When moving along a next segment of the path, the autonomous lawn mower moves along a straight line again in a calibrated direction by using the gyroscope.
  • control module may calibrate the moving direction of the autonomous lawn mower in real time, or may redraw segments.
  • the autonomous lawn mower moves along parallel paths.
  • the autonomous lawn mower steers to move in an opposite direction.
  • the autonomous lawn mower covers a plurality of points F and G between adjacent parallel paths, to ensure complete coverage, thereby avoiding a problem that a region near the boundary is not covered due to steering by a right angle (referring to FIG. 10( a ) ).
  • the autonomous lawn mower moves, if an exception occurs in communication between the base station and the mobile station, for example, communication is interrupted or a DGPS signal is poor and as a result the navigation module keeps outputting low precision positioning signals, the autonomous lawn mower is controlled to adjust a movement manner.
  • the autonomous lawn mower adjusts the movement manner, the autonomous lawn mower is switched between working states. For example, the autonomous lawn mower is switched to a random walking mode, or returns to the charging station, or enters a search mode to search for strong satellite signals.
  • the autonomous lawn mower adjusts the movement manner, the autonomous lawn mower enables the task execution module to stop working, reverse, steer, stop or perform another operation.
  • a path generation module is further configured to generate a return path.
  • the working region shown in FIG. 11 is used as an example, and currently the charging station 2 is located inside the working region.
  • a path generation module computes a shortest path from the autonomous lawn mower 1 to the charging station 2 according to information about the current position of the autonomous lawn mower 1 and the map information and generates a return path 53 .
  • the control module controls the autonomous lawn mower 1 to move along the return path 53 to return to the charging station 2 .
  • the computation of the shortest path is related to the position of the charging station 2 , and is further related to obstacle distribution in the working region and whether there is a passage between the autonomous lawn mower 1 and the charging station 2 .
  • the autonomous lawn mower 1 passes through the fewest raster cells when moving along the shortest path.
  • the control module records the return path of the autonomous lawn mower 1 .
  • the control module compares a newly generated return path with a previous return path or several previous return paths to determine whether an overlapping portion exists between the newly generated return path and the previous return path or the several previous return paths. If an overlapping portion exists, the return path is modified to avoid a return path overlap. For example, a part of the return path is offset by a distance.
  • a method for generating a return path by the path generation module is different from the method in the first embodiment.
  • a path generation module sets several return paths 53 according to the generated map.
  • the control module determines shortest distances from the autonomous lawn mower 1 to the several return paths 53 , selects a closest return path 53 , and controls the autonomous lawn mower 1 to move to the nearest return path 53 along a path with the shortest distance and return to the charging station 2 along the return path 53 .
  • the autonomous lawn mower 1 may alternatively move to the nearest return path 53 randomly.
  • the autonomous lawn mower 1 moves randomly, and when the control module determines that the autonomous lawn mower 1 is located on one of the return paths 53 , the autonomous lawn mower 1 is controlled to return to the charging station 2 along the return path 53 .
  • the autonomous lawn mower 1 can be prevented from returning along a same path to crush the lawn.
  • a return path may be alternatively recorded by the user during map recording. Specifically, the user holds the mobile station and moves from different positions in the working region to the charging station, and positions covered by the movement are recorded to form the return path.
  • a method for generating a return path by the path generation module is different from the method in the first embodiment.
  • the autonomous lawn mower 1 when needing to return to the charging station 2 , the autonomous lawn mower 1 first moves to the boundary 200 , moves to the position of the charging station 2 along the boundary 200 , and then moves to the charging station 2 .
  • the path generation module determines a point, on the boundary 200 , having the shortest distance from the autonomous lawn mower 1 according to the current position of the autonomous lawn mower 1 and the position of the boundary 200 , connects the current position of the autonomous lawn mower 1 and the point to form a first segment of the path, computes, according to the position of the point and the position of the charging station 2 , the shortest path for the autonomous lawn mower 1 to move from the point along the boundary 200 and then move from the boundary 200 to a position right in front of the charging station 2 , generates a second segment of the path according to the computed shortest path, and joins the first segment of the path and the second segment of the path to generate the return path 53 .
  • the autonomous lawn mower 1 when the charging station 2 is located on the boundary 200 , the autonomous lawn mower 1 can directly move to the position right in front of the charging station 2 along the boundary 200 .
  • the autonomous lawn mower 1 moves towards the charging station 2 along the boundary 200 and then reaches the position right in front of the charging station 2 .
  • the autonomous lawn mower 1 moves along the boundary 200 on a different path each time. Specifically, the autonomous lawn mower 1 moves along the boundary 200 at a variable distance from the boundary 200 . That is, during each return, the autonomous lawn mower 1 moves along the boundary 200 at a different distance from the boundary 200 . In this way, the autonomous lawn mower 1 can be prevented from returning along the boundary 200 at a fixed distance to crush the lawn.
  • the autonomous lawn mower 1 moves to the position right in front of the charging station 2 , for example, at about 1 m in front, a docking process is started. Because a docking angle, a tilt angle, and the like are recorded during map recording, the autonomous lawn mower 1 may be docked in a constant direction based on the information, so that a docking error is mitigated.
  • the autonomous lawn mower may further autonomously determine a work schedule according to properties such as an area and a shape of a map.
  • the work schedule includes a working time for each sub-region, a work order for the sub-regions, a quantity of times of covering each sub-region, and the like.
  • a DGPS clock may be used to replace a clock chip.
  • the navigation module and an environment detection sensor are combined to address a safety problem.
  • the environment detection sensor includes a step sensor, a lawn sensor, an optical sensor, a camera, a radar, an ultrasound sensor, a collision detection sensor, and the like.
  • the navigation module is used to record the current position and a corresponding exception on a map.
  • the autonomous lawn mower moves to the position, the movement manner of the autonomous lawn mower is adjusted to avoid a safety accident.
  • the map and the path are respectively generated by the map generation module and the path generation module of the mobile station. It may be understood that in other embodiments, the control module of the autonomous lawn mower obtains position coordinates recorded by the mobile station, and the control module may generate the map and the path.
  • the charging station is a wireless charging station.
  • the autonomous lawn mower can approach the charging station from any direction to perform docking. Therefore, according to the current position of the autonomous lawn mower and the position of the charging station, the autonomous lawn mower can be conveniently guided by using DGPS navigation to return to the charging station and be docked to the charging station.
  • the working region of the self-moving device needs to be divided.
  • FIG. 14 is a schematic flowchart of a dividing method for a working region of a self-moving device according to an embodiment of the present invention.
  • the dividing method for a working region of a self-moving device according to this embodiment including: S 510 , detecting whether a working region includes a shaded region, the shaded region being a region in which a positioning signal received by the self-moving device does not satisfy a quality condition; S 520 , determining a boundary condition of the working region; S 530 , determining a contour condition of the shaded region; and S 540 , dividing the working region into a plurality of sub-working regions based on the boundary condition of the working region and the contour condition of the shaded region, a part of the shaded region in any sub-working region being a sub-shaded region, the sub-shaded region having a length direction and a width direction, and the division enabling a length of the sub-shaded region in the width direction to
  • the sub-shaded region has an approximately regular shape, for example, an approximately rectangular shape.
  • the length direction and the width direction are respectively a long side direction and a short side direction of a rectangle.
  • the sub-shaded region has an approximately elliptical shape.
  • the length direction and the width direction are respectively a major axis direction or a minor axis direction of an ellipse.
  • the sub-shaded region has an irregular shape.
  • a mathematical method known in the industry may be used to approximate the irregular shape into a regular shape for processing.
  • another method may be used to determine the length direction and the width direction of the sub-shaded region. Subsequent steps are then performed based on the determined length direction and width direction.
  • the width direction of the shaded region is already less than the predetermined threshold and there is no other case in which the shaded region needs to be divided, it is not necessary to divide the shaded region into different sub-regions, and the sub-shaded region is the shaded region itself.
  • the shaded region is divided into a plurality of sub-regions. For each sub-region, a width of the sub-shaded region is less than the predetermined threshold.
  • a specific division manner is a known mathematical processing process, and details are not described herein.
  • the self-moving device works in the sub-regions in the following manner. That is, the dividing method for a working region of a self-moving device according to this embodiment further includes: controlling the self-moving device to travel in the width direction in the sub-shaded region.
  • the self-moving device is controlled to travel in the width direction, there may be an error between a travel direction and the width direction.
  • the error between the travel direction of the self-moving device and the width direction is within a range, it is considered that the self-moving device travels in the width direction in the sub-shaded region.
  • the self-moving device travels in the width direction and a length in the width direction is less than that in the length direction, it may be understood that a travel distance in the shaded region in the width direction is shorter than that in the length direction, so that an accumulated error is relatively small, and positioning is more accurate. Further, because the predetermined threshold is set, the accumulated error may be controlled in an acceptable range.
  • the approximate width direction should be construed relatively flexibly, so that the travel distance of the self-moving device in the direction is usually less than the travel distance in the length direction.
  • the direction is between the width direction minus 30° and the width direction plus 30°.
  • the direction is between the width direction minus 20° and the width direction plus 20°, the width direction minus 15° and the width direction plus 15°, the width direction minus 10° and the width direction plus 10°, the width direction minus 5° and the width direction plus 5° or the width direction minus 3° and the width direction plus 3°.
  • the traveling in the width direction in the sub-shaded region includes:
  • traveling in the width direction in the sub-shaded region further includes:
  • the shaded region mentioned in this embodiment is a region in which a positioning signal, for example, a satellite positioning signal, received by the self-moving device has poor signal quality.
  • the shaded region may be determined by determining whether a positioning signal received by the self-moving device satisfies the quality condition.
  • the positioning signal may be directly output by a positioning module, for example, a GPS module, or may be output by a processor of mobile station by combining various input data.
  • the positioning signal is output by the processor of the mobile station by combining various input data. The reason is that the positioning module only outputs a current signal quality index, while the processor further considers a quantity of signal sources, for example, a quantity of satellites, of currently received signals.
  • the positioning signal involves the quantity of signal sources and the signal quality of the signal sources.
  • a GPS system outputs positioning precision information of the GPS system when an RTK positioning technology of the GPS system is used.
  • GPGGA outputs 4 to represent high positioning precision that may generally reach a centimeter level, and outputs 3 to represent relatively poor positioning that generally reaches only a decimeter level. 1 or 2 represents that the positioning precision only reaches a meter level.
  • any region may be determined as the shaded region unless 4 is output.
  • the self-moving device cannot receive a positioning signal, for example, a satellite signal, in the shaded region, positioning precision is reduced, and high precision positioning can only be maintained for a short time (referred to as a tolerance time). Specifically, a working time of a positioning system of an autonomous lawn mower in the shaded region generally cannot exceed 1 minute to 2 minutes. Therefore, to ensure positioning precision of the self-moving device in the working region, the self-moving device cannot cross a shaded region with a relatively large area.
  • a positioning signal for example, a satellite signal
  • a working region is divided based on a contour shape of the shaded region, so that the shaded region with a relatively large area is divided into shaded regions with small areas, so as to form different paths to save the self-moving device from crossing the shaded region with a relatively large area.
  • a short side of each of the plurality of sub-working regions is less than a predetermined length threshold, for example, 10 meters.
  • the self-moving device enters each sub-working region in a short side direction during working. In this way, duration during which the self-moving device remains in the shaded region does not exceed the foregoing tolerance time, thereby ensuring that the self-moving device can maintain high precision positioning even if working in the shaded region.
  • FIG. 15( a ) to FIG. 15( c ) are schematic diagrams of performing division based on a shaded region according to an embodiment of the present invention.
  • FIG. 15( a ) and FIG. 15( b ) when a building is rectangular, a shaded region is also rectangular. Therefore, a direction of a narrow side of the shaded region is selected to perform division, so that the self-moving device walks in the direction of the narrow side of the shaded region.
  • An actual application scenario is shown in FIG. 15( c ) , a building (or another obstacle) exists in a working region, and signals are blocked around the building to form the shaded region.
  • the working region is divided into a plurality of sub-regions according to the shaded region.
  • the self-moving device may enter the shaded region in a plurality of directions to perform working.
  • a walking direction of the self-moving device is basically perpendicular to a contour line of the shaded region.
  • the shaded region may be known during the generation of a map or may be learned by the self-moving device during working. The latter will be further described below.
  • the dividing the working region into a plurality of sub-working regions based on the boundary condition of the working region and the contour condition of the shaded region includes: determining whether an area of the shaded region is greater than a predetermined area threshold; and, dividing the working region into the plurality of sub-working regions in response to determining that the area of the shaded region is greater than the predetermined area threshold.
  • the self-moving device preferably enters the shaded region in different directions from the plurality of divided sub-working regions, so that duration during which the self-moving device remains in the shaded region does not exceed the foregoing tolerance time.
  • the self-moving device enters the shaded region in a direction of a narrow side of a contour of the shaded region and leaves the shaded region in the same direction, so that the self-moving device covers a shortest distance in the shaded region.
  • the number of times that the self-moving device enters the shaded region to work is a predetermined number of times. For example, the self-moving device enters the shaded region from two ends of the shaded region respectively to work, so that the self-moving device enters the shaded region twice to work. In this case, if the working region in which the self-moving device enters the shaded region twice to work cannot cover the shaded region, division further needs to be performed.
  • the dividing the working region into a plurality of sub-working regions based on the boundary condition of the working region and the contour condition of the shaded region includes: dividing the working region into the plurality of sub-working regions based on the boundary condition of the working region and the contour condition of the shaded region, so that the self-moving device enters the shaded region in different directions in the plurality of sub-working regions.
  • that the self-moving device enters the shaded region in different directions in the plurality of sub-working regions includes: determining whether a predetermined number of movements of the self-moving device in different directions cover the shaded region; and, further dividing, in response to that the predetermined number of movements of the self-moving device in different directions do not cover the shaded region, the plurality of sub-working regions obtained after the division.
  • the dividing the working region into a plurality of sub-working regions based on the boundary condition of the working region and the contour condition of the shaded region includes: dividing the plurality of sub-working regions so that adjacent working regions of the plurality of sub-working regions have an overlapping portion.
  • overlapping divided regions are used to provide an overlapping portion between adjacent sub-working regions, so that it is ensured that the self-moving device can cover edge parts of all the divided regions.
  • the dividing the working region into a plurality of sub-working regions based on the boundary condition of the working region and the contour condition of the shaded region further includes: detecting a working area corresponding to a working time of a power supply of the self-moving device; determining whether an area of each of the plurality of sub-working regions is greater than the working area; and, further dividing the sub-working region in response to determining that an area of one of the plurality of sub-working regions is greater than the working area, so that an area of the working region obtained after the division is less than the working area.
  • a maximum working area of the self-moving device is restricted by a working time of a power supply, for example, a battery pack, of the self-moving device. Division is further performed according to that the working time of the power supply, for example, a working time of a single battery pack, is exceeded, so as to prevent the self-moving device from returning to a charging station to perform charging during working in a sub-working region, thereby improving working efficiency of the self-moving device.
  • the self-moving device needs to find again an interruption point during previous working, resulting in low working efficiency.
  • an obstacle for example, an obstacle 9
  • a size of the obstacle may be determined.
  • a divided region does not need to be formed for a small obstacle. Instead, the self-moving device moves around the small object (as shown in FIG. 8( a ) ) or turns around at the small object (as shown in FIG. 8( b ) ).
  • a vector image of moving around the obstacle may be formed by using a DGPS system or an inertial navigation system, so that the self-moving device moves around the obstacle.
  • division may be performed for a large obstacle.
  • the dividing method for a working region of a self-moving device in this embodiment further includes: detecting whether an obstacle exists in the working region; determining whether a size of the obstacle is greater than a predetermined size threshold; and dividing the working region based on the obstacle in response to that the size of the obstacle is greater than the predetermined size threshold.
  • the dividing method for a working region of a self-moving device in this embodiment further includes: skipping division of the working region in response to that the size of the obstacle is less than the predetermined size threshold; and controlling the self-moving device to move around the obstacle or turn around at the obstacle to move on.
  • stationary and moving obstacles may further be distinguished.
  • obstacles in the working region are recorded on a map of the working region to form an “obstacle map”.
  • the self-moving device detects an obstacle via, for example, a sensor, during working, and determines whether to update the obstacle map according to a detection result.
  • the obstacle map is updated, and division is performed again according to the updated map.
  • the self-moving device may move around a stationary obstacle or turn around at a stationary obstacle, and move around a moving obstacle.
  • the determining whether a size of the obstacle is greater than a predetermined threshold includes: detecting that a state of the obstacle is moving or stationary; detecting, in response to that the state of the obstacle is stationary, whether the size of the obstacle is greater than the predetermined size threshold.
  • the dividing method for a working region of a self-moving device in this embodiment further includes: skipping division of the working region in response to that the state of the obstacle is moving; and controlling the self-moving device to move around the obstacle or turn around at the obstacle to move on.
  • a narrow passage 400 may exist in the working region.
  • the passage is separately presented.
  • the passage is marked when a map is created, or the passage is recognized by using a recognition algorithm.
  • Two regions connected by the passage may be used as sub-working regions.
  • a common scenario of a passage is that the front yard and back yard of a user's house are connected via one passage in the middle. If division is not performed based on a passage, the self-moving device may work in the front yard for a while and then move to the back yard to work, and then runs out of power and returns to perform charging. For example, when the autonomous lawn mower performs grass cutting work in the front yard and the back yard, if the foregoing case occurs, it seems to a customer that neither of the front yard and the back yard has been completely cut.
  • a passage division technology in the dividing method for a working region of a self-moving device in this embodiment is used to recognize a passage or a user defines a passage, so that the self-moving device considers the front yard and the back yard as two independent regions, and finishes working in one region before moving to the other region. In this way, the customer may have better use experience.
  • the dividing method for a working region of a self-moving device in this embodiment further includes: detecting whether a passage exists in the working region; and dividing, in response to that a passage exists in the working region, the working region into a first sub-working region on one side of the passage and a second sub-working region on the other side of the passage.
  • the dividing method for a working region of a self-moving device in this embodiment further includes: detecting a vegetation growth condition in the working region; and dividing the working region based on the vegetation growth condition.
  • division may further be performed according to a vegetation health/growth condition.
  • division may further be performed by combining various factors.
  • the self-moving device further determines strategies for covering different sub-regions.
  • the strategies include the following cases:
  • Circle strategy As shown in FIG. 15( c ) , the self-moving device works in an order of A-B-C-D-E-F-G-H.
  • Neighbor strategy The self-moving device finishes work in one sub-working region and then enters an adjacent region to work.
  • FIG. 15( c ) Search for a nearest starting point: FIG. 15( c ) is still used as an example. Several starting points are set in advance for each sub-working region, and are usually vertex positions. After finishing work in one sub-working region, the self-moving device searches for a nearest starting point and moves to a sub-working region corresponding to the starting point to work.
  • An optimal point is calculated based on the foregoing starting points and an algorithm. Consideration factor in the algorithm may include moving as few obstacles as possible, walking directly, and the like. This may show a user that the self-moving device is highly intelligent.
  • a dividing strategy may keep being updated as the self-moving device works. For example, during working, the autonomous lawn mower evaluates a point that the autonomous lawn mower walks through, for example, to find out whether the point is in the shaded region or whether there is an obstacle at the point, updates the map, and adjusts the dividing strategy according to updated map information.
  • the self-moving device works for the first time, there is only contour information of a boundary, an obstacle, and the like on the map but no detail information about the interior of the map. At this time, the self-moving device decides that the remaining regions are free of shaded regions, and first performs division once to work. During working, the self-moving device draws detail information on the map according to information received by the GPS. In this case, being restricted by a working time (the working time generally does not exceed 1 minute to 2 minutes) of the self-moving device in a shaded region, the self-moving device may fail to work in some regions.
  • the self-moving device After completing work for the first time, the self-moving device performs division again according to known information of the interior and attempts to obtain a map of an unknown region through walking. After repeated walking, the self-moving device usually can update all map information. A dividing strategy updated after all information is obtained is relatively preferred.
  • the self-moving device may be involved in some accidents.
  • the self-moving device slides down a slope, deviates from a path, or is moved by a user.
  • the self-moving device performs division again according to a region in which the self-moving device has finished working and plans a walking path.
  • an unworked region for example, a region in which the autonomous lawn mower has not cut grass
  • a divided region is added for the unworked region, that is, the unworked region is used as a sub-working region.
  • the dividing method for a working region of a self-moving device in this embodiment further includes: in a process of controlling the self-moving device to move in the working region, obtaining map information of a path covered by the self-moving device; and updating a dividing strategy of the working region based on the map information.
  • the dividing method for a working region of a self-moving device in this embodiment further includes: determining whether an unworked region in which the self-moving device has not performed work exists in the working region; and dividing the working region to use the unworked region as a new sub-working region.
  • FIG. 16 is a schematic block diagram of a dividing apparatus according to an embodiment of the present invention.
  • the dividing apparatus 600 is configured to divide a working region of a self-moving device, and includes: a shaded region detection unit 610 , configured to detect whether a shaded region exists in the working region, the shaded region being a region in which a positioning signal received by the self-moving device does not satisfy a quality condition; a working region determining unit 620 , configured to determine a boundary condition of the working region; a shaded contour determining unit 630 , configured to determine a contour condition of the shaded region detected by the shaded region detection unit 610 ; and a dividing unit 640 , configured to divide the working region into a plurality of sub-working regions based on the boundary condition of the working region determined by the working region determining unit 620 and the contour condition of the shaded region determined by the shaded contour determining unit 630 , a part of the shaded region in any sub-working region being
  • the predetermined threshold is less than 10 meters or 5 meters or 2 meters.
  • the dividing apparatus 600 further includes: a control unit, configured to control the self-moving device to travel in the width direction in the sub-shaded region.
  • control unit is configured to: control the self-moving device to enter the sub-shaded region from one side in the width direction; and, control the self-moving device to keep traveling in the width direction to reach the other side of the sub-shaded region.
  • control unit is further configured to: control the self-moving device to leave the sub-shaded region from the other side; or, control the self-moving device to turn around at the other side to leave from the side, where a travel direction after the turnaround is the width direction.
  • the dividing unit 640 is configured to: determine whether an area of the shaded region is greater than a predetermined area threshold; and, divide the working region into the plurality of sub-working regions in response to determining that the area of the shaded region is greater than the predetermined area threshold.
  • the dividing unit 640 is configured to: divide the working region into a plurality of sub-working regions based on the boundary condition of the working region and the contour condition of the shaded region; and control the self-moving device to enter the shaded region in different directions in the plurality of sub-working regions.
  • the dividing unit 640 is configured to: determine whether a predetermined number of movements of the self-moving device in different directions cover the shaded region; and, further divide, in response to that the predetermined number of movements of the self-moving device in different directions do not cover the shaded region, the plurality of sub-working regions obtained after the division.
  • the dividing unit 640 is configured to divide the plurality of sub-working regions so that adjacent working regions of the plurality of sub-working regions have an overlapping portion.
  • the dividing apparatus 600 further includes: a working area detection unit, configured to detect a working area corresponding to a working time of a power supply of the self-moving device; and a working area determining unit, configured to determine whether an area of each of the plurality of sub-working regions is greater than the working area, where the dividing unit is configured to further divide the sub-working region in response to determining that an area of one of the plurality of sub-working regions is greater than the working area, so that an area of the working region obtained after the division is less than the working area.
  • the dividing apparatus 600 further includes: an obstacle detection unit, configured to detect whether an obstacle exists in the working region; and an obstacle determining unit, configured to determine whether a size of the obstacle is greater than a predetermined size threshold, where the dividing unit is configured to divide the working region based on the obstacle in response to that the size of the obstacle is greater than the predetermined size threshold.
  • the dividing unit 640 is configured to skip division of the working region in response to that the size of the obstacle is less than the predetermined size threshold; and the control unit is configured to control the self-moving device to move around the obstacle or turn around at the obstacle to move on.
  • the obstacle determining unit is configured to: detect that a state of the obstacle is moving or stationary; and detect, in response to that the state of the obstacle is stationary, whether the size of the obstacle is greater than the predetermined size threshold.
  • the dividing unit 640 is configured to: skip division of the working region in response to that the state of the obstacle is moving; and control the self-moving device to move around the obstacle or turn around at the obstacle to move on.
  • the dividing apparatus 600 further includes: a passage detection unit, configured to detect whether a passage exists in the working region, where the dividing unit 640 is configured to divide, in response to that a passage exists in the working region, the working region into a first sub-working region on one side of the passage and a second sub-working region on the other side of the passage.
  • a passage detection unit configured to detect whether a passage exists in the working region
  • the dividing unit 640 is configured to divide, in response to that a passage exists in the working region, the working region into a first sub-working region on one side of the passage and a second sub-working region on the other side of the passage.
  • the dividing apparatus 600 further includes: a vegetation detection unit, configured to detect a vegetation growth condition in the working region, where the dividing unit is configured to divide the working region based on the vegetation growth condition.
  • the dividing apparatus 600 further includes: a map information obtaining unit, configured to: in a process of controlling the self-moving device to move in the working region, obtain map information of a path covered by the self-moving device, where a dividing strategy update unit, configured to update a dividing strategy of the working region based on the map information.
  • a map information obtaining unit configured to: in a process of controlling the self-moving device to move in the working region, obtain map information of a path covered by the self-moving device, where a dividing strategy update unit, configured to update a dividing strategy of the working region based on the map information.
  • the dividing apparatus 600 further includes: a blank region detection unit, configured to detect whether an unworked region in which the self-moving device has not performed work exists in the working region, where the dividing unit 640 is configured to divide the working region to use the unworked region as a new sub-working region.
  • An embodiment of the present invention further relates to an autonomous working system, including: a self-moving device, moving and working within a working region defined on a map; and the dividing apparatus discussed above.
  • the self-moving device is an autonomous lawn mower.
  • the autonomous working system is an autonomous lawn mower.
  • An embodiment of the present invention further relates to a self-moving device, moving and working within a working region defined on a map, and including the foregoing dividing apparatus.
  • the beneficial effect of the present invention is as follows: A shaded region in a working region is detected and is divided based on a boundary condition of the working region and a contour condition of the shaded region, so that it can be ensured that a self-moving device safely and efficiently covers the working region.
  • the electronic device may be an electronic device integrated in a mobile station of a self-moving device or a standalone device independent of the mobile station.
  • the standalone device may communicate with the mobile station to implement the dividing method for a working region of a self-moving device in the embodiments of the present invention.
  • FIG. 17 is a schematic block diagram of an electronic device according to an embodiment of the present invention.
  • the electronic device 700 includes one or more processors 710 and a memory 720 .
  • the processor 710 may be a central processing unit (CPU) or another form of processing unit having a data processing capability and/or an instruction execute capability, and may control other components in the electronic device 700 to perform desired functions.
  • CPU central processing unit
  • the processor 710 may be a central processing unit (CPU) or another form of processing unit having a data processing capability and/or an instruction execute capability, and may control other components in the electronic device 700 to perform desired functions.
  • the memory 720 may include one or more computer program products.
  • the computer program product may include various forms of computer readable storage media, for example, a volatile memory and/or a non-volatile memory.
  • the volatile memory may include, for example, a random-access memory (RAM) and/or a cache.
  • the non-volatile memory may include, for example, a read-only memory (ROM), a hard disk, and a flash memory.
  • the computer readable storage medium may store one or more computer program instructions.
  • the processor 710 may execute the computer program instructions to implement the foregoing dividing method for a working region of a self-moving device in various embodiments of the present invention and/or other desired functions.
  • the computer readable storage medium may further store a variety of content such as a boundary condition of a working region, a contour condition of a shaded region, and obstacle information.
  • the electronic device 700 may further include an input apparatus 730 and an output apparatus 740 . These components are interconnected by using a bus system and/or another form of connection mechanism (not shown).
  • the input apparatus 730 may be configured to receive a user input.
  • the output apparatus 740 may directly output various types of information or control the mobile station to send a signal.
  • FIG. 17 shows only some of the components related to the present application in the electronic device 700 , and components such as a bus, an input/output interface and the like are omitted.
  • the electronic device 700 may further include any other appropriate component.
  • an embodiment of the present application may further be a computer program product, including computer program instructions, where being executed by a processor, the computer program instructions enable the processor to perform the steps in the dividing method for a working region of a self-moving device according to various embodiments of the present invention described in the foregoing “exemplary dividing method” portion of this specification.
  • one or any combination of a plurality of programming languages may be used to compile a program code used to perform the operations in this embodiment of the present application.
  • the programming languages include object-oriented programming languages such as Java and C++, and further include conventional procedural programming languages such as “C” language or similar programming languages.
  • the program code may be completely executed on a user computing device, partially executed on user equipment, executed as an independent software package, partially executed on the user computing device and partially executed on a remote computing device, or completely executed on a remote computing device or server.
  • an embodiment of the present application may further be a computer readable storage medium, storing computer program instructions, where when being executed by a processor, the computer program instructions enable the processor to perform the steps in the dividing method for a working region of a self-moving device according to various embodiments of the present invention described in the foregoing “exemplary method” portion of this specification.
  • the computer readable storage medium may use one or any combination of a plurality of readable media.
  • the readable medium may be a readable signal medium or a readable storage medium.
  • the readable storage medium may include, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared or semiconductor system, apparatus or device or any combination of the foregoing.
  • a more specific example (a nonexhaustive list) of the readable storage medium includes the following: an electrical connection with one or more leads, a portable disk, a hard disk, a RAM, a ROM, an erasable programmable ROM (EPROM or a flash memory), an optical fiber, a portable compact disc ROM (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
  • the block diagrams of the devices, apparatuses, equipment, and systems used in the present application are only exemplary but are not intended to require or imply identical connections, arrangements, and configurations in the manners shown in the block diagrams.
  • a person skilled in the art will conceive of that these devices, apparatuses, equipment, and systems may be connected, arranged or configured in any manner.
  • the words such as “include”, “comprise”, and “have” are non-exclusive words and mean “include, but is not limited to”, and these words may be used interchangeably.
  • the words “or” and “and” used herein mean the word “and/or”, and these words may be used interchangeably, unless explicitly indicated otherwise in the context.
  • the words “for example” used herein means the words “for example, but is not limited to”, and these words may be used interchangeably.
  • Embodiment of the present invention provides a moving method of a self-moving device.
  • a self-moving device moves and works within a defined working region.
  • the self-moving device 1 is an autonomous lawn mower.
  • the self-moving device may be an autonomous leaf blower, an autonomous water sprinkler, a multifunctional machine, an autonomous vacuum cleaner or the like. Referring to FIG. 18 and FIG.
  • the moving method of a self-moving device includes the following steps: step S 100 : presetting a movement path of the self-moving device 1 ; step S 200 : enabling the self-moving device 1 to move along the walking path; and step S 300 : checking whether a moving direction of the self-moving device 1 deviates from the preset movement path, and when the moving direction of the self-moving device 1 deviates from the preset movement path, calibrating the moving direction of the self-moving device 1 , to enable the self-moving device 1 to move along the preset movement path.
  • step S 100 presetting a movement path of the self-moving device 1
  • step S 200 enabling the self-moving device 1 to move along the walking path
  • step S 300 checking whether a moving direction of the self-moving device 1 deviates from the preset movement path, and when the moving direction of the self-moving device 1 deviates from the preset movement path, calibrating the moving direction of the self-moving device 1 , to enable the self
  • the preset movement path includes several first path segments S 1 , the first path segment S 1 is divided into several sub-path segments Ln (n is a positive integer), and an end point of the sub-path segment Ln is referred to as a node P 1 n (n is a positive integer).
  • the calibrating the moving direction of the self-moving device 1 includes: using the node P 1 n as a target point, and calibrating the moving direction of the self-moving device 1 . Further, the self-moving device 1 arrives at the node, and a next node in the moving direction is used as the target point to determine the moving direction of the self-moving device 1 .
  • a next node P 13 in the moving direction is used as the target point to determine the moving direction of the self-moving device 1 .
  • the self-moving device 1 may walk along a straight line.
  • several nodes may be preset to divide the first path segment into the several sub-path segments Ln.
  • the node may be set and/or updated as the self-moving device moves along the preset movement path, to divide the first path segments into the several sub-path segments Ln.
  • the walking path including the several first path segments S 1 of the self-moving device is preset, the first path segment S 1 is divided into several sub-path segments Ln, an end point of each sub-path segment is used as the node P 1 n , and each node P 1 n is used as the target point to calibrate the moving direction of the self-moving device, so as to calibrate the moving direction of the self-moving device at each sub-path segment Ln, so that a smallest unit for calibrating the moving direction of the self-moving device is reduced, thereby effectively improving working precision of the self-moving device.
  • the self-moving device For example, if the self-moving device walks continuously along a straight line by 20 meters, the self-moving device deviates by 34 cm, and the direction of the self-moving device deviates by only one 1 degree. Generally, the angle needs to be adjusted as soon as the self-moving device deviates by 10 cm. Therefore, it is necessary to divide a straight line segment into several segments. For example, each segment is 1 m long, and the self-moving device calculates a deviation angle every time the self-moving device moves by 1 m. In this way, the self-moving device may respond to a deviation of a position in time, thereby improving working precision of the self-moving device.
  • an extending direction of the first path segment may be a straight line direction shown in FIG. 19 and FIG. 20 a .
  • the straight line direction includes a vertical straight line direction shown in FIG. 19 or an inclined straight line direction shown in FIG. 20 a .
  • the extending direction may be a non-straight line direction shown in FIG. 20 b .
  • the non-straight line direction includes a polygonal line segment direction, an arc direction, an irregular direction or the like.
  • general directions of the first path segments are consistent. For example, as shown in FIG. 19 , FIG. 20 a , and FIG. 20 b , the self-moving device 1 keeps moving in an upward direction.
  • the first path segment S 1 may include a straight line segment.
  • the first path segment S 1 may include a polygonal line segments, and the node P 1 n includes a turning point of the polygonal line segment.
  • step S 300 the checking whether a moving direction of the self-moving device deviates from the preset movement path includes: providing an angle sensor, for example, a gyroscope, where the angle sensor outputs an angle parameter of a movement of the self-moving device, and determines, according to the angle parameter, whether a current moving direction of the self-moving device is consistent with a preset moving direction, so as to determine whether the moving direction of the self-moving device deviates from the preset movement path.
  • Second manner As shown in FIG.
  • the checking whether the moving direction of the self-moving device 1 deviates from the preset movement path includes: providing a positioning device, outputting a current position Y of the self-moving device 1 , calculating a deviation angle ⁇ of the self-moving device according to a direction X 2 from the current position Y of the self-moving device to a target position P 12 and a direction X 1 of the preset movement path P, and determining, according to whether the deviation angle ⁇ is greater than a preset threshold, whether the moving direction of the self-moving device 1 deviates from the preset movement path.
  • the deviation angle of the self-moving device may be calculated at an interval of a preset time, and it may be determined, according to whether the deviation angle is greater than the preset threshold, whether the moving direction of the self-moving device deviates from the preset movement path.
  • the first manner is preferably used to check whether the moving direction of the self-moving device 1 deviates from the preset movement path, and the direction of the self-moving device 1 is calibrated.
  • the second manner is preferably used to check whether the moving direction of the self-moving device 1 deviates from the preset movement path, so as to enable the self-moving device 1 to deflect in a direction towards the preset path.
  • the preset movement path further includes a second path segment S 2 , the second path segment S 2 connects a movement path of the self-moving device 1 before steering and a movement path of the self-moving device 1 after steering, and the self-moving device 1 steers along the second path segment S 2 .
  • the second path segments S 2 connect two adjacent first path segments S 1 extend in opposite directions, to enable the self-moving device 1 to steer along the second path segment S 2 .
  • the second path segment S 2 is located near an edge position of a working region of the self-moving device 1 .
  • the self-moving device 1 moves along the second path segment S 2 at the edge position of the working region.
  • FIG. 21 a and FIG. 21 b are enlarged views of the second path segment S 2 .
  • Several nodes P 2 n are set in the second path segment S 2 .
  • the self-moving device 1 sequentially uses the several nodes P 2 n on the second path segments S 2 as the target point to move along the second path segment S 2 .
  • the second path segment S 2 includes an arc segment.
  • the self-moving device 1 moves along the arc-shaped second path segment S 2 .
  • a conventional autonomous lawn mower usually makes a U turn.
  • an autonomous lawn mower makes an arc turn when approaching an edge of the working region and moves along the arc-shaped second path segment S 2 .
  • a right angle is adjusted to be a plurality of coverage points P 2 n, so that a coverage ratio for an edge of the working region can be improved, thereby improving a working effect.
  • the second path segment S 2 includes an irregular path segment.
  • a region between the movement path before steering and the movement path after steering is referred to as a middle region N.
  • the irregular path segment includes a middle segment S 2 n located inside the middle region N and an extended segment S 2 m located outside the middle region N.
  • the second path segment S 2 includes a starting point P 21 and an end point P 2 x.
  • the extended segment S 2 m is a path segment beyond a region between the starting point P 21 and the end point P 2 x of the second path segment.
  • the second path segment S 2 is located near the edge position of the working region of the self-moving device 1 .
  • the self-moving device 1 moves along the second path segment S 2 at the edge position of the working region.
  • the self-moving device 1 at least partially covers an edge region that is not covered when the self-moving device 1 moves along an adjacent second path segment. For example, as shown in FIG.
  • the self-moving device 1 when moving along the extended segment S 2 m of the second path segment S 2 , the self-moving device 1 at least partially covers an edge region M that is not covered when the self-moving device 1 moves along an adjacent second path segment S 2 ′, so that as the self-moving device 1 moves along a next second path segment S 2 , an uncut region from a previous second path segment S 2 ′ is filled, thereby leaving as few as possible uncut regions in an entire cutting process and improving a coverage ratio for an edge of the working region.
  • the preset movement path includes parallel reciprocating paths
  • the first path segment S 1 is a parallel path
  • the second path segment S 2 connects parallel paths among the parallel reciprocating paths.
  • the preset movement path is not limited to parallel reciprocating paths, and further includes non-parallel reciprocating paths.
  • the first path segment S 1 shown in FIG. 20 b is a non-straight line path
  • several first path segments S 1 constitute several irregular reciprocating paths
  • the second path segments S 2 connect the irregular reciprocating paths.
  • the first path segment S 1 is a straight line path
  • the several first path segments S 1 may constitute several non-parallel reciprocating paths
  • the second path segments S 2 connect the non-parallel reciprocating paths.
  • Embodiments of the present invention further provides a storage medium, storing computer instructions, where when the computer instructions are invoked, the foregoing moving method of a self-moving device 1 is performed.
  • Embodiments of the present invention further provides a server, including a memory and a processor, where the memory stores computer readable instructions, and the processor invokes the computer readable instructions and performs the foregoing moving method of a self-moving device 1 .
  • Embodiments of the present invention further provide a self-moving device 1 .
  • the self-moving device 1 moves and works within a defined working region.
  • the self-moving device 1 includes a preset module 20 and a control module 30 .
  • the preset module 20 is configured to preset a preset movement path of the self-moving device 1 , the preset movement path including several first path segments S 1 , the first path segment S 1 being divided into several sub-path segments Ln, and an end point of the sub-path segment Ln being referred to as a node P 1 n .
  • the preset module 20 is further configured to preset the node, to divide the first path segments S 1 into the several sub-path segments Ln.
  • the control module 30 is configured to: enable the self-moving device 1 to move along the preset movement path, check whether a moving direction of the self-moving device 1 deviates from the preset movement path, and when the moving direction of the self-moving device 1 deviates from the preset movement path, use the node P 1 n as a target point to calibrate the moving direction of the self-moving device, to enable the self-moving device 1 to move along the preset movement path.
  • the control module 30 includes an angle sensor, for example, a gyroscope.
  • the angle sensor outputs an angle parameter of a movement of the self-moving device.
  • the control module 30 determines, according to the angle parameter, whether a current moving direction of the self-moving device 1 is consistent with a preset moving direction, so as to determine whether the moving direction of the self-moving device 1 deviates from the preset movement path.
  • the control module 30 further includes a calculation unit 38 and a determining unit 36 .
  • the calculation unit 38 is configured to calculate a deviation angle of the self-moving device 1 according to a direction from a current position of the self-moving device 1 to a target position and a direction of the preset movement path.
  • the determining unit 36 is configured to determine, according to whether the deviation angle is greater than the preset threshold, whether the moving direction of the self-moving device 1 deviates from the preset movement path.
  • the calculation unit 38 is configured to calculate the deviation angle of the self-moving device 1 at an interval of a preset time, and the determining unit 36 is configured to determine, according to whether the deviation angle is greater than the preset threshold, whether the moving direction of the self-moving device 1 deviates from the preset movement path.
  • the control module 30 further includes an update unit 34 .
  • the update unit 34 is configured to set and/or update the node as the self-moving device 1 moves along the preset movement path. When the self-moving device 1 arrives at the node P 1 n , the control module 30 further uses a next node in the moving direction as the target point to determine the moving direction of the self-moving device 1 .
  • An autonomous working system such as an autonomous lawn mower system can autonomously complete a lawn maintenance task or the like, and becomes increasingly popular among consumers.
  • a self-moving device such as an autonomous lawn mower is restricted to move inside a working region.
  • a safety problem may occur.
  • an obstacle may exist in the working region.
  • the obstacle includes a pit, a flowering shrub, and the like.
  • the autonomous lawn mower should avoid the obstacle in the working region during working to prevent accidents such as falling or trapping.
  • the recognizing the working region includes recognizing a boundary of the working region and the obstacle in the working region.
  • a boundary line is arranged along a boundary of the working region, and a boundary line may be arranged along a periphery of an obstacle.
  • a boundary line transmits an electrical signal to generate an electromagnetic field.
  • a sensor on the autonomous lawn mower detects an electromagnetic field signal to determine whether the autonomous lawn mower is located inside or outside a region defined by a boundary line.
  • Such a method requires complex arrangement of a boundary line and adversely affects the look of a lawn.
  • a method for creating a map of a working region may be used.
  • position coordinates of a boundary, an obstacle, and the like of a working region are recorded, a coordinate system is established, and a map of the working region is generated.
  • a position of the autonomous lawn mower on the map is observed to determine whether the autonomous lawn mower is inside a safe working region.
  • An autonomous working system using this method needs to have a navigation function to enable an autonomous lawn mower to accurately acquire the position of the autonomous lawn mower during working.
  • One method for implementing high precision navigation is to use a DGPS module to implement navigation.
  • the DGPS module includes a base station and a mobile station. Therefore, another technical problem in using this method is how to enable the base station and the mobile station to reliably and efficiently provide navigation data to the autonomous working system.
  • Some regions with weak satellite navigation signals may exist in a working region. When a lawn mower moves in these regions, navigation precision may be affected, and a navigation effect of the lawn mower is affected accordingly.
  • an inertial navigation system may be used to help with the navigation precision of the machine.
  • errors in inertial navigation accumulate.
  • the accumulated error in inertial navigation may be corrected by using positioning coordinates from a satellite navigation system after the inertial navigation system has worked for a period of time, thereby ensuring navigation precision of the self-moving device in the shaded region.
  • duration during which the machine remains in the shaded region to work may further be shortened to reduce a navigation error.
  • duration during which satellite navigation signals are weak is shortened, so that duration during which the machine can be accurately located is extended.
  • the accumulated error in inertial navigation is further reduced.
  • satellite navigation may further frequently correct the errors in inertial navigation. Therefore, working precision of the machine in the working region can be greatly improved.
  • embodiments of the present invention provide a working method of a self-moving device.
  • the method includes: S 10 . obtaining a shaded region in a working region; S 20 . recognizing information about features of the shaded region; S 30 . determining, according to the features of the shaded region, a direction in which a self-moving device enters the shaded region; and S 40 . enabling the self-moving device to enter the shaded region in the direction.
  • an entry direction into the shaded region is selected according to the features of the shaded region, so that duration during which a machine remains in the shaded region can be reduced, thereby improving navigation positioning precision of the machine; or, to ensure positioning precision, the machine goes deeper into the shaded region and covers more shaded regions when duration during which the machine remains in the shaded region is limited.
  • the recognizing information about features of the shaded region includes: recognizing a geometric feature of the shaded region, so that a longitudinal axis may be defined after the geometric shape of the shaded region is obtained.
  • the shaded region has an approximately regular shape, for example, an approximately rectangular shape.
  • the longitudinal axis is parallel to a long side direction of the rectangle.
  • the shaded region has an approximately elliptical shape.
  • the longitudinal axis is a major axis of an ellipse.
  • the shaded region has an irregular shape.
  • a mathematical method known in the industry may be used to approximate the irregular shape into a regular shape for processing.
  • another method may be used to determine the longitudinal axis of the shaded region. Subsequent steps are then performed based on the determined longitudinal axis.
  • the entry direction may be a direction approximately perpendicular to the longitudinal axis of the shaded region.
  • the shaded region includes a first edge located on a side of the longitudinal axis of the shaded region, and the entry direction is an approximately normal direction of the first edge.
  • the shaded region includes a first edge and a second edge that are respectively located on two sides of the longitudinal axis of the shaded region, and the entry direction is a direction in which a distance between the first edge and the second edge is the shortest.
  • the shaded region includes a first edge near an obstacle and a second edge far away from the obstacle, and the entry direction includes an approximately normal direction in the first edge or the second edge, or the entry direction is a direction in which a distance between the first edge and the second edge is the shortest.
  • the self-moving device travels in the direction approximately perpendicular to the longitudinal axis of the shaded region, or an approximately normal direction in the first edge or the second edge, or a direction in which a distance between the first edge and the second edge is the shortest. Therefore, it may be understood that a travel distance in the shaded region in the direction is shorter than those in other directions, so that an accumulated error is relatively small, and positioning is more accurate.
  • the approximately perpendicular/approximately normal direction should be construed relatively flexibly.
  • the direction is between the vertical direction/normal direction minus 30° and the vertical direction/normal direction plus 30°.
  • the direction is between the vertical direction/normal direction minus 20° and the vertical direction/normal direction plus 20°, the vertical direction/normal direction minus 15° and the vertical direction/normal direction plus 15°, the vertical direction/normal direction minus 10° and the vertical direction/normal direction plus 10°, the vertical direction/normal direction minus 5° and the vertical direction/normal direction plus 5° or the vertical direction/normal direction minus 3° and the vertical direction/normal direction plus 3°.
  • the longitudinal axis is the hypotenuse 64 of a triangular shaded region 60 .
  • the lawn mower 1 may enter, in a direction approximately perpendicular to the hypotenuse 64 , the shaded region 60 formed by an obstacle 50 to cut grass, and steer when meeting an edge of the shaded region 60 , so that the lawn mower 1 exits the shaded region 60 in a direction opposite to the entry direction.
  • the approximately perpendicular direction includes a direction that deviates from a direction perpendicular to the hypotenuse 64 by an angle to the left or right.
  • the lawn mower 1 may enter, in the foregoing direction (the direction shown by an arrow in the figure), the shaded region 60 formed by the obstacle 50 to cut grass, and may exit the shaded region 60 in a direction shown by the arrow after cutting grass. After repeated entries and exits, a grass cutting task in the shaded region 60 may be completed.
  • the foregoing principle of selecting a direction may enable the lawn mower 1 to remain in the shaded region 60 for a time as short as possible, thereby preventing weak satellite navigation signals from affecting positioning precision of the lawn mower 1 . It should be noted that the lawn mower 1 may enter the shaded region 60 in a same direction or different directions.
  • the direction in which the lawn mower enters the shaded region 60 may be determined according to the geometric features of the shaded region 60 .
  • the lawn mower 1 may keep entering the same shaded region 60 in a same direction to prevent a user from having an impression that the lawn mower 1 works in disorderly fashion, thereby improving user experience.
  • an edge of the shaded region 60 may be divided into a first edge 62 and a second edge 64 that are respectively located on two sides of the longitudinal axis.
  • the shaded region 60 is formed by the first edge 62 and the second edge 64 .
  • the lawn mower 1 may enter the shaded region 60 in a direction approximately perpendicular to the longitudinal axis X or in an approximately normal direction of the first edge 62 or the second edge 64 . It may be understood that the direction is also a direction in which a distance between the first edge and the second edge is the shortest.
  • the lawn mower 1 may enter the shaded region 60 in a direction in which a distance between the first edge 62 and the second edge 64 is the shortest.
  • the lawn mower 1 may select any direction to enter the shaded region 60 .
  • a path from the second edge 64 to the first edge 62 is the shortest in a direction indicated by a solid line arrow.
  • the shortest distance is not limited to an absolute shortest distance, but instead is an optimal path from the second edge 64 to the first edge 62 .
  • the shortest distance may also be understood as a smallest average value of movement distances of the lawn mower 1 from the first edge 62 to the second edge 64 and movement distances of the lawn mower 1 from the second edge 64 to the first edge 62 when the lawn mower 1 uses paths parallel to the entry direction to complete cutting in the shaded region 60 .
  • the shaded region in this embodiment is determined according to the strength of a DGPS signal received by the self-moving device/mobile station.
  • a quality threshold of a received DGPS signal may be preset. When a quality parameter of a DGPS signal received by the self-moving device does not satisfy a preset DGPS signal quality threshold, it is considered that the region is the shaded region.
  • the DGPS technology may be a real-time kinematic (RTK) technology, that is, a carrier-phase differential technology.
  • RTK real-time kinematic
  • the mobile station may perform computation by using a carrier-phase algorithm.
  • the DGPS technology may be alternatively a continuously operating satellite reference station (CORS) technology.
  • CORS continuously operating satellite reference station
  • the shaded region 60 in the working region is caused by the presence of a building or another obstacle, and consequently regions with weakened signals are formed on one or more sides of the building or obstacle.
  • the shape of the shaded region 60 may be a shape extending outward from a lower edge of the building or obstacle.
  • the first edge 62 may be an intersecting line between the building or obstacle and the working region
  • the second edge 64 may be formed by connecting points that are located near the building or the obstacle and from which the quality parameter of the DGPS signal starts to satisfy a preset threshold (the principle of the preset threshold is, for example, whether the strength of a satellite navigation signal can support precise navigation).
  • the first edge 62 and the second edge 64 may form a closed shape.
  • the first edge and the second edge may form a semicircular closed structure shown in FIG. 25 b .
  • the machine may enter the shaded region in an approximately normal direction of the first edge 62 or the second edge 64 or in a direction (the directions shown by the arrows in FIG. 25 a and FIG. 25 b ) in which the distance between the first edge 62 and the second edge 64 is the shortest.
  • the walking path of the self-moving device may be set by a program.
  • the program may simulate various walking manners of the self-moving device, and determine the length of a path through the shaded region in a walking manner, so as to select a walking manner in which the self-moving device has a shortest walking path in the shaded region.
  • walking directions of the self-moving device in a region may be consistent and continuous. To be specific, a direction is not adjusted according to minor changes in a shape of a boundary, so as to prevent the user from having an impression that the self-moving device is “unintelligent”.
  • the method may further include: presetting a quality threshold of a DGPS signal in the self-moving device; and the detecting a shaded region in a working region includes: the self-moving device determines, according to that an obtained DGPS signal does not satisfy a quality requirement, that the self-moving device is located in the shaded region.
  • the method may further include: presetting a quality threshold of a DGPS signal in the self-moving device, and the detecting a shaded region in a working region S 10 further includes: loading a map of the working region; and marking an initial shaded region on the map, updating the initial shaded region according to that a DGPS signal detected by the self-moving device does not satisfy the quality threshold, and using the updated shaded region as the shaded region.
  • the shaded region may be determined by comparing the strength of the detected DGPS signal with a preset quality threshold.
  • the threshold may be determined according to the principle that whether a satellite navigation signal can support precise positioning.
  • a DGPS signal when the machine can be precisely located, even if a DGPS signal is somewhat weakened, it is still not necessary to determine the region as a shaded region.
  • a region with navigation signals weakened by blockage of a building or an obstacle may be partially marked as a shaded region, so as to prevent inappropriate division of a shaded region from increasing the work load of the machine.
  • the method further includes: presetting a quality threshold of a DGPS signal in the self-moving device.
  • the enabling the self-moving device to enter the shaded region in the foregoing direction includes: when the DGPS signal obtained by the self-moving device does not satisfy the quality threshold, enabling, by the self-moving device, an inertial navigation signal.
  • the satellite navigation signal is regained.
  • switching between an inertial navigation signal and a satellite navigation signal is implemented according to the strength of signals, so that accurate positioning of the machine can be ensured.
  • the enabling the self-moving device to enter the shaded region in the foregoing direction includes: enabling both satellite navigation and inertial navigation; and using a weighted value of a satellite navigation result and an inertial navigation result as a navigation result.
  • an error in inertial navigation gradually increases as time elapses, resulting in decreasing navigation precision.
  • inertial navigation and satellite navigation are combined in a complementary manner to locate a machine in the shaded region more precisely.
  • a first weight for the satellite navigation result and a second weight for the inertial navigation result may further be dynamically adjusted according to a change in the strength of a DGPS signal.
  • the first weight is decreased and the second weight is increased when the DGPS signal weakens.
  • the first weight is increased and the second weight is decreased when the DGPS signal improves.
  • weights of the inertial navigation signal and the satellite navigation signal may be determined according to the strength of the DGPS signal. In extreme cases, that is, when the satellite navigation signal is very strong, the weight of the inertial navigation signal may be zero. In other words, the satellite navigation signal alone is used as a basis for navigation positioning. Similarly, when the satellite navigation signal is very weak, the weight of the satellite navigation signal may be zero.
  • the inertial navigation signal alone is used as a basis for navigation positioning.
  • the weight of the satellite navigation signal and the weight of the inertial navigation signal may be separately functions of signal strength.
  • the first weight and the second weight may be functions of a distance by which the self-moving device enters the shaded region.
  • the method may further include: correcting an inertial navigation signal by using a DGPS signal. Specifically, each time after the machine exits the shaded region, the inertial navigation signal may be corrected by using the satellite navigation signal, so as to ensure navigation precision of inertial navigation after the machine enters the shaded region.
  • another positioning device may be used in place of the foregoing satellite positioning device, is referred to as a first positioning device, and outputs a first positioning signal.
  • the first positioning device may be alternatively a UWB positioning device, an ultrasonic beacon positioning device or the like.
  • another positioning device may be used in place of the foregoing inertial navigation device, is referred to as a second positioning device, and outputs a second positioning signal.
  • the second positioning device may be alternatively an image acquisition device, a capacitive lawn detection device or the like.
  • the machine 10 includes a detection module 110 and a control module 120 .
  • the detection module 110 is configured to obtain a shaded region in a working region.
  • the control module 120 is configured to: recognize information about a features of the shaded region, where the features include a geometric feature of the shaded region; determine, according to the geometric feature of the shaded regions, a direction in which the self-moving device enters the shaded region; and enable the self-moving device to enter the shaded region in an entry direction.
  • the shaded region is marked in a working region, and a direction in which a machine enters the shaded region is selected according to the features of the shaded region, so that duration during which the machine remains in the shaded region can be reduced, thereby improving positioning precision.
  • the entry direction may be a direction approximately perpendicular to a longitudinal axis of the shaded region.
  • the shaded region includes a first edge located on a side of the longitudinal axis of the shaded region, and the entry direction is an approximately normal direction of the first edge.
  • the shaded region includes a first edge and a second edge that are respectively located on two sides of the longitudinal axis of the shaded region, and the entry direction is a direction in which a distance between the first edge and the second edge is the shortest.
  • the shaded region includes a first edge near an obstacle and a second edge far away from the obstacle, and the entry direction includes an approximately normal direction in the first edge or the second edge, or the entry direction is a direction in which a distance between the first edge and the second edge is the shortest.
  • the self-moving device travels in the direction approximately perpendicular to the longitudinal axis of the shaded region, or an approximately normal direction in the first edge or the second edge, or a direction in which a distance between the first edge and the second edge is the shortest. Therefore, it may be understood that a travel distance in the shaded region in the direction is shorter than those in other directions, so that an accumulated error is relatively small, and positioning is more accurate.
  • the approximately perpendicular/approximately normal direction should be construed relatively flexibly.
  • the direction is between the vertical direction/normal direction minus 30° and the vertical direction/normal direction plus 30°.
  • the direction is between the vertical direction/normal direction minus 20° and the vertical direction/normal direction plus 20°, the vertical direction/normal direction minus 15° and the vertical direction/normal direction plus 15°, the vertical direction/normal direction minus 10° and the vertical direction/normal direction plus 10°, the vertical direction/normal direction minus 5° and the vertical direction/normal direction plus 5° or the vertical direction/normal direction minus 3° and the vertical direction/normal direction plus 3°.
  • the control module 120 includes a recognition unit 121 and an enable unit 122 .
  • the recognition unit 121 is configured to recognize a geometric shape of the shaded region.
  • the enable unit 122 is configured to enable the self-moving device to enter the shaded region in the direction approximately perpendicular to the longitudinal axis of the shaded region or an approximately normal direction in the first edge or the second edge or a direction in which a distance between the first edge and the second edge of the shaded region is the shortest.
  • the detection module may obtain the shaded region. For example, the strength of a satellite navigation signal is detected to determine the shaded region.
  • a quality threshold for a received DGPS signal may be set in the control module, and the machine is enabled to walk near, for example, a building (or a DGPS mobile station is manually detached and carried to move near positions at which signal strength is close to the quality threshold, points at which the signal strength does not satisfy the quality threshold are recorded, and these points are subsequently connected to obtain a shape of the shaded region). Therefore, points at which a quality parameter of the DGPS signal is less than or equal to a preset DGPS signal quality threshold are marked on the map, and after sufficient feature signal points are chosen, these points in a boundary may be connected to obtain the shaded region.
  • a robot determines, according to strength of a satellite positioning signal received by the robot, whether the robot is currently in the shaded region, so as to make marks on a map of the working region to update the shaded region.
  • control module 120 may control, by combining a current position and attitude information of the machine and shape and position information of the shaded region, the machine to adjust an attitude when the machine arrives at an outer edge of the shaded region, to enable the machine to enter the shaded region in a specific direction.
  • a general walking direction of the machine in the region is adjusted according to the shape of the shaded region in the region, to make the walking of the machine continuous.
  • the entry direction into the shaded region may be a direction perpendicular to the hypotenuse.
  • the entry direction into the shaded region may be a direction perpendicular to the diameter of the semicircular.
  • the entry direction may be a direction perpendicular to the long side of the rectangle.
  • the shape of the shaded region is not limited to the foregoing shapes, and may be any another shape.
  • the detection module further includes a loading unit 111 , a marking unit 112 , and an update unit 113 .
  • the loading unit 111 is configured to load a map of the working region.
  • the marking unit 112 is configured to mark an initial shaded region on the map.
  • the update unit 113 updates the initial shaded region according to a relationship between the quality parameter of the DGPS signal detected by the self-moving device and the preset DGPS signal quality threshold.
  • the loading unit 111 may first load the map of the working region, and initially mark a possible shaded region. For example, initial marks may be approximately determined by combining a building, an obstacle, and the like in the working region.
  • the machine may be enabled to travel in each initially marked shaded region, and signal feature points are further marked according to a relationship between navigation signal strength at each point and the preset DGPS signal quality threshold. As discussed above, these signal points may be connected to recognize a shaded region.
  • the update unit may replace the initially marked shaded region with an actually measured shaded region.
  • the detection module 110 further includes a preset unit 114 and an obtaining unit 115 .
  • the preset unit 114 is configured to preset a quality threshold of a received DGPS signal.
  • the obtaining unit 115 obtains a quality parameter of the DGPS signal.
  • the detection module is configured to recognize the shaded region according to a relationship between the obtained quality parameter of the DGPS signal and the quality threshold. When the obtained quality parameter of the DGPS signal does not satisfy the quality threshold, it is determined that the self-moving device is located in the shaded region.
  • the detection module may detect, in the initial shaded region, feature points whose signal strength does not satisfy the quality threshold, and connect these feature points to obtain the shape of the shaded region.
  • the machine provided in this embodiment of the present invention can rapidly recognize the shaded region, so as to provide a desirable basis for the machine to select a direction to enter the shaded region.
  • control module 120 further includes a switching unit.
  • the switching unit is configured to: switch to an inertial navigation signal when the quality parameter of the DGPS signal obtained by the self-moving device does not satisfy the preset DGPS signal quality threshold; and switch to a satellite navigation signal when the quality parameter of the DGPS signal satisfies the preset DGPS signal quality threshold. That is, the control module 120 of the machine may have an autonomous switching mechanism. When the detection module 110 detects that the satellite navigation signal is weak, the switching unit autonomously switches to the inertial navigation signal, so as to prevent positioning precision of the self-moving device from decreasing.
  • the inertial navigation signal may be used as a supplement to the satellite navigation signal.
  • the switching unit 123 may switch from the inertial navigation signal to the DGPS signal in time, thereby preventing decreased positioning precision caused by the inertial navigation signal.
  • the control module may further include a timing unit 123 and a correction unit 124 .
  • the timing unit 123 may be configured to measure duration during which an inertial navigation signal is separately used (that is, duration during which the machine is in the shaded region). After the duration exceeds a length, when the machine regains the satellite navigation signal, the correction unit 124 performs error correction on inertial navigation in time.
  • the satellite navigation signal may be used to perform correction on inertial navigation each time after inertial navigation is used and the satellite navigation signal is regained, thereby improving navigation positioning precision of the machine.
  • control module may further include a calculation unit 125 . Both the satellite navigation and the inertial navigation are enabled.
  • the calculation unit 125 is configured to: perform weighting processing on a satellite navigation result and an inertial navigation result, and use a result after weighting processing as a navigation result.
  • the calculation unit 125 is further configured to dynamically adjust a first weight for the satellite navigation result and a second weight for the inertial navigation result. For example, the calculation unit 125 decreases the first weight and increases the second weight when the DGPS signal weakens, and the calculation unit 125 increases the first weight and decreases the second weight when the DGPS signal improves.
  • the first weight and the second weight may be separately functions of navigation signal strength. Because navigation signal strength is associated with a distance by which the machine enters the shaded region, the first weight and the second weight may also separately be functions of the distance by which the machine enters the shaded region. For details, refer to the content in the method part.
  • Still another aspect of the present embodiment provides a memory, storing computer readable instructions, where when the computer readable instructions are invoked, the foregoing method is performed.
  • Yet another aspect of the present embodiment provides a server, including a processor and a memory, where the memory stores computer readable instructions, and the processor is configured to: invoke the computer readable instructions, and perform the foregoing method.

Landscapes

  • Engineering & Computer Science (AREA)
  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Databases & Information Systems (AREA)
  • Electromagnetism (AREA)
  • Environmental Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Game Theory and Decision Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Medical Informatics (AREA)
  • Evolutionary Computation (AREA)
  • Signal Processing (AREA)
  • Tourism & Hospitality (AREA)
  • Quality & Reliability (AREA)
  • Optics & Photonics (AREA)
  • Marketing (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Development Economics (AREA)
  • Manufacturing & Machinery (AREA)
  • General Business, Economics & Management (AREA)
  • Operations Research (AREA)
  • Acoustics & Sound (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)
  • Navigation (AREA)
  • Position Fixing By Use Of Radio Waves (AREA)
US16/438,829 2016-12-15 2019-06-12 Dividing method for working region of self-moving device, dividing apparatus, and electronic device Abandoned US20190346848A1 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
CN201611157425.9 2016-12-15
CN201611157425 2016-12-15
PCT/CN2017/116686 WO2018108180A1 (fr) 2016-12-15 2017-12-15 Procédé et dispositif de partitionnement d'une zone de travail d'un appareil automoteur, et dispositif électronique

Related Parent Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2017/116686 Continuation WO2018108180A1 (fr) 2016-12-15 2017-12-15 Procédé et dispositif de partitionnement d'une zone de travail d'un appareil automoteur, et dispositif électronique

Publications (1)

Publication Number Publication Date
US20190346848A1 true US20190346848A1 (en) 2019-11-14

Family

ID=62557996

Family Applications (2)

Application Number Title Priority Date Filing Date
US16/438,829 Abandoned US20190346848A1 (en) 2016-12-15 2019-06-12 Dividing method for working region of self-moving device, dividing apparatus, and electronic device
US16/442,442 Active 2038-06-04 US11442448B2 (en) 2016-12-15 2019-06-14 Self-moving device, method for providing alarm about positioning fault in same, self-moving device, and automatic working system

Family Applications After (1)

Application Number Title Priority Date Filing Date
US16/442,442 Active 2038-06-04 US11442448B2 (en) 2016-12-15 2019-06-14 Self-moving device, method for providing alarm about positioning fault in same, self-moving device, and automatic working system

Country Status (4)

Country Link
US (2) US20190346848A1 (fr)
EP (3) EP3557355B1 (fr)
CN (12) CN108226965B (fr)
WO (2) WO2018108180A1 (fr)

Cited By (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109634285A (zh) * 2019-01-14 2019-04-16 深圳市傲基电子商务股份有限公司 割草机器人及其控制方法
US20200275604A1 (en) * 2017-11-16 2020-09-03 Nanjing Chervon Industry Co., Ltd. Intelligent mowing system
US20210123742A1 (en) * 2019-10-29 2021-04-29 Ursrobot Inc. Method of movement tracking, processing module and lawn mower
US20210165416A1 (en) * 2018-04-06 2021-06-03 Lg Electronics Inc. Moving robot and control method of moving robot
CN113359766A (zh) * 2021-07-05 2021-09-07 杭州萤石软件有限公司 一种移动机器人的移动控制方法、以及移动机器人
CN113568404A (zh) * 2021-07-08 2021-10-29 深圳拓邦股份有限公司 一种割草机器人割草模式自适应方法及割草机器人
WO2021247790A1 (fr) * 2020-06-04 2021-12-09 Firefly Automatix, Inc. Exécution de détection d'objet à profil bas sur une faucheuse
CN114166247A (zh) * 2021-11-25 2022-03-11 中船航海科技有限责任公司 基于海流数值预报信息的航线评估系统、方法及存储介质
US20220090937A1 (en) * 2020-09-24 2022-03-24 Ford Global Technologies, Llc Mapping of a drivable area for vehicle navigation
US11340073B2 (en) * 2017-11-13 2022-05-24 Living Map Limited Positioning correction
US20220159899A1 (en) * 2019-01-29 2022-05-26 Yanmar Power Technology Co., Ltd. Autonomous travel system
US20220269283A1 (en) * 2021-02-19 2022-08-25 Joy Global Surface Mining Inc System and method for operating a mining machine with respect to a geofence using nested operation zones
US20220269253A1 (en) * 2021-02-19 2022-08-25 Joy Global Surface Mining Inc System and method for operating a mining machine with respect to a geofence using a dynamic operation zone
US20220281337A1 (en) * 2019-05-03 2022-09-08 Prodrive Technologies Innovation Services B.V. System and method for positioning a mobile assembly
US20220305658A1 (en) * 2021-03-29 2022-09-29 Husqvarna Ab Operation for a Robotic Work Tool
US20220342426A1 (en) * 2019-09-29 2022-10-27 Posltec Power Tools (Suzhou) Co., Ltd. Map building method, self-moving device, and automatic working system
JP7176652B1 (ja) * 2022-02-02 2022-11-22 トヨタ自動車株式会社 草刈機
EP4179862A1 (fr) * 2021-11-10 2023-05-17 Techtronic Cordless GP Tondeuses à gazon robotiques
US11672200B2 (en) 2019-11-27 2023-06-13 Andreas Stihl Ag & Co. Kg Method for determining a robot position of an autonomous mobile green area maintenance robot on an area to be maintained, method for operating an autonomous mobile green area maintenance robot on an area to be maintained, and green area maintenance system
US11803187B2 (en) * 2020-03-27 2023-10-31 Honda Motor Co., Ltd. Autonomous work system, autonomous work setting method, and storage medium
SE2250703A1 (en) * 2022-06-13 2023-12-14 Husqvarna Ab Improved navigation for a robotic work tool system
CN117249834A (zh) * 2023-11-17 2023-12-19 未岚大陆(北京)科技有限公司 路径规划方法、装置、设备及存储介质
US20240004393A1 (en) * 2022-07-04 2024-01-04 Willand (Beijing) Technology Co., Ltd. Method for generating transfer path, electronic device, and computer storage medium
EP3945769B1 (fr) * 2020-05-28 2024-03-13 Yamabiko Europe Robot mobile et méthode de limitation spatiale d'un déplacement d'un robot mobile
WO2024059134A1 (fr) * 2022-09-14 2024-03-21 The Toro Company Définition de limite pour région de travail de machine autonome
CN117824665A (zh) * 2024-03-05 2024-04-05 安徽领云物联科技有限公司 一种基于gis的巡检机器人路线规划系统

Families Citing this family (131)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6687511B2 (ja) * 2016-12-28 2020-04-22 本田技研工業株式会社 制御装置、監視装置及び制御用プログラム
SE540576C2 (en) * 2017-04-25 2018-10-02 Husqvarna Ab Compensating for stray capacitances for a robotic lawnmower
US11448775B2 (en) 2017-05-26 2022-09-20 Positec Power Tools (Suzhou) Co., Ltd Positioning apparatus and method and self-moving device
DE102017220023A1 (de) * 2017-11-10 2019-05-16 Continental Teves Ag & Co. Ohg Fahrzeug-zu-X-Kommunikationssystem
AU2018369424B2 (en) * 2017-11-20 2021-12-23 The Toro Company System and method for operating an autonomous robotic working machine within a travelling containment zone
JP6877330B2 (ja) 2017-12-27 2021-05-26 株式会社クボタ 自律走行型作業機のための作業領域決定システム、自律走行型作業機、および、作業領域決定プログラム
JP6634100B2 (ja) * 2018-01-12 2020-01-22 本田技研工業株式会社 走行軌道決定装置及び自動運転装置
CN109116398A (zh) * 2018-07-10 2019-01-01 北京木业邦科技有限公司 作业数据获取方法、装置、电子设备及存储介质
CN110850858B (zh) * 2018-07-27 2024-04-26 宝时得科技（中国）有限公司 自移动设备和自移动设备的工作方法
KR102291884B1 (ko) 2018-08-03 2021-08-20 엘지전자 주식회사 이동 로봇 및 그 제어방법
KR102242714B1 (ko) 2018-08-03 2021-04-22 엘지전자 주식회사 이동 로봇 및 그 제어방법, 이동 로봇 시스템
KR102242713B1 (ko) 2018-08-03 2021-04-22 엘지전자 주식회사 이동 로봇 및 그 제어방법, 및 단말기
KR102266713B1 (ko) * 2018-08-03 2021-06-21 엘지전자 주식회사 이동 로봇, 이동 로봇 시스템 및 이동 로봇 시스템의 제어 방법
KR102238352B1 (ko) 2018-08-05 2021-04-09 엘지전자 주식회사 스테이션 장치 및 이동 로봇 시스템
US11960278B2 (en) 2018-08-05 2024-04-16 Lg Electronics Inc. Moving robot and controlling method thereof
CN110160541B (zh) 2018-08-06 2022-02-22 腾讯大地通途（北京）科技有限公司 运动轨迹的重构方法和装置、存储介质、电子装置
CN109240284B (zh) * 2018-08-10 2021-06-22 江苏大学 一种无人驾驶农机的自主路径规划方法及装置
CN110888420A (zh) * 2018-08-17 2020-03-17 苏州宝时得电动工具有限公司 行走校正方法、智能移动设备、电子设备和存储介质
CN109085835A (zh) * 2018-08-28 2018-12-25 扬州方棱机械有限公司 一种生成割草工作区域虚拟边界的方法
CN109211239B (zh) * 2018-08-30 2022-09-16 中体彩科技发展有限公司 一种关联产品定位系统
CN109032147A (zh) * 2018-09-10 2018-12-18 扬州方棱机械有限公司 基于卫星定位信号生成割草机器人虚拟边界的方法
CN108983792A (zh) * 2018-09-10 2018-12-11 扬州方棱机械有限公司 基于测距传感器生成割草机器人虚拟边界的方法
CN109062225A (zh) * 2018-09-10 2018-12-21 扬州方棱机械有限公司 基于数字地图的割草机器人及其生成虚拟边界的方法
CN109389656A (zh) * 2018-10-23 2019-02-26 泰华智慧产业集团股份有限公司 在移动端地图上绘制区域的方法及系统
CN111158356B (zh) * 2018-11-08 2021-08-10 苏州宝时得电动工具有限公司 自动割草机及其控制方法
CN111240309A (zh) * 2018-11-12 2020-06-05 北京奇虎科技有限公司 扫地机器人执行清扫工作的方法、装置及电子设备
CN109459777B (zh) * 2018-11-21 2021-08-17 北京木业邦科技有限公司 一种机器人、机器人定位方法及其存储介质
CN111308994B (zh) * 2018-11-23 2023-07-25 苏州科瓴精密机械科技有限公司 机器人控制方法以及机器人系统
CN111338332B (zh) * 2018-11-30 2022-03-18 宝时得科技（中国）有限公司 自动行走设备、其避障方法及装置
WO2020120601A1 (fr) * 2018-12-12 2020-06-18 Nordluft Automation Ab Commande du déplacement d'un dispositif autonome
CN111321695B (zh) * 2018-12-13 2021-10-15 苏州宝时得电动工具有限公司 智能扫雪机抛雪筒自动转向的控制方法及智能扫雪机
CN111435247A (zh) * 2018-12-26 2020-07-21 沈阳新松机器人自动化股份有限公司 一种机器人的控制方法、控制系统及清洁机器人
CN109597099B (zh) * 2018-12-26 2022-04-01 上海司南卫星导航技术股份有限公司 判断基准站接收机是否移动的方法、oem板卡及接收机
CN109491397B (zh) * 2019-01-14 2021-07-30 傲基科技股份有限公司 割草机器人及其割草区域划定方法
CN110794821B (zh) * 2019-01-25 2022-05-27 长城汽车股份有限公司 车载控制装置、场端定位装置、车辆控制系统及车辆
CN109752745B (zh) * 2019-01-28 2021-10-26 Oppo广东移动通信有限公司 分体式设备定位方法、装置、分体式设备及存储介质
CN109828565B (zh) * 2019-01-30 2022-04-05 宁波大叶园林设备股份有限公司 一种自移动设备回归路径的控制方法
CN109782770B (zh) * 2019-02-02 2022-06-21 南京航空航天大学 一种割草机自主充电的方法
CN111580096B (zh) * 2019-02-18 2022-09-30 杭州海康威视数字技术股份有限公司 一种防区绘制方法及装置
CN111645727A (zh) * 2019-03-04 2020-09-11 比亚迪股份有限公司 列车及其定位方法和装置
CN109798900A (zh) * 2019-03-08 2019-05-24 珠海格力电器股份有限公司 空气传感器的室内定位方法、装置和空气传感器
CN109870714B (zh) * 2019-03-12 2023-05-16 腾讯科技（深圳）有限公司 传输信息的方法、传输装置、定位服务器及移动终端
US11558846B2 (en) * 2019-03-28 2023-01-17 Qualcomm Incorporated System and methods for support of secure base station almanac data in a wireless network
CN111756124B (zh) * 2019-03-29 2022-04-15 苏州宝时得电动工具有限公司 自动行走设备及其控制方法、无线充电装置及其控制方法
CN109933073B (zh) * 2019-04-01 2020-12-01 珠海市一微半导体有限公司 一种机器人回座代码的自动生成方法
CN110058590A (zh) * 2019-04-08 2019-07-26 浙江亚特电器有限公司 用于智能割草机的碰撞处理方法
IL266185B (en) * 2019-04-23 2022-07-01 Oriient New Media Ltd Route mapping tool in an indoor location
US11212954B2 (en) * 2019-05-08 2022-01-04 Deere & Company Apparatus and methods for field operations based on historical field operation data
CN110347153A (zh) * 2019-06-26 2019-10-18 深圳拓邦股份有限公司 一种边界识别方法、系统及移动机器人
CN112147886A (zh) * 2019-06-27 2020-12-29 深圳拓邦股份有限公司 一种割草机系统边界信号的自适应方法及割草机系统
CN112148813A (zh) * 2019-06-27 2020-12-29 深圳拓邦股份有限公司 一种随机式割草机分区方法及随机式割草机
IT201900010641A1 (it) * 2019-07-02 2021-01-02 Stiga S P A In Breve Anche St S P A Metodo di mappatura di un’area di lavoro per un dispositivo mobile e metodo di funzionamento di tale dispositivo mobile in tale area di lavoro
CN111123325A (zh) * 2019-07-10 2020-05-08 广东星舆科技有限公司 导航方法及导航设备
DE102020003707A1 (de) * 2019-07-15 2021-01-21 Sew-Eurodrive Gmbh & Co Kg Verfahren zum Betreiben eines mobilen Systems und eines Alarm-Gateways als Teilnehmer in einem drahtlosen Netzwerk
CN110389364B (zh) * 2019-07-31 2022-05-10 广州市中海达测绘仪器有限公司 定位方法、装置、计算机设备和存储介质
US11597104B2 (en) * 2019-07-31 2023-03-07 X Development Llc Mobile robot sensor configuration
CN114207542A (zh) * 2019-08-05 2022-03-18 苏州宝时得电动工具有限公司 一种自动工作系统
WO2021042069A1 (fr) 2019-08-29 2021-03-04 Piper Networks, Inc. Systèmes et procédés de localisation de transit améliorée
CN112445221B (zh) * 2019-09-04 2023-11-03 宝时得科技（中国）有限公司 自动工作系统及回归方法
EP4028304A4 (fr) 2019-09-09 2024-04-10 Piper Networks Inc Systèmes et procédés de localisation de transit améliorés
IT201900016934A1 (it) 2019-09-23 2021-03-23 Fabrizio Bernini Robot tagliaerba
CN110764499A (zh) * 2019-09-27 2020-02-07 南京航空航天大学 一种确保割草机直线行走的装置及其方法
CN112578780A (zh) * 2019-09-29 2021-03-30 苏州宝时得电动工具有限公司 自移动设备及其控制方法、自动工作系统
CN112650206A (zh) * 2019-10-10 2021-04-13 苏州宝时得电动工具有限公司 智能割草机行走的控制方法及智能割草机
CN112857368B (zh) * 2019-11-12 2024-04-09 苏州宝时得电动工具有限公司 一种割草机导航方法、装置和割草机
CN112824937B (zh) * 2019-11-20 2024-05-28 苏州宝时得电动工具有限公司 一种路线生成方法、装置和割草机
WO2021114984A1 (fr) * 2019-12-09 2021-06-17 苏州宝时得电动工具有限公司 Procédé et appareil d'envoi de données cartographiques, procédé et appareil d'affichage de données cartographiques, dispositif et support de stockage
CN113064417B (zh) * 2019-12-13 2022-11-15 苏州宝时得电动工具有限公司 自移动设备及其工作方法
US20230115421A1 (en) * 2019-12-13 2023-04-13 Postiec Power Tools (Suzhou) Co.,Ltd. Self-moving device and working method therefor
CN113064413B (zh) * 2019-12-31 2023-04-07 速感科技（北京）有限公司 封闭空间的地图处理方法、装置和可移动设备
CN111152219B (zh) * 2019-12-31 2021-12-17 深圳优地科技有限公司 一种机器人状态的监控方法及机器人状态的监控设备
CN111103886B (zh) * 2020-01-02 2024-05-03 深圳拓邦股份有限公司 通行窄道的识别方法、装置、设备及计算机可读存储介质
SE543944C2 (en) * 2020-03-03 2021-09-28 Husqvarna Ab Robotic work tool system and method for defining a stay-out area within a work area
CN113359695A (zh) * 2020-03-06 2021-09-07 苏州宝时得电动工具有限公司 自移动设备的工作方法和自动工作系统
CN113391337A (zh) * 2020-03-12 2021-09-14 广东博智林机器人有限公司 搬运设备定位系统和方法
SE543954C2 (en) * 2020-03-18 2021-10-05 Husqvarna Ab Robotic work tool system and method comprising a base rtk unit, a mobile rtk unit and an auxiliary rtk unit
CN113495552A (zh) * 2020-03-19 2021-10-12 苏州科瓴精密机械科技有限公司 自动工作系统、自动行走设备及其控制方法及计算机可读存储介质
JP6951494B2 (ja) * 2020-03-26 2021-10-20 日立建機株式会社 作業車両
CN113515113B (zh) * 2020-03-27 2023-08-08 南京苏美达智能技术有限公司 一种自动行走设备的运行控制方法及自动行走设备
CN113448327B (zh) * 2020-03-27 2023-08-15 南京苏美达智能技术有限公司 一种自动行走设备的运行控制方法及自动行走设备
SE2050386A1 (en) * 2020-04-06 2021-10-05 Husqvarna Ab Navigation for a robotic work tool based on a classifier associated with an area
CN113534826B (zh) * 2020-04-15 2024-02-23 苏州宝时得电动工具有限公司 自移动设备的姿态控制方法、装置及存储介质
CN113556679A (zh) * 2020-04-24 2021-10-26 苏州科瓴精密机械科技有限公司 自移动机器人工作区域虚拟边界的生成方法、系统、自移动机器人及可读存储介质
CN111557622B (zh) * 2020-04-30 2021-10-26 深圳拓邦股份有限公司 清扫路径生成方法及装置、计算机装置及存储装置
CN113625701A (zh) * 2020-05-09 2021-11-09 苏州宝时得电动工具有限公司 一种割草机器人路径规划方法及割草机器人
CN212969077U (zh) * 2020-05-26 2021-04-13 纳恩博（北京）科技有限公司 充电桩
SE545728C2 (en) * 2020-06-02 2023-12-19 Husqvarna Ab Method of providing a position estimate of a robotic tool, a robotic tool, and a robotic tool system
CN113740892B (zh) * 2020-06-05 2024-03-01 北京沃东天骏信息技术有限公司 用户的路线引导方法、装置和系统
WO2021262606A1 (fr) * 2020-06-26 2021-12-30 Piper Networks, Inc. Système de positionnement de véhicule à capteurs multiples utilisant un protocole de données partagées
CN113899376B (zh) * 2020-07-06 2023-10-20 苏州宝时得电动工具有限公司 自移动设备地图生成方法、系统和自动工作系统
CN111796598A (zh) * 2020-07-16 2020-10-20 苏州科瓴精密机械科技有限公司 自动行走设备及其控制方法和系统及存储介质
CN114111780A (zh) * 2020-08-26 2022-03-01 深圳市杉川机器人有限公司 一种定位误差校正方法、装置、自移动设备及系统
CN114200916A (zh) * 2020-08-26 2022-03-18 深圳市杉川机器人有限公司 一种自移动设备及回归充电站的方法
CN112099494B (zh) * 2020-09-02 2021-09-07 西安交通大学 一种面向全地形车及其自动检测楼梯与攀爬方法
CN111966109B (zh) * 2020-09-07 2021-08-17 中国南方电网有限责任公司超高压输电公司天生桥局 基于柔性直流换流站阀厅的巡检机器人定位方法及装置
EP3968051A1 (fr) * 2020-09-15 2022-03-16 Infineon Technologies AG Système de guidage pour un robot, station comprenant un tel système de guidage et procédé de guidage d'un robot
CN114339843B (zh) * 2020-09-27 2023-08-15 中国移动通信集团浙江有限公司 一种基于网络覆盖的锚点问题识别方法和装置
EP3979029A1 (fr) 2020-09-30 2022-04-06 Carnegie Robotics, LLC Systèmes et procédés permettant de naviguer dans des environnements avec des objets dynamiques
CN112435477B (zh) * 2020-10-10 2022-05-27 北京无线电计量测试研究所 一种路侧智能停车识别巡检装置及巡检方法
CN114375676B (zh) * 2020-10-16 2023-04-21 南京泉峰科技有限公司 自移动设备及其控制方法和自移动工作系统
CN112486173B (zh) * 2020-12-01 2023-08-08 南京苏美达智能技术有限公司 一种自行走设备作业边界获取方法和自行走设备
CN112651775B (zh) * 2020-12-22 2024-02-27 北京彩智科技有限公司 一种确定地理辐射范围的方法、装置及电子设备
CN112731934B (zh) * 2020-12-23 2023-10-03 南京苏美达智能技术有限公司 基于区域分割的智能割草机快速回充电站的方法
CN112720443A (zh) * 2020-12-23 2021-04-30 中国计量大学 一种巡检机器人及其控制装置和巡检方法
CN112733346B (zh) * 2020-12-31 2022-08-09 博迈科海洋工程股份有限公司 一种电气操作间宜人化区域规划方法
CN112797986B (zh) * 2021-02-07 2023-03-31 江西省智能产业技术创新研究院 基于无人自主技术的智能物流机器人定位系统及方法
CN113129472B (zh) * 2021-04-20 2023-07-25 树根互联股份有限公司 工况数据处理方法、装置、终端设备和可读存储介质
CN115328108A (zh) * 2021-04-23 2022-11-11 南京泉峰科技有限公司 智能割草设备及其运行控制方法
CN115378790A (zh) * 2021-05-20 2022-11-22 中国移动通信集团辽宁有限公司 故障预警方法、装置、电子设备和存储介质
CN115480559A (zh) * 2021-05-31 2022-12-16 苏州宝时得电动工具有限公司 自移动设备及躲避障碍的控制方法、存储介质
CN113467479B (zh) * 2021-08-05 2023-08-15 南京苏美达智能技术有限公司 一种工作区域中作业路径的调整方法及自动行走设备
CN113655798B (zh) * 2021-08-19 2024-04-19 山东交工建设集团有限公司 一种压路机多机作业的路径规划方法及系统
US11912304B1 (en) * 2021-08-25 2024-02-27 Amazon Technologies, Inc. System to maintain a dock location of an autonomous mobile device
CN114115265A (zh) * 2021-11-23 2022-03-01 未岚大陆(北京)科技有限公司 自移动设备的路径处理方法、及自移动设备
CN114137987A (zh) * 2021-12-01 2022-03-04 山东新坐标智能装备有限公司 机器人路径规划方法、系统、机器人及存储介质
CN114136307B (zh) * 2021-12-07 2024-01-26 上汽大众汽车有限公司 一种车载导航系统地图全自动更新方法
CN114291083B (zh) * 2022-01-12 2023-07-25 未岚大陆(北京)科技有限公司 自移动装置控制方法、装置、系统、介质及自移动装置
WO2023155155A1 (fr) * 2022-02-18 2023-08-24 Beijing Smorobot Technology Co., Ltd Procédé, appareil de commande de retour de robot de nettoyage de piscine et dispositif électronique associé
SE546086C2 (en) * 2022-03-02 2024-05-14 Husqvarna Ab Robotic lawnmower arranged to operate in an operational area and a method therefor
AU2023202440A1 (en) * 2022-04-28 2023-11-16 Techtronic Cordless Gp Creation of a virtual boundary for a robotic garden tool
CN114912893B (zh) * 2022-05-12 2023-04-28 上海丰麓园林绿化建设有限公司 一种园林绿化管理方法、系统、存储介质及智能终端
CN114980142B (zh) * 2022-06-10 2023-05-12 未岚大陆(北京)科技有限公司 基站安装位置的推荐方法、装置、存储介质及割草机
CN115039559B (zh) * 2022-06-15 2024-05-24 深圳市杉川机器人有限公司 一种智能割草机的防压草算法及系统
CN115413471B (zh) * 2022-09-16 2024-01-23 格力博(江苏)股份有限公司 一种将割草机引导至预定位置的方法、系统及割草机
CN115443792A (zh) * 2022-08-12 2022-12-09 深圳拓邦股份有限公司 割草机的建图方法、系统及可读存储介质
SE545858C2 (en) * 2022-09-02 2024-02-27 Husqvarna Ab Improved navigation for a robotic lawnmower
CN115175311B (zh) * 2022-09-06 2022-12-20 上海银基信息安全技术股份有限公司 车辆数字钥匙的定位方法、装置、车辆及介质
CN115291613A (zh) * 2022-09-16 2022-11-04 未岚大陆(北京)科技有限公司 自主移动设备及其控制方法和计算机可读存储介质
CN115443795B (zh) * 2022-09-29 2024-01-30 宁波东贝智能科技有限公司 一种割草机碰撞检测方法、系统、存储介质及智能终端
US20240168488A1 (en) * 2022-11-17 2024-05-23 Techtronic Cordless Gp Determining a location to place a base station device used by a robotic garden tool
CN117044478B (zh) * 2023-08-31 2024-03-19 未岚大陆(北京)科技有限公司 割草机控制方法、装置、割草机、电子设备及存储介质

Family Cites Families (105)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB8313338D0 (en) * 1983-05-14 1983-06-22 Gen Electric Co Plc Vehicle control
JP2669889B2 (ja) * 1989-04-07 1997-10-29 住友電気工業株式会社 自立航法装置に用いる角速度センサの較正装置
JP3286334B2 (ja) * 1992-01-17 2002-05-27 本田技研工業株式会社 移動体の制御装置
US5563787A (en) * 1993-12-22 1996-10-08 Kabushiki Kaisha Komatsu Seisakusho Apparatus for measuring position of moving body and apparatus for measuring relative distance
IL113913A (en) * 1995-05-30 2000-02-29 Friendly Machines Ltd Navigation method and system
DE69615789T2 (de) * 1995-11-07 2002-07-04 Friendly Robotics Ltd System zur Ermittlung von Grenzlinien für einen automatisierten Roboter
US5906653A (en) * 1995-12-01 1999-05-25 Fujitsu Ten Limited Navigation system and gyroscopic device
JP3700882B2 (ja) * 1996-08-29 2005-09-28 ソニー株式会社 Ｇｐｓ受信装置、ナビゲーシヨン装置、車両、衛星受信装置及び受信レベル表示方法
IL124413A (en) * 1998-05-11 2001-05-20 Friendly Robotics Ltd System and method for area coverage with an autonomous robot
US6611738B2 (en) * 1999-07-12 2003-08-26 Bryan J. Ruffner Multifunctional mobile appliance
BG107622A (bg) * 2003-03-07 2004-09-30 Raysat Cyprus Limited Следяща система за плоска мобилна антенна система
US6907336B2 (en) * 2003-03-31 2005-06-14 Deere & Company Method and system for efficiently traversing an area with a work vehicle
CN1544177A (zh) * 2003-11-28 2004-11-10 清华大学 大型复杂曲面钢板水火加工智能机器人控制方法
US7639646B2 (en) * 2004-03-17 2009-12-29 Qualcomm Incorporated Satellite diversity system, apparatus and method
US7248211B2 (en) * 2004-07-26 2007-07-24 Navcom Technology Inc. Moving reference receiver for RTK navigation
WO2006121023A1 (fr) * 2005-05-09 2006-11-16 Sueo Sugimoto Dispositif de positionnement mondial et systeme de positionnement mondial
EP2013671B1 (fr) * 2006-03-17 2018-04-25 iRobot Corporation Robot d'entretien de pelouses
US20070282565A1 (en) * 2006-06-06 2007-12-06 Honeywell International Inc. Object locating in restricted environments using personal navigation
WO2008013846A2 (fr) * 2006-07-26 2008-01-31 Sensormatic Electronics Corporation Système de point de lecture mobile et procédé pour lire des étiquettes eléctroniques
KR20090068473A (ko) * 2007-12-24 2009-06-29 (주)밴지스테크 실시간 공정관리가 가능한 성토다짐관리시스템
JP5365012B2 (ja) * 2008-01-29 2013-12-11 セイコーエプソン株式会社 衛星信号受信装置および衛星信号受信装置の制御方法
WO2009132317A1 (fr) * 2008-04-24 2009-10-29 Evolution Robotics Application de système de localisation, positionnement et navigation pour produits mobiles robotisés
JP2010019703A (ja) * 2008-07-10 2010-01-28 Toyota Motor Corp 移動体用測位装置
US7956806B2 (en) * 2009-06-15 2011-06-07 Northrop Grumman Space And Mission Systems Corp. Tracking arrangement for a communications system on a mobile platform
DE102009059212A1 (de) * 2009-08-12 2011-02-17 Vorwerk & Co. Interholding Gmbh Selbsttätig verfahrbares Gerät sowie Verfahren zur Zielführung eines solchen Gerätes
US8849036B2 (en) * 2009-10-30 2014-09-30 Yujin Robot Co., Ltd. Map generating and updating method for mobile robot position recognition
CN101738206B (zh) * 2009-12-17 2011-11-23 哈尔滨工业大学 具有故障模拟功能的gps接收机模拟方法
EP2558918B1 (fr) * 2010-04-14 2018-02-28 Husqvarna AB Outil de jardin robotisé suivant des fils à distance, par utilisation de signaux multiples
CN102082466A (zh) * 2010-10-15 2011-06-01 重庆市电力公司超高压局 变电站设备智能巡检机器人系统
KR101203897B1 (ko) * 2011-02-25 2012-11-23 동국대학교 산학협력단 이동체（ｍｏｂｉｌｅ ｂｏｄｙ）를 위한 셀?기반 경로 계획 장치 및 방법
US20120260617A1 (en) * 2011-04-18 2012-10-18 Briggs & Stratton Corporation Charging station for battery-powered lawn mower
CN202182945U (zh) * 2011-07-15 2012-04-04 成都唐源电气有限责任公司 基于雷达和相机扫描的综合定位装置
US9310911B2 (en) * 2011-07-29 2016-04-12 Sharp Kabushiki Kaisha Display device
DE102011083309A1 (de) * 2011-09-23 2013-03-28 Robert Bosch Gmbh Autonomes Arbeitsgerät
CN102421064B (zh) * 2011-11-10 2017-02-22 厦门雅迅网络股份有限公司 一种基于gps和通信基站监测车辆位移的方法及系统
CN102520415B (zh) * 2011-12-15 2013-07-24 大唐移动通信设备有限公司 一种终端的定位方法及终端
CN103217976B (zh) * 2012-01-19 2017-09-26 苏州宝时得电动工具有限公司 自驱动移动装置
GB201202344D0 (en) * 2012-02-10 2012-03-28 Isis Innovation Method of locating a sensor and related apparatus
CN102541062B (zh) * 2012-02-24 2014-01-15 天津大学 一种水下自主式航行器的局部路径规划方法
CN102591331A (zh) * 2012-03-14 2012-07-18 桂林中昊力创机电设备有限公司 自动化设备故障可视化诊断系统
CN103324192A (zh) * 2012-03-23 2013-09-25 苏州宝时得电动工具有限公司 边界设置方法及边界设置系统
CN103324191A (zh) * 2012-03-23 2013-09-25 苏州宝时得电动工具有限公司 控制方法及执行该控制方法的控制系统
CN103388873B (zh) * 2012-05-08 2016-04-27 珠海格力电器股份有限公司 空调系统的故障处理方法和装置
US9026299B2 (en) * 2012-07-09 2015-05-05 Deere & Company Navigation system and method for autonomous mower
KR101977733B1 (ko) * 2012-07-12 2019-05-13 삼성전자주식회사 오류 기반 공격의 검출 방법
CN103576567A (zh) * 2012-07-26 2014-02-12 苏州宝时得电动工具有限公司 机器人及其控制方法、机器人系统
CN102909148B (zh) * 2012-08-13 2014-10-29 东南大学 一种多喷枪自适应建模的喷涂路径自动生成方法
EP2902863B1 (fr) * 2012-09-28 2019-07-03 Hitachi, Ltd. Appareil â déplacement autonome
CN102955478B (zh) * 2012-10-24 2016-01-20 深圳一电科技有限公司 无人机飞行控制方法及系统
CN103891463A (zh) * 2012-12-28 2014-07-02 苏州宝时得电动工具有限公司 自动割草系统
CN103116360B (zh) * 2013-01-31 2015-06-17 南京航空航天大学 一种无人机避障控制方法
AU2014232318B2 (en) * 2013-03-15 2018-04-19 Mtd Products Inc. Autonomous mobile work system comprising a variable reflectivity base station
US9064352B2 (en) * 2013-04-24 2015-06-23 Caterpillar Inc. Position identification system with multiple cross-checks
US9642110B2 (en) * 2013-05-09 2017-05-02 Marvell World Trade Ltd. GPS and WLAN hybrid position determination
CN203352594U (zh) * 2013-07-18 2013-12-18 福建宝通科技有限公司 一种便携式简易寻星仪
EP2843997B1 (fr) * 2013-08-30 2016-06-15 Swisscom AG Station de base virtuelle mobile
JP2015075380A (ja) * 2013-10-08 2015-04-20 鹿島建設株式会社 リアルタイムキネマティックシステム及び位置測定方法
US9354070B2 (en) * 2013-10-31 2016-05-31 Crown Equipment Corporation Systems, methods, and industrial vehicles for determining the visibility of features
JP5949734B2 (ja) * 2013-11-29 2016-07-13 トヨタ自動車株式会社 異常判定システム、及びその判定方法
EP3754381A1 (fr) * 2013-12-10 2020-12-23 SZ DJI Technology Co., Ltd. Fusion de capteurs
EP3084541B1 (fr) * 2013-12-19 2019-05-08 Husqvarna AB Navigation adaptée à un outil de travail robotisé
WO2015094053A1 (fr) * 2013-12-19 2015-06-25 Husqvarna Ab Système et procédé permettant la navigation d'un outil de travail robotique
CN103728644B (zh) 2013-12-25 2016-08-17 李青花 一种定位系统及定位方法
CN104737698A (zh) * 2013-12-27 2015-07-01 苏州宝时得电动工具有限公司 自动割草机
CN103760908B (zh) * 2014-01-03 2015-09-23 北京控制工程研究所 一种巡视器闭环跟踪控制方法
CN103760585B (zh) * 2014-01-09 2017-05-10 中国林业科学研究院资源信息研究所 一种适用林区的星‑地结合定位方法
KR101513050B1 (ko) * 2014-01-29 2015-04-17 엘지전자 주식회사 잔디 깎기 로봇 및 그 제어 방법
CN106164799A (zh) * 2014-03-28 2016-11-23 洋马株式会社 自主行驶作业车辆
JP5923130B2 (ja) * 2014-03-28 2016-05-24 ソフトバンク株式会社 管理サーバ及びゲートウェイ装置
KR101578882B1 (ko) * 2014-05-02 2015-12-18 에브리봇 주식회사 로봇 청소기 및 그 제어 방법
CN105446330A (zh) * 2014-08-07 2016-03-30 苏州宝时得电动工具有限公司 自驱动移动装置及其异常警报方法
CN105511457B (zh) * 2014-09-25 2019-03-01 科沃斯机器人股份有限公司 机器人静态路径规划方法
CN105511458B (zh) * 2014-09-25 2019-06-28 中国科学院深圳先进技术研究院 自动行走设备及其路径规划方法
CN105446350B (zh) * 2014-09-26 2018-05-29 科沃斯机器人股份有限公司 自移动机器人移动界限划定方法
CN105890602A (zh) * 2014-11-17 2016-08-24 孔兵 差分卫星定位系统的电子地图绘制装置及方法
US9420741B2 (en) * 2014-12-15 2016-08-23 Irobot Corporation Robot lawnmower mapping
WO2016097891A1 (fr) * 2014-12-18 2016-06-23 Husqvarna Ab Véhicule robotisé de détection de zones d'ombre gps
SE1451645A1 (sv) * 2014-12-23 2016-05-31 Husqvarna Ab Improved navigation for a robotic lawnmower
CN204440165U (zh) * 2015-02-12 2015-07-01 济南大学 一种适用于矩形割草范围的智能割草机
CN105988471B (zh) * 2015-02-15 2020-09-22 苏州宝时得电动工具有限公司 割草机的智能割草系统及割草控制方法
CA2978714C (fr) * 2015-03-06 2019-04-02 Gatekeeper Systems, Inc. Localisation a faible consommation d'energie d'objets deplacables
EP3254404A4 (fr) * 2015-03-31 2018-12-05 SZ DJI Technology Co., Ltd. Systèmes d'authentification et procédés de génération de règlementations de vol
CN104828698B (zh) * 2015-04-15 2017-01-04 华东师范大学 基于自组网的北斗定位系统的起重机自动巡航系统及方法
CN105004336A (zh) * 2015-07-10 2015-10-28 中国科学院深圳先进技术研究院 一种机器人的定位方法
CN105116902A (zh) * 2015-09-09 2015-12-02 北京进化者机器人科技有限公司 一种移动机器人避障导航的方法和系统
CN105407500B (zh) * 2015-10-16 2018-09-14 深圳市华讯方舟卫星通信有限公司 一种智能终端及其卫星信号质量的显示方法和装置
CN105405451A (zh) 2015-11-20 2016-03-16 芜湖市振华戎科智能科技有限公司 北斗导航的宠物监管追踪系统
CN105446343B (zh) * 2016-01-04 2019-03-08 杭州亚美利嘉科技有限公司 一种机器人的调度方法及装置
CN105676252B (zh) * 2016-01-19 2018-11-20 施浒立 一种用于信号遮挡区域的导航信号源
JP2017157924A (ja) * 2016-02-29 2017-09-07 アイシン精機株式会社 アンテナモジュール
WO2017148438A1 (fr) * 2016-03-03 2017-09-08 苏州宝时得电动工具有限公司 Système de positionnement précis, et station de base et système de robot à déplacement autonome associés
CN105747988B (zh) * 2016-03-07 2018-03-30 德州职业技术学院 智能太阳能清洁机器人及其定位清洁方法
CN113156471A (zh) * 2016-04-13 2021-07-23 苏州宝时得电动工具有限公司 定位系统及定位方法
CN105738935A (zh) * 2016-04-26 2016-07-06 重庆卓观科技有限公司 一种基于卫星导航的移动通信基站天线姿态测量终端
CN105843219A (zh) * 2016-05-20 2016-08-10 吴江智远信息科技发展有限公司 一种具有导航故障自动检测的车载汽车故障诊断仪
CN106155053A (zh) * 2016-06-24 2016-11-23 桑斌修 一种割草方法、装置以及系统
CN205692049U (zh) * 2016-06-24 2016-11-16 桑斌修 一种无边界线的割草机器人
CN105856263A (zh) * 2016-06-24 2016-08-17 深圳市鑫益嘉科技股份有限公司 一种带有智能跟随功能的机器人
CN106202241A (zh) * 2016-06-29 2016-12-07 泰华智慧产业集团股份有限公司 产业地图区域地斑智能上报方法及系统
CN106153059B (zh) * 2016-07-01 2019-05-31 北京云迹科技有限公司 基于视觉标识对接充电装置的方法
CN106020210A (zh) * 2016-08-05 2016-10-12 江苏高科物流科技股份有限公司 一种基于无线终端的自动导引小车控制方法及系统
CN106325271A (zh) 2016-08-19 2017-01-11 深圳市银星智能科技股份有限公司 智能割草装置及智能割草装置定位方法
CN110888437B (zh) * 2016-11-11 2023-02-21 苏州宝时得电动工具有限公司 自动工作系统及其控制方法
CN107064961B (zh) * 2017-03-24 2018-05-22 北京航空航天大学 对卫星导航系统完好性监测性能进行测试的方法及装置
CN107390679B (zh) * 2017-06-13 2020-05-05 合肥中导机器人科技有限公司 存储设备、激光导航叉车

Cited By (32)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11340073B2 (en) * 2017-11-13 2022-05-24 Living Map Limited Positioning correction
US11076529B2 (en) * 2017-11-16 2021-08-03 Nanjing Chervon Industry Co., Ltd. Intelligent mowing system
US20200275604A1 (en) * 2017-11-16 2020-09-03 Nanjing Chervon Industry Co., Ltd. Intelligent mowing system
US11140819B2 (en) * 2017-11-16 2021-10-12 Nanjing Chervon Industry Co., Ltd. Intelligent mowing system
US20210165416A1 (en) * 2018-04-06 2021-06-03 Lg Electronics Inc. Moving robot and control method of moving robot
CN109634285A (zh) * 2019-01-14 2019-04-16 深圳市傲基电子商务股份有限公司 割草机器人及其控制方法
US20220159899A1 (en) * 2019-01-29 2022-05-26 Yanmar Power Technology Co., Ltd. Autonomous travel system
US20220281337A1 (en) * 2019-05-03 2022-09-08 Prodrive Technologies Innovation Services B.V. System and method for positioning a mobile assembly
US20220342426A1 (en) * 2019-09-29 2022-10-27 Posltec Power Tools (Suzhou) Co., Ltd. Map building method, self-moving device, and automatic working system
US11859980B2 (en) * 2019-10-29 2024-01-02 Ursrobot Inc. Method of movement tracking, processing module and lawn mower
US20210123742A1 (en) * 2019-10-29 2021-04-29 Ursrobot Inc. Method of movement tracking, processing module and lawn mower
US11672200B2 (en) 2019-11-27 2023-06-13 Andreas Stihl Ag & Co. Kg Method for determining a robot position of an autonomous mobile green area maintenance robot on an area to be maintained, method for operating an autonomous mobile green area maintenance robot on an area to be maintained, and green area maintenance system
US11803187B2 (en) * 2020-03-27 2023-10-31 Honda Motor Co., Ltd. Autonomous work system, autonomous work setting method, and storage medium
EP3945769B1 (fr) * 2020-05-28 2024-03-13 Yamabiko Europe Robot mobile et méthode de limitation spatiale d'un déplacement d'un robot mobile
US11971719B2 (en) 2020-06-04 2024-04-30 Firefly Automatix, Inc. Performing low profile object detection on a mower
WO2021247790A1 (fr) * 2020-06-04 2021-12-09 Firefly Automatix, Inc. Exécution de détection d'objet à profil bas sur une faucheuse
US20220090937A1 (en) * 2020-09-24 2022-03-24 Ford Global Technologies, Llc Mapping of a drivable area for vehicle navigation
US20220269253A1 (en) * 2021-02-19 2022-08-25 Joy Global Surface Mining Inc System and method for operating a mining machine with respect to a geofence using a dynamic operation zone
US20220269283A1 (en) * 2021-02-19 2022-08-25 Joy Global Surface Mining Inc System and method for operating a mining machine with respect to a geofence using nested operation zones
US11906952B2 (en) * 2021-02-19 2024-02-20 Joy Global Surface Mining Inc System and method for operating a mining machine with respect to a geofence using a dynamic operation zone
US20220305658A1 (en) * 2021-03-29 2022-09-29 Husqvarna Ab Operation for a Robotic Work Tool
CN113359766A (zh) * 2021-07-05 2021-09-07 杭州萤石软件有限公司 一种移动机器人的移动控制方法、以及移动机器人
CN113568404A (zh) * 2021-07-08 2021-10-29 深圳拓邦股份有限公司 一种割草机器人割草模式自适应方法及割草机器人
EP4179862A1 (fr) * 2021-11-10 2023-05-17 Techtronic Cordless GP Tondeuses à gazon robotiques
CN114166247A (zh) * 2021-11-25 2022-03-11 中船航海科技有限责任公司 基于海流数值预报信息的航线评估系统、方法及存储介质
JP7176652B1 (ja) * 2022-02-02 2022-11-22 トヨタ自動車株式会社 草刈機
SE2250703A1 (en) * 2022-06-13 2023-12-14 Husqvarna Ab Improved navigation for a robotic work tool system
WO2023244150A1 (fr) * 2022-06-13 2023-12-21 Husqvarna Ab Navigation améliorée pour système d'outil de travail robotique
US20240004393A1 (en) * 2022-07-04 2024-01-04 Willand (Beijing) Technology Co., Ltd. Method for generating transfer path, electronic device, and computer storage medium
WO2024059134A1 (fr) * 2022-09-14 2024-03-21 The Toro Company Définition de limite pour région de travail de machine autonome
CN117249834A (zh) * 2023-11-17 2023-12-19 未岚大陆(北京)科技有限公司 路径规划方法、装置、设备及存储介质
CN117824665A (zh) * 2024-03-05 2024-04-05 安徽领云物联科技有限公司 一种基于gis的巡检机器人路线规划系统

Also Published As

Publication number Publication date
CN108226964A (zh) 2018-06-29
EP3561627A1 (fr) 2019-10-30
CN108226964B (zh) 2021-11-16
CN108226972A (zh) 2018-06-29
CN207799086U (zh) 2018-08-31
EP3557355B1 (fr) 2023-07-12
CN108398944B (zh) 2021-04-06
CN108226972B (zh) 2020-11-17
EP4276645A3 (fr) 2024-01-10
CN108267752A (zh) 2018-07-10
EP3557355A1 (fr) 2019-10-23
CN108226965B (zh) 2022-01-18
CN108398944A (zh) 2018-08-14
CN108226859A (zh) 2018-06-29
CN113110416A (zh) 2021-07-13
CN108267752B (zh) 2022-01-18
EP3557355A4 (fr) 2020-07-22
WO2018108180A1 (fr) 2018-06-21
CN108228739A (zh) 2018-06-29
CN108227705A (zh) 2018-06-29
CN108227705B (zh) 2021-06-11
CN108228741A (zh) 2018-06-29
CN108226965A (zh) 2018-06-29
EP3561627A4 (fr) 2020-07-22
EP4276645A2 (fr) 2023-11-15
US11442448B2 (en) 2022-09-13
US20190369640A1 (en) 2019-12-05
CN108227704A (zh) 2018-06-29
WO2018108179A1 (fr) 2018-06-21
CN113110416B (zh) 2023-11-07

Similar Documents

Publication Publication Date Title
US20190346848A1 (en) Dividing method for working region of self-moving device, dividing apparatus, and electronic device
US20220075376A1 (en) Returning method of self-moving device, self-moving device, storage medium, and server
US11841710B2 (en) Automatic working system, self-moving device, and methods for controlling same
US10646997B2 (en) Navigation for a robotic working tool
US11378979B2 (en) Moving object and positioning method therefor, automated working system, and storage medium
US20220342426A1 (en) Map building method, self-moving device, and automatic working system
KR20190064252A (ko) 이동 로봇 및 그 제어방법
US20170031368A1 (en) Navigation for a robotic working tool

Legal Events

Date Code Title Description
AS Assignment

Owner name: POSITEC POWER TOOLS (SUZHOU) CO., LTD., CHINA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:ZHOU, CHANG;TAN, YIYUN;LIU, FANGSHI;AND OTHERS;SIGNING DATES FROM 20190718 TO 20190725;REEL/FRAME:049934/0636

STPP Information on status: patent application and granting procedure in general

Free format text: DOCKETED NEW CASE - READY FOR EXAMINATION

STPP Information on status: patent application and granting procedure in general

Free format text: NON FINAL ACTION MAILED

STCB Information on status: application discontinuation

Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION