CN106441275A - Method and device for updating planned path of robot - Google Patents

Method and device for updating planned path of robot Download PDF

Info

Publication number
CN106441275A
CN106441275A CN201610843839.0A CN201610843839A CN106441275A CN 106441275 A CN106441275 A CN 106441275A CN 201610843839 A CN201610843839 A CN 201610843839A CN 106441275 A CN106441275 A CN 106441275A
Authority
CN
China
Prior art keywords
robot
point
dimensional coordinate
coordinate
barrier
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.)
Pending
Application number
CN201610843839.0A
Other languages
Chinese (zh)
Inventor
李坚强
邓根强
李赛玲
明仲
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.)
Shenzhen University
Original Assignee
Shenzhen University
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 Shenzhen University filed Critical Shenzhen University
Priority to CN201610843839.0A priority Critical patent/CN106441275A/en
Publication of CN106441275A publication Critical patent/CN106441275A/en
Priority to PCT/CN2017/085352 priority patent/WO2018054080A1/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/20Instruments for performing navigational calculations

Landscapes

  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Automation & Control Theory (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)
  • Manipulator (AREA)

Abstract

The invention is applicable to the technical field of robots, and provides a method and a device for updating a planned path of a robot. The method comprises the following steps of obtaining a current carrier coordinate in real time in the movement process of the robot, converting the current carrier coordinate into a current global coordinate of the robot, calculating a movement speed estimation and a position estimation that the robot moves to a next site according to the current global coordinate and a current movement speed, obtaining a three-dimensional coordinate point a pixel point in a depth image representing an obstacle in a surrounding environment of the robot, transforming the three-dimensional coordinate point into a two-dimensional coordinate point, further obtaining the angular point of the obstacle in the surrounding environment according to the two-dimensional coordinate point, and finally updating the planned path of the robot in combination with the position estimation and the angular point of the obstacle. Thus, the accurate positioning and the avoidance of the obstacle are realized by utilizing speed and position information which is obtained by a sensor of the robot; the calculation in the path updating process is decreased through transforming the three-dimensional coordinate into the two-dimensional coordinate; the response speed of updating the path is improved.

Description

A kind of update method in robot planning path and device
Technical field
The invention belongs to robotics, more particularly to a kind of update method in robot planning path and device.
Background technology
Existing robot is generally come using global positioning system (Global Positioning System, be abbreviated as GPS) Positioning, and using laser, the environment of periphery is detected, with the contexture by self of realizing route.GPS is the leading whole world in the U.S. Alignment system, is that one kind has comprehensive, round-the-clock, all the period of time, high-precision satellite navigation system, and adopts laser sensor It is the principle using laser ranging, by recording three-dimensional coordinate, reflectance and the stricture of vagina of the substantial amounts of intensive point in testee surface The information such as reason, rebuild out threedimensional model and the various map data such as line, face, body of measured target.
However, there are some problems using GPS when a small range carries out object positioning.On the one hand, the easy quilt of gps signal The objects such as building, massif are blocked, and on the other hand, GPS is difficult to get the important geography information such as robot move angle, and adopts Surrounding enviroment are found out with laser sensor and is also required to the longer calculating time, so that robot compares in moving range When little, real-time, the precise positioning of robot difficult to realize.
Content of the invention
It is an object of the invention to provide a kind of update method in robot planning path and device, it is intended to solve due to existing There is technology that a kind of efficient robotic routing update method cannot be provided, causes robot machine to be difficult to when small range is moved The problem of the real-time, precise positioning of device people.
On the one hand, the invention provides a kind of update method in robot planning path, methods described comprises the steps:
Obtain the present carrier coordinate in robot moving process in real time, the present carrier coordinate is transformed to the machine The current world coordinatess of device people;
According to the current world coordinatess and current translational speed, the movement that the robot moves to next place is calculated Velocity estimation and location estimation;
The three-dimensional coordinate point for representing pixel in barrier depth image in the robot is obtained, will be described Three-dimensional coordinate point is converted to two-dimensional coordinate point, to obtain the projected outline of barrier in the robot;
The angle point of barrier in the surrounding is obtained according to the two-dimensional coordinate point;
The path planning of the robot is updated according to the angle point of the location estimation and the barrier.
On the other hand, the invention provides a kind of updating device in robot planning path, described device includes:
Coordinate transformation unit, for obtaining the present carrier coordinate in robot moving process in real time, works as front bearing by described Body coordinate is transformed to the current world coordinatess of the robot;
Parameter acquiring unit, moves for according to the current world coordinatess and current translational speed, calculating the robot Move moving speed estimation and the location estimation in next place;
Coordinate transformation unit, for pixel in barrier depth image in the acquisition expression robot Three-dimensional coordinate point, the three-dimensional coordinate point is converted to two-dimensional coordinate point, to obtain barrier in the robot Projected outline;
Angle point acquiring unit, for obtaining the angle point of barrier in the surrounding according to the two-dimensional coordinate point;With And
Routing update unit, for updating the rule of the robot according to the angle point of the location estimation and the barrier Draw path.
Present carrier coordinate is transformed to by the present invention by obtaining the present carrier coordinate in robot moving process in real time The current world coordinatess of robot, according to current world coordinatess and current translational speed, calculating robot moves to next place Moving speed estimation and location estimation, obtain the three-dimensional for representing pixel in barrier depth image in robot Coordinate points, three-dimensional coordinate point are converted to two-dimensional coordinate point, to obtain the projected outline of barrier in robot, are entered And the angle point according to barrier in two-dimensional coordinate point acquisition surrounding, last binding site is estimated and the angle point of barrier updates The path planning of robot, so as to achieve the essence of barrier using the speed of robot self-sensor device acquisition and positional information Determine position and evade, and the computation complexity during two-dimensional coordinate reduces routing update is turned by three-dimensional coordinate, improve The response speed of routing update.
Description of the drawings
Fig. 1 is the flowchart of the update method in robot planning path provided in an embodiment of the present invention;
Fig. 2 is the structural representation of the updating device in robot planning path provided in an embodiment of the present invention;And
Fig. 3 is the preferred structure schematic diagram of the updating device in robot planning path provided in an embodiment of the present invention.
Specific embodiment
In order that the objects, technical solutions and advantages of the present invention become more apparent, below in conjunction with drawings and Examples, right The present invention is further elaborated.It should be appreciated that specific embodiment described herein is only in order to explain the present invention, and It is not used in the restriction present invention.
Below in conjunction with specific embodiment, implementing for the present invention is described in detail:
What Fig. 1 showed the update method in robot planning path provided in an embodiment of the present invention realizes flow process, in order to just In explanation, the part related to the embodiment of the present invention is illustrate only, details are as follows:
In step S101, obtain the present carrier coordinate in robot moving process in real time, present carrier coordinate is become It is changed to the current world coordinatess of robot.
The embodiment of the present invention is applied to robot, for the autonomous path planning in robot moving process.In robot Be configured with corresponding sensor, for example, acceleration transducer, gyroscope etc., with obtain in moving process with robot mobile phase The data of pass, for example, in terms of acceleration, the deflection of moving process etc..Present carrier coordinate be robot at current location Corresponding coordinate in carrier coordinate system, and carrier coordinate system is the coordinate system being connected in robot.As an example, the coordinate The initial point O of systembCan be located at the barycenter of robot.xbTowards the direction of robot movement, ybRobot direction of advance is then pointed to Right-hand side, zbPerpendicular to ObxbybPlane and meet right-hand rule.Current world coordinatess are robots at current location in the overall situation Corresponding coordinate in coordinate system, global coordinate system is the world coordinatess system that (for example, navigation application) is arranged in a particular application.
It is therefore preferred that carrier coordinate system and the global coordinate system of robot should be built in advance, so as to utilize carrier coordinate Coordinate pair robot in system (robot) is positioned, and without using special alignment system or global system, robot is entered Row positioning, improves positioning precision of the robot when a small range is moved.Present carrier coordinate is being transformed to robot Current world coordinatess when, changed using the transformational relation between carrier coordinate system and global coordinate system.Specifically, Using formulaThe current world coordinatess of calculating robot, to obtain the accurate global seat of robot Mark.Wherein,For present carrier coordinate, Wherein ψ is course angle (robot is around the anglec of rotation of z-axis), θ For the angle of pitch (robot is around the anglec of rotation of y-axis), it is default normal that γ is roll angle (robot is around the anglec of rotation of x-axis), λ Number.
In step s 102, according to current world coordinatess and current translational speed, calculating robot moves to next place Moving speed estimation and location estimation.
In embodiments of the present invention, need obtain robot current translational speed, with according to current world coordinatess and work as Front translational speed, calculating robot moves to the moving speed estimation in next place and location estimation.That is, from present bit Put or coordinate is moved along the path that robot is determined in prior location with the speed, to determine the next possible shifting of robot Dynamic speed and position or coordinate.
Preferably, according to formula
Calculating robot moves to moving speed estimation and the location estimation in next place respectively.Wherein, VxWRepresent machine Speed of the people under global coordinate system on x-axis direction, VyWRepresent the speed on y-axis direction, V under global coordinate systemzWRepresent global Speed under coordinate system on z-axis direction, Δ ωxwJ () represents under global coordinate system between x-axis direction j time point and j-1 time point Acceleration change value, Δ ωywAcceleration change between y-axis direction j time point and j-1 time point under (j) expression global coordinate system Value, Δ ωzwJ () represents acceleration change value, k, k+1 table between z-axis direction j time point and j-1 time point under global coordinate system Show current point in time and future time point, xwRepresent the position on x-axis direction, y under global coordinate systemwRepresent y under global coordinate system Position on direction of principal axis, zwRepresent the position on z-axis direction, T under global coordinate system2Represent the calculating cycle of navigator fix, T1Table The sensor sample cycle is shown as, n is constant, and T2=n*T1.So, Then represent current time respectively Point (k time point), speed of future time point (k+1 time point) robot under global coordinate system in all directions,Then represent current point in time (k time point), future time point (k+1 time point) robot complete respectively Coordinate under office's coordinate system in all directions.
In step s 103, the three-dimensional coordinate for representing pixel in barrier depth image in robot is obtained Point, three-dimensional coordinate point is converted to two-dimensional coordinate point, to obtain the projected outline of barrier in robot.
In embodiments of the present invention, map or the barrier on robot mobile route can be obtained by Kinect depth transducer Hinder object image, then would indicate that the three-dimensional coordinate point of obstructions chart picture is converted to two-dimensional coordinate point, then by picture in depth image The depth information of vegetarian refreshments, latitude information and longitudinal axis information are converted into point-like cloud data, according to default conversion relation and point-like Cloud data, calculate the three-dimensional coordinate point for representing barrier in robot, according between three-dimensional coordinate and two-dimensional coordinate Default projection relation, three-dimensional coordinate point is converted to two-dimensional coordinate point, so as to obtain barrier in robot Two-dimensional projection's profile.So, the two-dimensional map being converted to by depth image or obstructions chart picture, do not reduce two-dimensional map or While barrier pattern accuracy, can effectively reduce the complexity of subsequent calculations, improve the renewal efficiency of robot path.
The angle point of barrier in surrounding in step S104, is obtained according to two-dimensional coordinate point.
In embodiments of the present invention, in surrounding is obtained during the angle point of barrier, using default window function meter The correlation matrix of each two-dimensional coordinate point is calculated, is rung according to the Harris angle point that correlation matrix calculates each two-dimensional coordinate point Should, a non-maxima suppression is done in the then Harris angle point response to each two-dimensional coordinate point, with preset window Maximum point is looked in two-dimensional coordinate point, when the Harris angle point response of the two-dimensional coordinate point in preset window is more than default The Harris angle point response of threshold values and two-dimensional coordinate point is the local maximum in preset window, will be true for the two-dimensional coordinate point It is set to the angle point of barrier in surrounding, so as to identify barrier or obstacles borders in obstructions chart picture.
The path planning of robot in step S105, is updated according to the angle point of location estimation and barrier.
In embodiments of the present invention, the next place that can move into according to the robot being previously obtained, in conjunction with identification Barrier, the path that further robot can be determined in prior location is modified, updates, to prevent robot from moving During collision obstacle.
Speed that the embodiment of the present invention is obtained using robot self-sensor device and positional information achieve the essence of barrier Determine position and evade, and the computation complexity during two-dimensional coordinate reduces routing update is turned by three-dimensional coordinate, improve The response speed of routing update.
Fig. 2 shows the structure of the updating device in robot planning path provided in an embodiment of the present invention, for the ease of saying Bright, the part related to the embodiment of the present invention is illustrate only, including:
Coordinate transformation unit 21, for obtaining the present carrier coordinate in robot moving process in real time, by present carrier Coordinate is transformed to the current world coordinatess of robot;
Parameter acquiring unit 22, for according to current world coordinatess and current translational speed, calculating robot moves to down The moving speed estimation and location estimation in one place;
Coordinate transformation unit 23, for three of pixel in barrier depth image in acquisition expression robot Dimension coordinate point, three-dimensional coordinate point is converted to two-dimensional coordinate point, to obtain the projected outline of barrier in robot;
Angle point acquiring unit 24, for obtaining the angle point of barrier in surrounding according to two-dimensional coordinate point;And
Routing update unit 25, for updating the path planning of robot according to the angle point of location estimation and barrier.
As shown in Figure 3, it is preferable that the updating device also includes:
Coordinate system construction unit 20, for building carrier coordinate system and the global coordinate system of robot in advance.
Coordinate transformation unit 21 includes:
Coordinate computation subunit 211, for according to formulaThe current world coordinatess of calculating robot, Wherein,For present carrier coordinate, Wherein ψ is course angle (robot is around the anglec of rotation of z-axis), θ For the angle of pitch (robot is around the anglec of rotation of y-axis), it is default normal that γ is roll angle (robot is around the anglec of rotation of x-axis), λ Number.
Parameter acquiring unit 22 includes:
Parameter computation unit 221, for according to formula:
Calculating robot moves to moving speed estimation and the location estimation in next place respectively.Wherein, VxWRepresent machine Speed of the people under global coordinate system on x-axis direction, VyWRepresent the speed on y-axis direction, V under global coordinate systemzWRepresent global Speed under coordinate system on z-axis direction, Δ ωxwJ () represents under global coordinate system between x-axis direction j time point and j-1 time point Acceleration change value, Δ ωywAcceleration change between y-axis direction j time point and j-1 time point under (j) expression global coordinate system Value, Δ ωzwJ () represents acceleration change value, k, k+1 table between z-axis direction j time point and j-1 time point under global coordinate system Show current point in time and future time point, xwRepresent the position on x-axis direction, y under global coordinate systemwRepresent y under global coordinate system Position on direction of principal axis, zwRepresent the position on z-axis direction, T under global coordinate system2Represent the calculating cycle of navigator fix, T1Table The sensor sample cycle is shown as, n is constant, and T2=n*T1.So, Then represent current time respectively Point (k time point), speed of future time point (k+1 time point) robot under global coordinate system in all directions,Then represent current point in time (k time point), future time point (k+1 time point) robot complete respectively Coordinate under office's coordinate system in all directions.
In embodiments of the present invention, each unit of the updating device can be realized by corresponding hardware or software unit, each list Unit can be independent soft and hardware unit, it is also possible to be integrated into a soft and hardware unit of robot, here is not in order to limit The present invention.
Presently preferred embodiments of the present invention is the foregoing is only, not in order to limit the present invention, all essences in the present invention Any modification, equivalent and improvement that is made within god and principle etc., should be included within the scope of the present invention.

Claims (10)

1. a kind of update method in robot planning path, it is characterised in that methods described comprises the steps:
Obtain the present carrier coordinate in robot moving process in real time, the present carrier coordinate is transformed to the robot Current world coordinatess;
According to the current world coordinatess and current translational speed, the translational speed that the robot moves to next place is calculated Estimate and location estimation;
The three-dimensional coordinate point for representing pixel in barrier depth image in the robot is obtained, by the three-dimensional Coordinate points are converted to two-dimensional coordinate point, to obtain the projected outline of barrier in the robot;
The angle point of barrier in the surrounding is obtained according to the two-dimensional coordinate point;
The path planning of the robot is updated according to the angle point of the location estimation and the barrier.
2. the method for claim 1, it is characterised in that obtain the present carrier coordinate in robot moving process in real time The step of before, methods described also includes:
Carrier coordinate system and the global coordinate system of the robot are built in advance.
3. method as claimed in claim 2, it is characterised in that the present carrier coordinate is transformed to working as the robot The step of front world coordinatess, including:
According to formulaThe current world coordinatess of the robot are calculated, wherein,For present carrier coordinate, Wherein ψ is course angle, and it is roll angle that θ is the angle of pitch, γ, and λ is default constant.
4. method as claimed in claim 3, it is characterised in that calculate the translational speed that the robot moves to next place The step of estimation and location estimation, including:
According to formula:
Moving speed estimation and location estimation that the robot move to next place, wherein, V are calculated respectivelyxWRepresent global Speed under coordinate system on x-axis direction, VyWRepresent the speed on y-axis direction, V under global coordinate systemzWRepresent under global coordinate system Speed on z-axis direction, Δ ωxwJ () represents that under global coordinate system, between x-axis direction j time point and j-1 time point, acceleration becomes Change value, Δ ωywJ () represents acceleration change value, Δ ω between y-axis direction j time point and j-1 time point under global coordinate systemzw J acceleration change value between z-axis direction j time point and j-1 time point under () expression global coordinate system, when k, k+1 represent current Between point and future time point, T2Represent the calculating cycle of navigator fix, T1It is expressed as sensor sample cycle, T2=n*T1.
5. the method for claim 1, it is characterised in that obtain and represent barrier depth in the robot The three-dimensional coordinate point of pixel in image, the step of the three-dimensional coordinate point is converted to two-dimensional coordinate point, including:
The depth information of pixel, latitude information and longitudinal axis information in the depth image are converted into point-like cloud data;
According to default conversion relation and the point-like cloud data, barrier in the expression robot is calculated Three-dimensional coordinate point;
According to default projection relation between three-dimensional coordinate and two-dimensional coordinate, the three-dimensional coordinate point is converted to two-dimensional coordinate Point.
6. the method for claim 1, it is characterised in that obtained in the surrounding according to the two-dimensional coordinate point and hinder Hinder thing angle point the step of, including:
The correlation matrix of each two-dimensional coordinate point is calculated using default window function;
The Harris angle point response of each two-dimensional coordinate point is calculated according to the correlation matrix;
A non-maxima suppression is done in Harris angle point response to each two-dimensional coordinate point, with the two dimension in preset window Maximum point is looked in coordinate points;
When the Harris angle point response of the two-dimensional coordinate point in the preset window is more than default threshold values and the two-dimensional coordinate The Harris angle point response of point is the local maximum in the preset window, and the two-dimensional coordinate point is defined as the surrounding ring The angle point of barrier in border.
7. a kind of updating device in robot planning path, it is characterised in that described device includes:
Coordinate transformation unit, for obtaining the present carrier coordinate in robot moving process in real time, the present carrier is sat Mark is transformed to the current world coordinatess of the robot;
Parameter acquiring unit, moves to for according to the current world coordinatess and current translational speed, calculating the robot The moving speed estimation and location estimation in next place;
Coordinate transformation unit, for obtaining the three-dimensional for representing pixel in barrier depth image in the robot Coordinate points, the three-dimensional coordinate point are converted to two-dimensional coordinate point, to obtain the throwing of barrier in the robot Shadow profile;
Angle point acquiring unit, for obtaining the angle point of barrier in the surrounding according to the two-dimensional coordinate point;And
Routing update unit, for updating the planning road of the robot according to the angle point of the location estimation and the barrier Footpath.
8. device as claimed in claim 7, it is characterised in that described device also includes:
Coordinate system construction unit, for building carrier coordinate system and the global coordinate system of the robot in advance.
9. device as claimed in claim 8, it is characterised in that the coordinate transformation unit includes:
Coordinate computation subunit, for according to formulaThe current world coordinatess of the robot are calculated, Wherein,For present carrier coordinate,
10. device as claimed in claim 9, it is characterised in that the parameter acquiring unit includes:
Parameter computation unit, for according to formula:
Moving speed estimation and location estimation that the robot move to next place are calculated respectively.
CN201610843839.0A 2016-09-23 2016-09-23 Method and device for updating planned path of robot Pending CN106441275A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201610843839.0A CN106441275A (en) 2016-09-23 2016-09-23 Method and device for updating planned path of robot
PCT/CN2017/085352 WO2018054080A1 (en) 2016-09-23 2017-05-22 Method and device for updating planned path of robot

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610843839.0A CN106441275A (en) 2016-09-23 2016-09-23 Method and device for updating planned path of robot

Publications (1)

Publication Number Publication Date
CN106441275A true CN106441275A (en) 2017-02-22

Family

ID=58166445

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610843839.0A Pending CN106441275A (en) 2016-09-23 2016-09-23 Method and device for updating planned path of robot

Country Status (2)

Country Link
CN (1) CN106441275A (en)
WO (1) WO2018054080A1 (en)

Cited By (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106292673A (en) * 2016-09-29 2017-01-04 深圳大学 A kind of method for optimizing route and system
CN106909149A (en) * 2017-03-14 2017-06-30 深圳蓝因机器人科技有限公司 A kind of method and device of depth camera avoidance
CN106919260A (en) * 2017-03-07 2017-07-04 百度在线网络技术(北京)有限公司 Web page operation method and apparatus
CN107229903A (en) * 2017-04-17 2017-10-03 深圳奥比中光科技有限公司 Method, device and the storage device of robot obstacle-avoiding
CN107608392A (en) * 2017-09-19 2018-01-19 浙江大华技术股份有限公司 The method and apparatus that a kind of target follows
CN107678405A (en) * 2017-08-22 2018-02-09 广东美的智能机器人有限公司 Robot ride method and its device
WO2018054080A1 (en) * 2016-09-23 2018-03-29 深圳大学 Method and device for updating planned path of robot
CN108151742A (en) * 2017-11-20 2018-06-12 北京理工华汇智能科技有限公司 The data processing method and its intelligent apparatus of robot navigation
CN108256430A (en) * 2017-12-20 2018-07-06 北京理工大学 Obstacle information acquisition methods, device and robot
CN108445503A (en) * 2018-03-12 2018-08-24 吉林大学 The unmanned path planning algorithm merged with high-precision map based on laser radar
CN108733011A (en) * 2017-04-18 2018-11-02 富士通株式会社 Nonvolatile computer readable storage medium, robot traveling time method of estimation and device
CN110220524A (en) * 2019-04-23 2019-09-10 炬星科技(深圳)有限公司 Paths planning method, electronic equipment, robot and computer readable storage medium
CN110362098A (en) * 2018-03-26 2019-10-22 北京京东尚科信息技术有限公司 Unmanned plane vision method of servo-controlling, device and unmanned plane
CN110587622A (en) * 2019-09-09 2019-12-20 深圳市三宝创新智能有限公司 Old-people-and-disabled-helping robot with wheelchair
CN111652113A (en) * 2020-05-29 2020-09-11 北京百度网讯科技有限公司 Obstacle detection method, apparatus, device, and storage medium
CN111897361A (en) * 2020-08-05 2020-11-06 广州市赛皓达智能科技有限公司 Unmanned aerial vehicle autonomous route planning method and system
CN112070782A (en) * 2020-08-31 2020-12-11 腾讯科技(深圳)有限公司 Method and device for identifying scene contour, computer readable medium and electronic equipment
CN112074383A (en) * 2018-05-01 2020-12-11 X开发有限责任公司 Robot navigation using 2D and 3D path planning
CN112506189A (en) * 2020-11-19 2021-03-16 深圳优地科技有限公司 Method for controlling robot to move
CN112631266A (en) * 2019-09-20 2021-04-09 杭州海康机器人技术有限公司 Method and device for mobile robot to sense obstacle information
CN113446971A (en) * 2020-03-25 2021-09-28 扬智科技股份有限公司 Space recognition method, electronic device, and non-transitory computer-readable storage medium
CN114167871A (en) * 2021-12-06 2022-03-11 北京云迹科技有限公司 Obstacle detection method and device, electronic equipment and storage medium

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111061270B (en) * 2019-12-18 2023-12-29 深圳拓邦股份有限公司 Full coverage method, system and operation robot
CN112711255B (en) * 2020-12-24 2024-01-19 南方科技大学 Mobile robot obstacle avoidance method, control equipment and storage medium
CN112833898B (en) * 2020-12-30 2023-03-21 清华大学 ROS-oriented unmanned vehicle backing method
CN112987734B (en) * 2021-02-23 2023-05-02 京东科技信息技术有限公司 Robot travel method, robot travel device, electronic device, storage medium, and program product
CN113034579B (en) * 2021-03-08 2023-11-24 江苏集萃微纳自动化系统与装备技术研究所有限公司 Dynamic obstacle track prediction method of mobile robot based on laser data
CN113177980B (en) * 2021-04-29 2023-12-26 北京百度网讯科技有限公司 Target object speed determining method and device for automatic driving and electronic equipment
CN114326710B (en) * 2021-12-04 2024-05-24 深圳市普渡科技有限公司 Robot, robot travel strategy determination method, apparatus and storage medium
CN114211173B (en) * 2022-01-27 2024-05-31 上海电气集团股份有限公司 Method, device and system for determining welding position
CN115657674B (en) * 2022-10-26 2023-05-05 宝开(上海)智能物流科技有限公司 Distributed path planning method and device based on graph neural network
CN116380110B (en) * 2023-06-07 2023-08-04 上海伯镭智能科技有限公司 Real-time path planning method based on big data unmanned vehicle
CN117315175B (en) * 2023-09-28 2024-05-14 广东拓普视科技有限公司 Composition positioning device and method based on robot

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101769754A (en) * 2010-01-19 2010-07-07 湖南大学 Quasi three-dimensional map-based mobile robot global path planning method
CN102866706A (en) * 2012-09-13 2013-01-09 深圳市银星智能科技股份有限公司 Cleaning robot adopting smart phone navigation and navigation cleaning method thereof
CN103076619A (en) * 2012-12-27 2013-05-01 山东大学 System and method for performing indoor and outdoor 3D (Three-Dimensional) seamless positioning and gesture measuring on fire man
CN103413306A (en) * 2013-08-01 2013-11-27 西北工业大学 Self-adaptation threshold value Harris corner detection method
CN104268138A (en) * 2014-05-15 2015-01-07 西安工业大学 Method for capturing human motion by aid of fused depth images and three-dimensional models
CN104346608A (en) * 2013-07-26 2015-02-11 株式会社理光 Sparse depth map densing method and device
CN104697526A (en) * 2015-03-26 2015-06-10 上海华测导航技术股份有限公司 Strapdown inertial navitation system and control method for agricultural machines

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10027952B2 (en) * 2011-08-04 2018-07-17 Trx Systems, Inc. Mapping and tracking system with features in three-dimensional space
CN105222760A (en) * 2015-10-22 2016-01-06 一飞智控(天津)科技有限公司 The autonomous obstacle detection system of a kind of unmanned plane based on binocular vision and method
CN106441275A (en) * 2016-09-23 2017-02-22 深圳大学 Method and device for updating planned path of robot

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101769754A (en) * 2010-01-19 2010-07-07 湖南大学 Quasi three-dimensional map-based mobile robot global path planning method
CN102866706A (en) * 2012-09-13 2013-01-09 深圳市银星智能科技股份有限公司 Cleaning robot adopting smart phone navigation and navigation cleaning method thereof
CN103076619A (en) * 2012-12-27 2013-05-01 山东大学 System and method for performing indoor and outdoor 3D (Three-Dimensional) seamless positioning and gesture measuring on fire man
CN104346608A (en) * 2013-07-26 2015-02-11 株式会社理光 Sparse depth map densing method and device
CN103413306A (en) * 2013-08-01 2013-11-27 西北工业大学 Self-adaptation threshold value Harris corner detection method
CN104268138A (en) * 2014-05-15 2015-01-07 西安工业大学 Method for capturing human motion by aid of fused depth images and three-dimensional models
CN104697526A (en) * 2015-03-26 2015-06-10 上海华测导航技术股份有限公司 Strapdown inertial navitation system and control method for agricultural machines

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
DENG GENQIANG ET AL.: "SLAM :Depth Image Information for Mapping and Inertial Navigation System Localization", 《2016 ASIA-PACIFIC CONFERENCE ON INTELLIGENCE ROBOT SYSTEMS》 *

Cited By (34)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018054080A1 (en) * 2016-09-23 2018-03-29 深圳大学 Method and device for updating planned path of robot
CN106292673A (en) * 2016-09-29 2017-01-04 深圳大学 A kind of method for optimizing route and system
CN106292673B (en) * 2016-09-29 2019-02-12 深圳大学 A kind of method for optimizing route and system
CN106919260A (en) * 2017-03-07 2017-07-04 百度在线网络技术(北京)有限公司 Web page operation method and apparatus
CN106909149B (en) * 2017-03-14 2020-09-22 深圳蓝因机器人科技有限公司 Method and device for avoiding obstacles by depth camera
CN106909149A (en) * 2017-03-14 2017-06-30 深圳蓝因机器人科技有限公司 A kind of method and device of depth camera avoidance
CN107229903A (en) * 2017-04-17 2017-10-03 深圳奥比中光科技有限公司 Method, device and the storage device of robot obstacle-avoiding
CN108733011B (en) * 2017-04-18 2020-12-15 富士通株式会社 Non-transitory computer-readable storage medium, robot movement time estimation method and apparatus
CN108733011A (en) * 2017-04-18 2018-11-02 富士通株式会社 Nonvolatile computer readable storage medium, robot traveling time method of estimation and device
CN107678405A (en) * 2017-08-22 2018-02-09 广东美的智能机器人有限公司 Robot ride method and its device
CN107608392A (en) * 2017-09-19 2018-01-19 浙江大华技术股份有限公司 The method and apparatus that a kind of target follows
CN108151742A (en) * 2017-11-20 2018-06-12 北京理工华汇智能科技有限公司 The data processing method and its intelligent apparatus of robot navigation
CN108256430A (en) * 2017-12-20 2018-07-06 北京理工大学 Obstacle information acquisition methods, device and robot
CN108256430B (en) * 2017-12-20 2021-01-29 北京理工大学 Obstacle information acquisition method and device and robot
CN108445503A (en) * 2018-03-12 2018-08-24 吉林大学 The unmanned path planning algorithm merged with high-precision map based on laser radar
CN110362098A (en) * 2018-03-26 2019-10-22 北京京东尚科信息技术有限公司 Unmanned plane vision method of servo-controlling, device and unmanned plane
CN110362098B (en) * 2018-03-26 2022-07-05 北京京东尚科信息技术有限公司 Unmanned aerial vehicle visual servo control method and device and unmanned aerial vehicle
CN112074383A (en) * 2018-05-01 2020-12-11 X开发有限责任公司 Robot navigation using 2D and 3D path planning
CN110220524A (en) * 2019-04-23 2019-09-10 炬星科技(深圳)有限公司 Paths planning method, electronic equipment, robot and computer readable storage medium
WO2020215901A1 (en) * 2019-04-23 2020-10-29 炬星科技(深圳)有限公司 Path planning method, electronic device, robot and computer-readable storage medium
CN110587622A (en) * 2019-09-09 2019-12-20 深圳市三宝创新智能有限公司 Old-people-and-disabled-helping robot with wheelchair
JP2022548743A (en) * 2019-09-20 2022-11-21 杭州海康机器人股▲ふん▼有限公司 Obstacle information sensing method and device for mobile robot
JP7314411B2 (en) 2019-09-20 2023-07-25 杭州海康机器人股▲ふん▼有限公司 Obstacle information sensing method and device for mobile robot
CN112631266A (en) * 2019-09-20 2021-04-09 杭州海康机器人技术有限公司 Method and device for mobile robot to sense obstacle information
CN113446971B (en) * 2020-03-25 2023-08-08 扬智科技股份有限公司 Space recognition method, electronic device and non-transitory computer readable storage medium
CN113446971A (en) * 2020-03-25 2021-09-28 扬智科技股份有限公司 Space recognition method, electronic device, and non-transitory computer-readable storage medium
CN111652113A (en) * 2020-05-29 2020-09-11 北京百度网讯科技有限公司 Obstacle detection method, apparatus, device, and storage medium
US11688177B2 (en) 2020-05-29 2023-06-27 Apollo Intelligent Connectivity (Beijing) Technology Co., Ltd. Obstacle detection method and device, apparatus, and storage medium
CN111897361A (en) * 2020-08-05 2020-11-06 广州市赛皓达智能科技有限公司 Unmanned aerial vehicle autonomous route planning method and system
CN111897361B (en) * 2020-08-05 2023-08-22 广州市赛皓达智能科技有限公司 Unmanned aerial vehicle autonomous route planning method and system
CN112070782A (en) * 2020-08-31 2020-12-11 腾讯科技(深圳)有限公司 Method and device for identifying scene contour, computer readable medium and electronic equipment
CN112070782B (en) * 2020-08-31 2024-01-09 腾讯科技(深圳)有限公司 Method, device, computer readable medium and electronic equipment for identifying scene contour
CN112506189A (en) * 2020-11-19 2021-03-16 深圳优地科技有限公司 Method for controlling robot to move
CN114167871A (en) * 2021-12-06 2022-03-11 北京云迹科技有限公司 Obstacle detection method and device, electronic equipment and storage medium

Also Published As

Publication number Publication date
WO2018054080A1 (en) 2018-03-29

Similar Documents

Publication Publication Date Title
CN106441275A (en) Method and device for updating planned path of robot
EP3715785B1 (en) Slam assisted ins
Thrun et al. Scan alignment and 3-D surface modeling with a helicopter platform
Wang et al. A simple and parallel algorithm for real-time robot localization by fusing monocular vision and odometry/AHRS sensors
Atia et al. Integrated indoor navigation system for ground vehicles with automatic 3-D alignment and position initialization
CN111156998B (en) Mobile robot positioning method based on RGB-D camera and IMU information fusion
CN106225790B (en) A kind of determination method and device of unmanned vehicle positioning accuracy
WO2021114764A1 (en) Map correction method and system based on local map
Georgiev et al. Localization methods for a mobile robot in urban environments
CN106123908B (en) Automobile navigation method and system
CN103412565B (en) A kind of robot localization method with the quick estimated capacity of global position
Lee et al. Robust mobile robot localization using optical flow sensors and encoders
JP5930346B2 (en) Autonomous mobile system and control device
CN107478214A (en) A kind of indoor orientation method and system based on Multi-sensor Fusion
CN110243358A (en) The unmanned vehicle indoor and outdoor localization method and system of multi-source fusion
CN108235735A (en) Positioning method and device, electronic equipment and computer program product
CN109166140A (en) A kind of vehicle movement track estimation method and system based on multi-line laser radar
CN105953796A (en) Stable motion tracking method and stable motion tracking device based on integration of simple camera and IMU (inertial measurement unit) of smart cellphone
CN103207634A (en) Data fusion system and method of differential GPS (Global Position System) and inertial navigation in intelligent vehicle
CN106197428A (en) A kind of SLAM method utilizing metrical information Optimum distribution formula EKF estimation procedure
JP2023164553A (en) Position estimation device, estimation device, control method, program and storage medium
Yang et al. Enhanced 6D measurement by integrating an Inertial Measurement Unit (IMU) with a 6D sensor unit of a laser tracker
Niu et al. Camera-based lane-aided multi-information integration for land vehicle navigation
Gao et al. Localization of mobile robot based on multi-sensor fusion
CN111673729B (en) Path determination method

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20170222