WO2016041110A1 - 一种飞行器的飞行控制方法及相关装置 - Google Patents
一种飞行器的飞行控制方法及相关装置 Download PDFInfo
- Publication number
- WO2016041110A1 WO2016041110A1 PCT/CN2014/086474 CN2014086474W WO2016041110A1 WO 2016041110 A1 WO2016041110 A1 WO 2016041110A1 CN 2014086474 W CN2014086474 W CN 2014086474W WO 2016041110 A1 WO2016041110 A1 WO 2016041110A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- data
- flight
- aircraft
- environment
- location
- Prior art date
Links
- RZVHIXYEVGDQDX-UHFFFAOYSA-N 9,10-anthraquinone Chemical compound C1=CC=C2C(=O)C3=CC=CC=C3C(=O)C2=C1 RZVHIXYEVGDQDX-UHFFFAOYSA-N 0.000 title claims abstract description 75
- 238000000034 method Methods 0.000 title claims abstract description 66
- 230000007613 environmental effect Effects 0.000 claims description 150
- 238000004891 communication Methods 0.000 claims description 27
- 238000001514 detection method Methods 0.000 claims description 13
- 230000008569 process Effects 0.000 claims description 9
- 238000012217 deletion Methods 0.000 claims description 6
- 230000037430 deletion Effects 0.000 claims description 6
- 230000000977 initiatory effect Effects 0.000 claims description 5
- 238000007726 management method Methods 0.000 abstract description 24
- 238000013439 planning Methods 0.000 abstract description 3
- 230000006870 function Effects 0.000 description 6
- 230000004927 fusion Effects 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 230000010006 flight Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 238000004904 shortening Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
- G08G5/0047—Navigation or guidance aids for a single aircraft
- G08G5/0069—Navigation or guidance aids for a single aircraft specially adapted for an unmanned aircraft
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64C—AEROPLANES; HELICOPTERS
- B64C13/00—Control systems or transmitting systems for actuating flying-control surfaces, lift-increasing flaps, air brakes, or spoilers
- B64C13/02—Initiating means
- B64C13/04—Initiating means actuated personally
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64C—AEROPLANES; HELICOPTERS
- B64C39/00—Aircraft not otherwise provided for
- B64C39/02—Aircraft not otherwise provided for characterised by special use
- B64C39/024—Aircraft not otherwise provided for characterised by special use of the remote controlled vehicle type, i.e. RPV
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64D—EQUIPMENT FOR FITTING IN OR TO AIRCRAFT; FLIGHT SUITS; PARACHUTES; ARRANGEMENTS OR MOUNTING OF POWER PLANTS OR PROPULSION TRANSMISSIONS IN AIRCRAFT
- B64D43/00—Arrangements or adaptations of instruments
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/0011—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/10—Simultaneous control of position or course in three dimensions
- G05D1/101—Simultaneous control of position or course in three dimensions specially adapted for aircraft
- G05D1/102—Simultaneous control of position or course in three dimensions specially adapted for aircraft specially adapted for vertical take-off of aircraft
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/10—Simultaneous control of position or course in three dimensions
- G05D1/101—Simultaneous control of position or course in three dimensions specially adapted for aircraft
- G05D1/106—Change initiated in response to external conditions, e.g. avoidance of elevated terrain or of no-fly zones
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
- G08G5/003—Flight plan management
- G08G5/0034—Assembly of a flight plan
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
- G08G5/0047—Navigation or guidance aids for a single aircraft
- G08G5/006—Navigation or guidance aids for a single aircraft in accordance with predefined flight zones, e.g. to avoid prohibited zones
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
- G08G5/0073—Surveillance aids
- G08G5/0082—Surveillance aids for monitoring traffic from a ground station
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
- G08G5/04—Anti-collision systems
- G08G5/045—Navigation or guidance aids, e.g. determination of anti-collision manoeuvers
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64U—UNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
- B64U2201/00—UAVs characterised by their flight controls
- B64U2201/20—Remote controls
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/005—General purpose rendering architectures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T19/00—Manipulating 3D models or images for computer graphics
- G06T19/20—Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T50/00—Aeronautics or air transport
- Y02T50/40—Weight reduction
Definitions
- the present invention relates to the field of electronic technologies, and in particular, to a flight control method and related device for an aircraft.
- the aircraft is powered by aerodynamic engines, power systems consisting of motors and propellers, and machines that allow the body to move away from the ground in the air.
- the UAV Unmanned Aerial Vehicle
- the UAV is an aircraft that can perform various flight actions and missions automatically or semi-automatically under the coordinated air of electronic equipment.
- UAVs In order to better adapt to the environment during flight, existing UAVs generally deploy various sensors such as cameras and ultrasonics to facilitate the acquisition of flight indication data and analysis of flight indication data, based on the analysis results. To control flight, such as to achieve flight control operations such as avoiding obstacles. Mounting various sensors greatly increases the cost of the aircraft, and increases the size and weight of the entire drone, shortening the life of the drone.
- the technical problem to be solved by the embodiments of the present invention is to provide a flight control method and related device for an aircraft, which can realize flight control of the drone at low cost and ensure the duration of the aircraft to a certain extent.
- the present invention provides a flight control method for an aircraft, comprising:
- the flight indication data comprising: flight indication data detected by other drones, or flight indication data provided by an external memory;
- a flight control command is generated based on the received flight instruction data to control flight of the aircraft.
- the method before the receiving the flight indication data in the current environment, the method further includes:
- a download request for requesting download of flight indication data from the server is sent to the external memory, the download request including current location information.
- the receiving the flight indication data in the current environment comprises: receiving flight indication data of an environment in which the current location broadcast by the other drone is located at a preset frequency.
- the generating the flight control instruction according to the received flight instruction data includes:
- a flight control command is generated based on the received flight instruction data.
- the generating the flight control instruction according to the received flight instruction data includes:
- a flight control command is generated based on the determined environmental map and the current position of the aircraft.
- the generating the flight control instruction according to the received flight instruction data includes:
- the flight indication data includes obstacle data for indicating obstacle avoidance flight, calculating a distance value between the aircraft and the obstacle edge according to the obstacle position information in the obstacle data, the current coordinate position and height of the aircraft And generating an obstacle avoidance flight instruction according to the calculated distance value;
- flight path data is included in the flight indication data
- a flight control command is generated based on the flight path data and the coordinate position of the aircraft itself to facilitate flight along the path indicated by the flight path data.
- the generating the flight control instruction according to the received flight instruction data includes:
- the aircraft base station data includes location data of an aircraft base station.
- the generating the flight control instruction according to the received flight instruction data includes:
- the flight indication data includes the no-fly zone indication information, determining a minimum distance from the no-fly zone boundary indicated by the no-fly zone indication information according to the current location;
- a flight control command is generated for controlling the aircraft to fly away from the no-fly zone.
- the method further includes:
- the detected environmental data is sent to an external memory of the target address, or the detected environmental data is broadcasted according to a preset frequency.
- an embodiment of the present invention provides a method for processing flight data, including:
- the environmental data including image data of the environment, location data;
- the environmental data is processed according to the location area according to the location data included in the received environmental data, and flight indication data corresponding to the location area is obtained.
- the method further includes:
- the found flight indication data is encapsulated according to the negotiated data format, and the encapsulated flight indication data is sent to the aircraft initiating the download request.
- processing according to the location data included in the received environment data, processing the environment data according to the location area, and obtaining flight indication data of the corresponding location area, including:
- the updated three-dimensional environment map is used as flight indication data corresponding to the location area.
- processing according to the location data included in the received environment data, processing the environment data according to the location area, and obtaining flight indication data of the corresponding location area, including:
- the method further includes:
- the storage management rule is set based on any one or a combination of the reception time of the environmental data, the image quality of the image data in the environment data, and the difference of the image content in the environment data with the same content;
- the distance value between the collection location points of any two environment data is less than a preset distance threshold, and the relative environment direction of any two environment data is The difference between the acquired azimuth angles is smaller than the preset angle threshold; or, in the environmental data similar to the content included in the same data set, the image similarity of any two image data reaches a preset similarity threshold.
- processing according to the location data included in the received environment data, processing the environment data according to the location area, and obtaining flight indication data of the corresponding location area, including:
- each optimal environment data is processed according to the location area, and flight indication data corresponding to the location area is obtained;
- the selection rule is set based on any one or a combination of the reception time of the environment data, the image quality of the image data in the environment data, and the difference of the image content in the environment data with the same content.
- an embodiment of the present invention further provides an aircraft, including: a communication device and a flight controller,
- the flight controller is configured to generate a flight control instruction according to the flight indication data in the current environment received by the communication device to control flight of the aircraft; the flight indication data includes: detected by other drones Flight indication data, or flight indication data provided by an external memory.
- the flight controller is further configured to: during flight, determine whether the flight indication data of the environment where the current location is stored is stored; if not, send, by the communication device, the request for the The external memory downloads a download request of the flight instruction data, and the download request includes location information of the current environment.
- the flight controller is further configured to control, at a preset frequency, the flight instruction data of the environment in which the communication module receives the current location broadcast by other drones.
- the flight controller is specifically configured to detect whether the current location is located in the received location area in the flight indication data; if yes, generate a flight control instruction according to the received flight indication data.
- the flight controller is specifically configured to determine an environment map of the current environment according to the received flight instruction data; generate a flight control instruction according to the determined environment map and a current location of the aircraft, where the determined environment map includes a three-dimensional environment map.
- the flight controller is specifically configured to: if the flight indication data includes obstacle data for indicating obstacle avoidance flight, according to obstacle position information in the obstacle data, current coordinates of the aircraft Position and height, calculating a distance value between the aircraft and the edge of the obstacle, and generating an obstacle avoidance flight command according to the calculated distance value; if the flight indication data includes flight path data, according to the flight path data and the aircraft itself The coordinate position generates a flight control command to facilitate flight along the path indicated by the flight path data.
- the flight controller is specifically configured to detect endurance status information of the aircraft; and if the detected endurance status information satisfies a predetermined stop flight condition, extracting an aircraft base station included in the received flight instruction data Data; generating flight control commands to control flight and landing of the aircraft base station indicated by the aircraft to the aircraft base station data; the aircraft base station data including location data of the aircraft base station.
- the flight controller is specifically configured to: if the flight indication data includes the no-fly zone indication information, determine, according to the current location, a minimum boundary of the no-fly zone indicated by the no-fly zone indication information a distance; if the determined minimum distance is less than a preset distance threshold or the current position is within the no-fly zone, generating a flight control command for controlling the aircraft to fly away from the no-fly zone.
- the flight controller is further configured to collect environment data during flight; send the detected environment data to an external memory of the target address, or broadcast the detected environmental data according to a preset frequency. .
- the embodiment of the present invention further provides a server, including: a communication device, a processor,
- the communication device is configured to receive environment data collected and uploaded by various aircraft during a flight, where the environment data includes image data of the environment and location data;
- the processor is configured to process the environment data according to the location area according to the location data included in the received environment data, to obtain flight indication data of the corresponding location area.
- the processor is further configured to: when the communication device receives the download request for requesting download of the flight instruction data, search for the flight indication data of the corresponding location area according to the location information included in the download request.
- the found flight indication data is encapsulated according to the negotiated data format, and the encapsulated flight indication data is sent to the aircraft initiating the download request via the communication device.
- the processor is configured to: update the three-dimensional environment map of the corresponding location area according to the location data included in the received environment data; and use the updated three-dimensional environment map as the flight indication data of the corresponding location area. .
- the processor is specifically configured to determine a receiving time of the received environment data, and determine a latest of the map content of the area corresponding to the location data of the received environment data in the generated three-dimensional environment map. Updating the map of the corresponding location area in the generated three-dimensional environment map according to the environment data corresponding to the reception time of the latest update time, and using the updated three-dimensional environment map as a flight Indicate the data.
- the processor is further configured to store environment data with similar content in the same data set; and perform storage management on each data set according to preset storage management rules, where the storage management includes deleting the environmental data.
- Management wherein the storage management rule is set based on any one or more combinations of reception time of environment data, image quality of image data in environment data, and difference of image content in environment data with the same content;
- the distance between the collection location points of any two environmental data is less than the preset distance threshold, and the acquisition of any two environmental data relative to the reference direction
- the difference between the azimuth angles is smaller than the preset angle threshold; or, in the environmental data similar to the content included in the same data set, the image similarity of any two image data reaches a preset similarity threshold.
- the processor is specifically configured to select, according to a preset selection rule, optimal environmental data from each data set including the environment data; and according to the location data included in each selected optimal environmental data, Each optimal environment data is processed according to the location area to obtain flight indication data corresponding to the location area; wherein the selection rule is based on the reception time of the environmental data, the image quality of the image data in the environmental data, and the environmental data with the same content. Any one or more of the differences in image content are set.
- Embodiments of the present invention can complete control of own flight by means of relevant flight indication data shared from other aircraft or servers, so that the aircraft does not need to carry a large number of detection devices, reducing volume, weight, and increased cruising distance. And it reduces the cost of the aircraft.
- FIG. 1 is a schematic flow chart of a flight control method of an aircraft according to an embodiment of the present invention
- FIG. 2 is a schematic flow chart of another flight control method of an aircraft according to an embodiment of the present invention.
- FIG. 3 is a schematic flow chart of a method for generating a flight control instruction in an embodiment of the present invention
- FIG. 4 is another schematic flowchart of a method for generating a flight control instruction in an embodiment of the present invention
- FIG. 5 is a schematic flow chart of a flight data processing method according to an embodiment of the present invention.
- FIG. 6 is a schematic structural view of an aircraft according to an embodiment of the present invention.
- FIG. 7 is a schematic structural diagram of a server according to an embodiment of the present invention.
- the embodiment of the present invention is capable of acquiring flight indication data of a relevant location from a server or other unmanned aerial vehicle, and performing operations such as obstacle avoidance, automatic navigation, and planning a safe flight path based on the acquired flight instruction data, without deploying a camera, Distance detectors and other devices.
- the flight indication data involved in the embodiments of the present invention includes flight indication data in a certain area under a corresponding location, and specifically may be a three-dimensional environment map in a certain area, and the involved aircraft includes at least
- the function module for positioning for example, has a GPS (Global Positioning System) positioning module in order to determine the position of the aircraft and determine the flight indication data that needs to be acquired according to its position.
- GPS Global Positioning System
- FIG. 1 is a schematic flowchart of a flight control method of an aircraft according to an embodiment of the present invention.
- the method in the embodiment of the present invention may be implemented by a controller, and the controller may be a single The controller connected to the flight control of the aircraft, or it may be a flight controller disposed in the aircraft, or an intelligent mobile terminal configured to control flight of the aircraft.
- the method includes:
- S101 Receive flight indication data in a current environment, the flight indication data includes: flight indication data detected by other drones, or flight indication data provided by an external memory.
- the flight indication data may be three-dimensional environmental map data for indicating flight avoidance flight of the aircraft and flying according to the path. It can also be related data of various obstacles in the environment that may affect the flight of the aircraft, such as the size of the obstacle, the approximate range of coordinate positions, and the like.
- the external storage may be a pre-configured server. The following describes the server as an example.
- drones mainly refer to drones with various detection devices. These drones can detect environmental images and distance data in real time based on cameras, ultrasonic sensors, radar and other detection devices, and combine their own GPS-generated positioning. The data gets the environmental data of the area where a certain coordinate position is located. These drones can send the acquired environmental data to a designated server or a drone, or they can fuse the three-dimensional environment map of the environmental area where a coordinate position is located according to the acquired environmental data, and then the three-dimensional environment map. The environment map is sent to the designated server or drone as flight indication data for the corresponding location.
- the server can be an open server, which can receive environmental data uploaded by various types of drones, and store and manage the uploaded environmental data based on the location data in the environment data.
- the server can also fuse a relatively accurate three-dimensional environment map of certain location areas according to a large amount of environmental data and its corresponding location, and provide the three-dimensional environment map as flight indication data to some aircraft in need.
- the UAV corresponding to the controller executing the S101 may be a low-end drone that cannot detect the external environment.
- the control instruction may be directly executed using the three-dimensional environment map. Generate an operation.
- the received flight instruction data may also be other data, such as obstacle data, and the obstacle may be calculated according to the absolute coordinate position area of the obstacle data in the obstacle data and the position coordinates of the aircraft to complete the obstacle avoidance.
- the received flight instruction data may also be some original data, such as the original captured picture, the coordinate position at the time of shooting, etc.
- the controller may first perform a data fusion operation based on a large amount of original data to obtain a corresponding three-dimensional position at the current position.
- the environment map and further execute the corresponding instruction generation operation.
- generating a three-dimensional environment map according to environmental data including positions, a large number of images, and the like detected by various sensors is a prior art, and specifically, by performing a large number of three-dimensional images obtained at different positions in a certain area. The process of generating a three-dimensional environment map is not described here.
- the server or other drone can also update the existing three-dimensional environment map according to the environmental data of a certain location, so as to provide a three-dimensional environment map as the flight indication data to assist the low-end needs.
- Man-machine can also update the existing three-dimensional environment map according to the environmental data of a certain location, so as to provide a three-dimensional environment map as the flight indication data to assist the low-end needs.
- S102 Generate a flight control instruction according to the received flight instruction data to control flight of the aircraft.
- the controller may first generate a three-dimensional environment map based on the flight indication data of the original position, image, obstacle, etc., and then according to the three-dimensional The environment map generates corresponding flight control commands to complete obstacle avoidance, navigation, automatic addressing and other flights.
- the flight control command may be directly generated according to the aircraft base station data included in the flight instruction data to change the heading and altitude of the aircraft, and control the base station flight indicated by the data of the aircraft base station, where the aircraft base station data includes: position coordinate information of the aircraft base station, the aircraft
- the base station can be used as a landing platform for the aircraft, and can provide functions such as charging for the relevant aircraft.
- Embodiments of the present invention can complete control of own flight by means of relevant flight indication data shared from other aircraft or servers, so that the aircraft does not need to carry a large number of detection devices, reducing volume, weight, and increased cruising distance. And it reduces the cost of the aircraft.
- FIG. 2 is a schematic flowchart of another flight control method of an aircraft according to an embodiment of the present invention.
- the method of the embodiment of the present invention may be implemented by a controller, and the controller may specifically be a separate
- the flight controller of the aircraft is connected to the controller, or it may be a flight controller installed in the aircraft or an intelligent mobile terminal configured to control the flight of the aircraft.
- the method includes:
- S201 Determine whether the flight indication data of the environment where the current location is located is stored.
- the positional comparison of the existing data may be performed based on the current coordinate position acquired by the GPS of the aircraft, and it is determined whether the coordinate position falls within a certain smaller area enclosed by the coordinate position data in the existing data. If the result of the determination is YES, it is determined that there is flight indication data of the environment in which the current location is located, and if the determination result is no, the flight indication data of the environment in which the current location is located is not stored.
- the S201 may be repeatedly executed a plurality of times to accurately determine whether or not data of the current environment is stored.
- the flight indication data includes: flight indication data detected by other drones, or flight indication data provided by an external memory.
- the specific manner in which the S202 receives the flight indication data may include: sending a download request for requesting download of flight indication data from the server to an external memory, where the download request includes current location information.
- the S202 includes: receiving flight indication data of an environment in which the current location broadcast by other drones is located at a preset frequency.
- the flight request data of the download request and the broadcast can be simultaneously sent to the server to obtain relevant information, preferably data provided by the server, in a more timely and accurate manner.
- the download request may be specifically a request for requesting a flight path
- the server searches for the stored related environment map based on the location information in the download request. Then plan a flight path and reply to the aircraft.
- S203 Generate a flight control instruction according to the received flight instruction data to control flight of the aircraft.
- the current location is located in the received location area in the flight indication data, that is, whether the current location is located in the received location area described in the flight indication data. If in the described location area, the received flight indication data is determined to be flight indication data for the desired location, thereby generating a flight control command based on the received flight indication data. If it is not the flight indication data of the desired location, you can request the download again from the server.
- the requesting or listening flight indication data may be a three-dimensional environment map
- the generating the flight control instruction according to the received flight indication data may specifically include: determining an environment of the current environment according to the received flight indication data.
- the map, the determined environment map includes a three-dimensional environment map; and the flight control instruction is generated according to the determined environment map and the current position of the aircraft. That is, the three-dimensional environment map is directly extracted from the flight instruction data to assist the flight, or the flight indication data is related data of the three-dimensional environment map, and after the relevant data is extracted, some data restoration operations are further performed to determine the three-dimensional environment map.
- the generating the flight control instruction according to the received flight indication data may further include: if the flight indication data includes the no-fly zone indication information, determining the no-fly zone indication information according to the current location. a minimum distance of the indicated no-fly zone boundary; if the determined minimum distance is less than a preset distance threshold or the current location is within the no-fly zone, generating flight control for controlling the aircraft to fly away from the no-fly zone instruction.
- the method of the embodiment of the present invention may further include: calling the detecting module to collect environment data during the flight; sending the detected environment data to an external memory of the target address, or broadcasting the detected according to a preset frequency.
- Environmental data That is, for an aircraft having a detection module, it may also collect various flight indication data through the detection module, and upload the collected one or more flight indication data to the server, so that the server performs corresponding data management or fusion.
- a three-dimensional environmental map that facilitates the next flight or other aircraft flight.
- the obtained flight control instruction may further be based on the three-dimensional environment map, generating a flight control instruction for avoiding obstacles, an instruction for adjusting flight of the flight route, and the like.
- the received flight indication data may be obstacle data, flight path data, and the like in addition to the environmental map data described above.
- FIG. 3 it is a method for generating a flight control instruction according to an embodiment of the present invention.
- One of the flowcharts of the embodiment of the present invention includes:
- S301 Determine a data object included in the flight indication data.
- the format of the flight indication data may be negotiated by the server with various types of aircraft, and the data objects that can be carried include: the above-mentioned three-dimensional environment map data, and obstacle data, flight path data, aircraft base station data, no-fly zone data, and the like.
- the flight indication data includes obstacle data for indicating obstacle avoidance flight, calculate an aircraft and an edge of the obstacle according to the obstacle position information in the obstacle data, the current coordinate position and height of the aircraft. Distance value.
- the obstacle data described in this embodiment refers to related data of a plurality of obstacles in the environment area, specifically, an absolute coordinate position (range position) of each obstacle, and the present invention is quickly calculated in the S302.
- the coordinate position of the obstacle refers to a three-dimensional coordinate set including three-axis coordinates of X, Y, and Z.
- the obstacle avoidance flight command includes instructions such as flight direction and angle, and these commands are sent to the power components of the aircraft to complete the obstacle avoidance flight.
- the flight indication data is directly the flight path data, based on the current coordinates and altitude of the controlled aircraft, first generate a corresponding flight control command to adjust the aircraft to the corresponding flight path, and then generate a flight control command based on the flight path data.
- the aircraft is flying along this path.
- the flight path data may specifically include some GPS coordinate points and corresponding height values, and a flight control instruction for adjusting the height and the coordinate position needs to be generated.
- the flight indication data includes aircraft base station data
- the aircraft base station data may include The location coordinates of the location where the aircraft base station is located, the aircraft base station can serve as a landing platform for the aircraft, and can provide charging functions for the aircraft.
- the method of the embodiment of the present invention includes:
- S401 Detecting the endurance status information of the aircraft.
- the battery life can be determined by detecting the remaining battery capacity to determine the possible battery life.
- the aircraft base station data is extracted from the received flight instruction data.
- S403 Generate a flight control command to control flight and landing of the aircraft base station indicated by the aircraft to the aircraft base station data; the aircraft base station data includes location data of the aircraft base station.
- the aircraft can be docked at the aircraft base station to charge to continue flying after charging is completed, or to dock on the aircraft base station to facilitate recovery or to avoid falling and injuring the aircraft when there is no power.
- Embodiments of the present invention can complete control of own flight by means of relevant flight indication data shared from other aircraft or servers, so that the aircraft does not need to carry a large number of detection devices, reducing volume, weight, and increased cruising distance. And it reduces the cost of the aircraft.
- FIG. 5 is a schematic flowchart of a method for processing a flight data according to an embodiment of the present invention.
- the method in the embodiment of the present invention may be implemented by a server for managing an aircraft. Specifically, the method includes:
- S501 Receive environmental data collected and uploaded by various aircraft during the flight, where the environmental data includes image data and location data corresponding to an environment in which the aircraft is located.
- S502 Process the environmental data according to the location area according to the location data included in the received environment data, to obtain flight indication data corresponding to the location area.
- a three-dimensional environment map of the relevant area may be pre-configured in the server, and the pre-configured three-dimensional environment map is updated based on the environmental data received in the S501, for example, based on the received image data and location data, the configured The map content of the corresponding location in the three-dimensional environment map is updated, and the updated three-dimensional environment map can be used as flight indication data of the corresponding location area.
- the server can also generate a new three-dimensional environment map based on a large amount of environmental data.
- a large amount of environmental data at different locations and different orientations of certain regions may be acquired in the S501, and based on the environmental data, the server may generate a three-dimensional environment map of a certain target region.
- the target area may be a pre-defined area, and an area is specifically defined based on the GPS location coordinates. If the coordinates indicated by the location data in the environmental data are in the area, the environmental data may be determined as the environmental data of the target area. After obtaining a large amount of environmental data, a three-dimensional environment map of the area can be generated.
- the S502 may be an update process for the existing data, and the S502 may specifically include: updating the three-dimensional environment map of the corresponding location area according to the location data included in the received environment data; The subsequent three-dimensional environment map serves as flight indication data corresponding to the location area.
- the updating process of the S502 may be: determining a receiving time of the received environment data; and determining a map of the area corresponding to the location data of the received environment data in the generated three-dimensional environment map.
- the latest update time of the content updating the map of the corresponding location area in the generated three-dimensional environment map according to the environmental data corresponding to the reception time of the latest update time, and updating the updated three-dimensional environment
- the map serves as flight indication data for the location area.
- storage management may be performed, so that when a certain update period comes, the flight indication data such as the generated three-dimensional environment map may be updated according to the stored environmental data.
- the method further includes: storing environmental data with similar content in the same data set; and collecting each data set according to the preset storage management rule Performing storage management, the storage management including deletion management of environmental data; wherein the storage management rule is based on reception time of environmental data, image quality of image data in environmental data, and difference of image content in environmental data with the same content
- the distance between the collection location points of any two environmental data is less than a preset distance threshold
- the difference between the acquired azimuth angles of any two environmental data relative to the reference direction is less than a preset angle threshold
- any two image data Image similarity reaches a preset similarity threshold
- the distance between the collection location points of any two environmental data is less than the preset distance threshold, and the image similarity of any two image data reaches a preset similarity threshold
- the environmental data content is similar according to the position and the shooting direction included in the environmental data, in the same small spatial position range, and a small shooting direction angle range (including an absolute direction angle, for example, facing the north direction)
- the image data captured within the range of the left and right angles of 5 degrees can be regarded as the same environmental data.
- the images taken by the two drones at the same GPS coordinate position toward the north direction are considered to be images of the same content.
- the images with the same content can be stored in the same data set, so that when the flight indication data such as the three-dimensional environment map is merged, an optimal image can be found and merged.
- the storage management rule may include: the current time value is always stored in the data set, and the recently received environmental data is stored, and the environmental data that is earlier than the current time value is deleted, for example, the environmental data before one month is deleted. That is, the rule of advanced deletion first.
- the method may include: detecting image quality of all environmental data in the data set, including detecting quality parameters such as sharpness, and storing only high-quality environmental data, such as storing only images whose pixel values reach a certain threshold.
- the method may include: determining an object contour included in each image in the data set based on pixel values of the image in the environment data, and comparing the object contours in the respective images according to the position in the image, deleting the object contour and other majority Images with different images.
- the image number threshold may be set, and if one or more images do not coincide with other multiple (quantity threshold) images, the image is deleted, for example, among 10 images (environment data) judged to be the same, There is an outline of the object of the bird, and the other nine are not, then the image with the outline of the bird object is deleted.
- the storage management rule may also be determined by combining two or three of the above several methods, for example, combining the time and the quality to comprehensively determine that only the image whose quality is better than a certain threshold from the current time is saved. It may also include comprehensively determining based on the difference of the contours of the objects in each image and the receiving time.
- the threshold is greater than the preset similarity threshold, for example, the similarity is less than 95%
- the two images may be directly deleted and not included in the data set, and conversely, if the two images are received at a longer interval, for example, If the threshold is greater than the threshold of the preset day, the image similarity reaches a certain threshold (for example, 60%), and the two images are determined to be similar to the environment data, and are stored in the corresponding data set, and are not deleted.
- processing according to the location data included in the received environment data, processing the environment data according to the location area to obtain flight indication data corresponding to the location area, including: following each of the preset selection rules Selecting the optimal environment data in the data set including the environment data; processing the respective optimal environment data according to the location area according to the location data included in each selected optimal environment data, and obtaining flight indication data corresponding to the location area;
- the selection rule is set based on any one or more combinations of reception time of environmental data, image quality of image data in environmental data, and difference of image content in environmental data of the same content.
- the selection rule may be: always selecting the most recently received environmental data as the optimal environmental data according to the current time value, for example, selecting the most optimal environmental data of the environmental data just received. Or it may refer to: detecting the image quality of all environmental data in the data set, including the detection of quality parameters such as sharpness, and selecting the most optimal environmental data of the highest quality environmental data. Or it may be: determining an object contour included in each image in the data set based on pixel values of the image in the environment data, and comparing the contours of the objects in the respective images according to the position in the image, and selecting the contour with the clearest contour The image is the most optimal environmental data.
- the selection rule may also be a combination of two or three of the above several methods, for example, combining the time and the quality to comprehensively judge, and selecting the image with the highest quality in the image within a certain time period from the current time threshold is optimal.
- Environmental data for example, combining the time and the quality to comprehensively judge, and selecting the image with the highest quality in the image within a certain time period from the current time threshold is optimal.
- S504 Encapsulate the found flight instruction data according to the negotiated data format, and send the encapsulated flight indication data to the aircraft that initiates the download request.
- Embodiments of the present invention may store and manage flight indication data collected by various aircraft so that certain aircrafts may be provided with relevant flight indication data when needed, so that they can be better based on the flight indication data. Perform operations such as obstacle avoidance, planning safe routes, and finding landing sites.
- FIG. 6 is a schematic structural diagram of an aircraft according to an embodiment of the present invention.
- the aircraft of the embodiment of the present invention includes an existing aircraft body, a power module, a power component, a rotor or a wing, and the like, and further includes a memory and a data.
- the bus or the like, in the embodiment of the present invention, the aircraft further includes: a communication device 100 and a flight controller 200, wherein the flight controller 200 can call a related application in the memory to perform different functions.
- the flight controller 200 is configured to generate a flight control instruction according to the flight indication data in the current environment received by the communication device 100 to control flight of the aircraft; the flight indication data includes: being detected by another drone The resulting flight indication data, or flight indication data provided by an external memory.
- the flight indication data may be three-dimensional environmental map data for indicating flight avoidance flight of the aircraft and flying according to the path. It can also be related data of various obstacles in the environment that may affect the flight of the aircraft, such as the size of the obstacle, the approximate range of coordinate positions, and the like.
- the external storage may be a pre-configured server. The following describes the server as an example.
- drones mainly refer to drones with various detection devices. These drones can detect the obtained environmental images and distance data in real time based on the detection devices such as cameras, ultrasonic sensors, and radars, and combine them with their own GPS. The data gets the environmental data of the area where a certain coordinate position is located. These drones can send the acquired environmental data to a designated server or a drone, or they can fuse the three-dimensional environment map of the environmental area where a coordinate position is located according to the acquired environmental data, and then the three-dimensional environment map. The environment map is sent to the designated server or drone as flight indication data for the corresponding location.
- the server can be an open server, which can receive various environmental data uploaded by various drones, and store and manage the uploaded environmental data based on the location data in the environmental data.
- the server can also fuse a relatively accurate three-dimensional environment map of certain location areas according to a large amount of environmental data and its corresponding location, and provide the three-dimensional environment map as flight indication data to some aircraft in need.
- the flight controller 200 is further configured to: during flight, determine whether the flight indication data of the environment where the current location is located is stored; if not, pass the communication
- the device 100 transmits a download request for requesting download of flight indication data from the external memory, the download request including location information of a current environment.
- a download request is sent to the external memory to download corresponding flight indication data from the external memory (server).
- the flight controller 200 is further configured to control, at a preset frequency, the flight instruction data of the environment in which the communication module receives the current location broadcast by other drones.
- the flight controller 200 may obtain the corresponding manner by means of the above-mentioned request downloading manner and/or listening to the broadcast of the nearby drone at a preset frequency. Flight indication data.
- the flight controller 200 is specifically configured to determine an environment map of the current environment according to the received flight instruction data; generate a flight control instruction according to the determined environment map and a current location of the aircraft, where the determined environment map includes three-dimensional Environmental map.
- the flight controller 200 is specifically configured to detect whether the current location is located in the received location area in the flight indication data; if yes, generate a flight control instruction according to the received flight indication data.
- the received flight instruction data includes a plurality of location information, and comprehensively determines whether the received data is a desired environmental location according to each location information.
- the flight controller 200 is specifically configured to: if the flight indication data includes obstacle data for indicating obstacle avoidance flight, according to obstacle position information in the obstacle data, current aircraft Calculating a distance value between the aircraft and the edge of the obstacle, and generating an obstacle avoidance flight command according to the calculated distance value; if the flight indication data includes flight path data, according to the flight path data and the aircraft itself The coordinate position generates a flight control command to facilitate flight along the path indicated by the flight path data.
- the flight controller 200 is specifically configured to detect the endurance status information of the aircraft; if the detected endurance status information satisfies a predetermined stop flight condition, extract the aircraft included in the received flight instruction data Base station data; generating flight control commands to control flight and landing of the aircraft base station indicated by the aircraft to the aircraft base station data; the aircraft base station data including location data of the aircraft base station.
- the flight controller 200 is specifically configured to: if the flight indication data includes the no-fly zone indication information, determine, according to the current location, a boundary of the no-fly zone indicated by the no-fly zone indication information a minimum distance; if the determined minimum distance is less than a preset distance threshold or the current position is within the no-fly zone, generating a flight control command for controlling the aircraft to fly away from the no-fly zone.
- the flight controller 200 is further configured to collect environmental data during flight; and send the detected environmental data to the external memory of the target address via the communication device 100, or control the communication device. 100 broadcasts the detected environmental data according to a preset frequency.
- Embodiments of the present invention can complete control of own flight by means of relevant flight indication data shared from other aircraft or servers, so that the aircraft does not need to carry a large number of detection devices, reducing volume, weight, and increased cruising distance. And it reduces the cost of the aircraft.
- FIG. 7 is a schematic structural diagram of a server according to an embodiment of the present invention.
- the server according to the embodiment of the present invention includes a server that can be used to manage a large number of aircrafts.
- the server includes: a communication device 300.
- the communication device 300 is configured to receive environment data collected and uploaded by various aircraft during a flight, where the environment data includes image data of the environment and location data;
- the processor 400 is configured to process the environment data according to the location area according to the location data included in the received environment data, to obtain flight indication data corresponding to the location area.
- the environment data includes a large amount of environment-related data, such as images, videos, and the like.
- the server may generate a three-dimensional environment map of the relevant area.
- the server may store the original environmental data according to the location area, or may only store the three-dimensional environment map calculated based on the fusion of the original original environmental data.
- the processor 400 is further configured to: when the communication device 300 receives the download request for requesting download of the flight instruction data, search for the flight indication data of the corresponding location area according to the location information included in the download request;
- the data format encapsulates the found flight indication data and transmits the encapsulated flight indication data via the communication device 300 to the aircraft initiating the download request.
- the server may only reply to the relevant environmental data as flight indication data, and the specific fusion to obtain the three-dimensional environment map or other data is implemented by the aircraft that initiates the download request.
- the aircraft requesting to download the flight instruction data only provides the three-dimensional environment map of the associated location area, for example, the three-dimensional environment map of the sphere space area within a radius of 100 meters centered on the coordinate position in the download request, Goodly reduce the amount of data that needs to be transferred so that the data can be delivered in a timely manner.
- the processor 400 is specifically configured to: update the three-dimensional environment map of the corresponding location area according to the location data included in the received environment data; and use the updated three-dimensional environment map as the flight indication of the corresponding location area. data.
- the processor 400 is specifically configured to determine a receiving time of the received environment data, and determine a map content of the area corresponding to the location data of the received environment data in the generated three-dimensional environment map.
- the latest update time updating the map of the corresponding location area in the generated three-dimensional environment map according to the environmental data corresponding to the reception time of the latest update time, and using the updated three-dimensional environment map as Flight indication data.
- the processor 400 is further configured to store environment data with similar content in the same data set; and perform storage management on each data set according to preset storage management rules, where the storage management includes environmental data. Deletion management; wherein the storage management rule is set based on any one or more combinations of reception time of environment data, image quality of image data in environment data, and difference of image content in environment data with the same content; In the environment data similar to the content included in the same data set, the distance value between the collection location points of any two environment data is less than a preset distance threshold, and the relative environment direction of any two environment data is The difference between the acquired azimuth angles is smaller than the preset angle threshold; or, in the environmental data similar to the content included in the same data set, the image similarity of any two image data reaches a preset similarity threshold.
- the processor 400 is specifically configured to select optimal environment data from each data set including the environment data according to a preset selection rule; and according to the location data included in each selected optimal environment data, Each optimal environment data is processed according to the location area to obtain flight indication data corresponding to the location area; wherein the selection rule is based on the reception time of the environmental data, the image quality of the image data in the environmental data, and the environmental data with the same content. Any one or more of the differences in image content are set.
- processor 400 may refer to the description corresponding to the related steps in the foregoing method items.
- Embodiments of the present invention can store and manage environmental data collected by various aircrafts, so that when required by certain aircraft, the aircrafts are provided with relevant environmental data support, so that they can better perform obstacle avoidance based on the environmental data. Plan safe routes, find landing locations, and more.
- the related apparatus and method disclosed may be implemented in other manners.
- the device embodiments described above are merely illustrative.
- the division of the modules or units is only a logical function division.
- there may be another division manner for example, multiple units or components may be used. Combinations can be integrated into another system, or some features can be ignored or not executed.
- the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.
- the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
- each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
- the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
- the integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium.
- the technical solution of the present invention which is essential or contributes to the prior art, or all or part of the technical solution, may be embodied in the form of a software product stored in a storage medium.
- a number of instructions are included to cause a computer processor to perform all or part of the steps of the methods described in various embodiments of the present invention.
- the foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like. .
Abstract
Description
Claims (32)
- 一种飞行器的飞行控制方法,其特征在于,包括:接收在当前环境下的飞行指示数据,所述飞行指示数据包括:由其他无人机探测得到的飞行指示数据、或者由外部存储器提供的飞行指示数据;根据接收到的飞行指示数据生成飞行控制指令,以控制飞行器的飞行。
- 如权利要求1所述的方法,其特征在于,所述接收在当前环境下的飞行指示数据之前,还包括:判断是否存储有当前位置所处环境的飞行指示数据;若不存在,则向外部存储器发送用于请求从所述服务器下载飞行指示数据的下载请求,所述下载请求中包括当前的位置信息。
- 如权利要求1所述的方法,其特征在于,所述接收在当前环境下的飞行指示数据,包括:以预设的频率接收由其他无人机广播的当前位置所处环境的飞行指示数据。
- 如权利要求1所述的方法,其特征在于,所述根据接收到的飞行指示数据生成飞行控制指令,包括:检测当前位置是否位于接收到的所述飞行指示数据中所描述的位置区域;若是,则根据接收到的飞行指示数据生成飞行控制指令。
- 如权利要求1所述的方法,其特征在于,所述根据接收到的飞行指示数据生成飞行控制指令,包括:根据接收到的飞行指示数据确定当前环境的环境地图,确定的环境地图包括三维环境地图;根据确定的环境地图和飞行器的当前位置生成飞行控制指令。
- 如权利要求1所述的方法,其特征在于,所述根据接收到的飞行指示数据生成飞行控制指令,包括:确定所述飞行指示数据中包括的数据对象;若所述飞行指示数据中包括用于指示避障飞行的障碍物数据,则根据该障碍物数据中的障碍物位置信息、飞行器当前的坐标位置及高度,计算飞行器与该障碍物边沿的距离值,并根据计算得到的距离值生成避障飞行指令;若所述飞行指示数据中包括飞行路径数据,则根据该飞行路径数据和飞行器自身的坐标位置生成飞行控制指令,以便于沿该飞行路径数据所指示的路径飞行。
- 如权利要求1所述的方法,其特征在于,所述根据接收到的飞行指示数据生成飞行控制指令,包括:检测飞行器的续航状态信息;若检测到的续航状态信息满足预定的停止飞行条件,则提取所述接收到的飞行指示数据中包括的飞行器基站数据;生成飞行控制指令以控制飞行器向所述飞行器基站数据所指示的飞行器基站飞行以及降落;所述飞行器基站数据包括飞行器基站的位置数据。
- 如权利要求1所述的方法,其特征在于,所述根据接收到的飞行指示数据生成飞行控制指令,包括:若所述飞行指示数据中包括禁飞区指示信息,则根据当前位置确定与所述禁飞区指示信息所指示的禁飞区域边界的最小距离;若确定出的最小距离小于预设的距离阈值或当前位置在所述禁飞区域内,则生成用于控制飞行器飞离所述禁飞区域的飞行控制指令。
- 如权利要求1至8任一项所述的方法,其特征在于,还包括:调用探测模块采集飞行过程中的环境数据;将探测到的环境数据发送给目标地址的外部存储器,或者按照预设的频率广播所述探测到的环境数据。
- 一种飞行数据处理方法,其特征在于,包括:接收各种飞行器在飞行过程中采集并上传的环境数据,所述环境数据包括环境的图像数据、位置数据;根据已接收到的环境数据中包括的位置数据,对所述环境数据按照位置区域进行处理,得到对应位置区域的飞行指示数据。
- 如权利要求10所述的方法,其特征在于,还包括:在接收到用于请求下载飞行指示数据的下载请求时,根据该下载请求中包括的位置信息,查找对应位置区域的飞行指示数据;按照协商的数据格式对查找到的飞行指示数据进行封装,并将封装后的飞行指示数据发送给发起所述下载请求的飞行器。
- 如权利要求10所述的方法,其特征在于,所述根据已接收到的环境数据中包括的位置数据,对所述环境数据按照位置区域进行处理,得到对应位置区域的飞行指示数据,包括:根据已接收到的环境数据中包括的位置数据,更新对应位置区域的三维环境地图;将更新后的三维环境地图作为对应位置区域的飞行指示数据。
- 如权利要求10所述的方法,其特征在于,所述根据已接收到的环境数据中包括的位置数据,对所述环境数据按照位置区域进行处理,得到对应位置区域的飞行指示数据,包括:确定已接收到的环境数据的接收时间;确定已生成的三维环境地图中该已接收到的环境数据的位置数据所对应区域的地图内容的最近更新时间;根据晚于所述最近更新时间的接收时间所对应的环境数据,对所述已生成的三维环境地图中对应位置区域的地图进行更新,并将更新后的所述三维环境地图作为飞行指示数据。
- 如权利要求10所述的方法,其特征在于,所述接收各种飞行器在飞行过程中采集并上传的环境数据之后,还包括:在同一个数据集合中存储内容相似的环境数据;根据预置的存储管理规则对各个数据集合进行存储管理,所述存储管理包括环境数据的删除管理;其中,所述存储管理规则是基于环境数据的接收时间、环境数据中图像数据的图像质量、以及内容相同的环境数据中图像内容的差异中任一种或者多种组合来设置的。
- 如权利要求14所述的方法,其特征在于,在所述同一个数据集合包括的内容相似的环境数据中,任意两个环境数据的采集位置点之间的距离值小于预置的距离阈值、且任意两个环境数据的相对于参考方向上的采集方位角度的差值小于预置的角度阈值。
- 如权利要求14所述的方法,其特征在于,在所述同一个数据集合包括的内容相似的环境数据中,任意两个图像数据的图像相似度达到预设的相似度阈值。
- 如权利要求14至16任一项所述的方法,其特征在于,所述根据已接收到的环境数据中包括的位置数据,对所述环境数据按照位置区域进行处理,得到对应位置区域的飞行指示数据,包括:按照预置的选取规则,从各个包括环境数据的数据集合中选取最优环境数据;根据选取的各个最优环境数据中包括的位置数据,对各个最优环境数据按照位置区域进行处理,得到对应位置区域的飞行指示数据;其中,所述选取规则是基于环境数据的接收时间、环境数据中图像数据的图像质量、以及内容相同的环境数据中图像内容的差异中任一种或者多种组合来设置的。
- 一种飞行器,其特征在于,包括:通信装置和飞行控制器,所述飞行控制器,用于根据所述通信装置接收到的在当前环境下的飞行指示数据生成飞行控制指令,以控制飞行器的飞行;所述飞行指示数据包括:由其他无人机探测得到的飞行指示数据、或者由外部存储器提供的飞行指示数据。
- 如权利要求18所述的飞行器,其特征在于,所述飞行控制器,还用于在飞行过程中,判断是否存储有当前位置所处环境的飞行指示数据;若不存在,通过所述通信装置发送用于请求从所述外部存储器下载飞行指示数据的下载请求,所述下载请求中包括当前环境的位置信息。
- 如权利要求18所述的飞行器,其特征在于,所述飞行控制器,还用于以预设的频率控制所述通信模块接收由其他无人机广播的当前位置所处环境的飞行指示数据。
- 如权利要求18所述的飞行器,其特征在于,所述飞行控制器,具体用于检测当前位置是否位于接收到的所述飞行指示数据中所描述的位置区域;若是,则根据接收到的飞行指示数据生成飞行控制指令。
- 如权利要求18所述的飞行器,其特征在于,所述飞行控制器,具体用于根据接收到的飞行指示数据确定当前环境的环境地图;根据确定的环境地图和飞行器的当前位置生成飞行控制指令,确定的环境地图包括三维环境地图。
- 如权利要求18所述的飞行器,其特征在于,所述飞行控制器,具体用于若所述飞行指示数据中包括用于指示避障飞行的障碍物数据,则根据该障碍物数据中的障碍物位置信息、飞行器当前的坐标位置及高度,计算飞行器与该障碍物边沿的距离值,并根据计算得到的距离值生成避障飞行指令;若所述飞行指示数据中包括飞行路径数据,则根据该飞行路径数据和飞行器自身的坐标位置生成飞行控制指令,以便于沿该飞行路径数据所指示的路径飞行。
- 如权利要求18所述的飞行器,其特征在于,所述飞行控制器,具体用于检测飞行器的续航状态信息;若检测到的续航状态信息满足预定的停止飞行条件,则提取所述接收到的飞行指示数据中包括的飞行器基站数据;生成飞行控制指令以控制飞行器向所述飞行器基站数据所指示的飞行器基站飞行以及降落;所述飞行器基站数据包括飞行器基站的位置数据。
- 如权利要求18所述的飞行器,其特征在于,所述飞行控制器,具体用于若所述飞行指示数据中包括禁飞区指示信息,则根据当前位置确定与所述禁飞区指示信息所指示的禁飞区域边界的最小距离;若确定出的最小距离小于预设的距离阈值或当前位置在所述禁飞区域内,则生成用于控制飞行器飞离所述禁飞区域的飞行控制指令。
- 如权利要求18所述的飞行器,其特征在于,所述飞行控制器,还用于采集飞行过程中的环境数据;将探测到的环境数据发送给目标地址的外部存储器,或者按照预设的频率广播所述探测到的环境数据。
- 一种服务器,其特征在于,包括:通信装置、处理器,所述通信装置,用于接收各种飞行器在飞行过程中采集并上传的环境数据,所述环境数据包括环境的图像数据、位置数据;所述处理器,用于根据已接收到的环境数据中包括的位置数据,对所述环境数据按照位置区域进行处理,得到对应位置区域的飞行指示数据。
- 如权利要求27所述的服务器,其特征在于,所述处理器,还用于在所述通信装置接收到用于请求下载飞行指示数据的下载请求时,根据该下载请求中包括的位置信息,查找对应位置区域的飞行指示数据;按照协商的数据格式对查找到的飞行指示数据进行封装,并将封装后的飞行指示数据经由所述通信装置发送给发起所述下载请求的飞行器。
- 如权利要求27所述的服务器,其特征在于,所述处理器,具体用于根据已接收到的环境数据中包括的位置数据,更新对应位置区域的三维环境地图;将更新后的三维环境地图作为对应位置区域的飞行指示数据。
- 如权利要求27所述的服务器,其特征在于,所述处理器,具体用于确定已接收到的环境数据的接收时间;确定已生成的三维环境地图中该已接收到的环境数据的位置数据所对应区域的地图内容的最近更新时间;根据晚于所述最近更新时间的接收时间所对应的环境数据,对所述已生成的三维环境地图中对应位置区域的地图进行更新,并将更新后的所述三维环境地图作为飞行指示数据。
- 如权利要求27所述的服务器,其特征在于,所述处理器,还用于在同一个数据集合中存储内容相似的环境数据;根据预置的存储管理规则对各个数据集合进行存储管理,所述存储管理包括环境数据的删除管理;其中,所述存储管理规则是基于环境数据的接收时间、环境数据中图像数据的图像质量、以及内容相同的环境数据中图像内容的差异中任一种或者多种组合来设置的;在所述同一个数据集合包括的内容相似的环境数据中,任意两个环境数据的采集位置点之间的距离值小于预置的距离阈值、且任意两个环境数据的相对于参考方向上的采集方位角度的差值小于预置的角度阈值;或者,在所述同一个数据集合包括的内容相似的环境数据中,任意两个图像数据的图像相似度达到预设的相似度阈值。
- 如权利要求31所述的服务器,其特征在于,所述处理器,具体用于按照预置的选取规则,从各个包括环境数据的数据集合中选取最优环境数据;根据选取的各个最优环境数据中包括的位置数据,对各个最优环境数据按照位置区域进行处理,得到对应位置区域的飞行指示数据;其中,所述选取规则是基于环境数据的接收时间、环境数据中图像数据的图像质量、以及内容相同的环境数据中图像内容的差异中任一种或者多种组合来设置的。
Priority Applications (8)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201480005442.3A CN105556408B (zh) | 2014-09-15 | 2014-09-15 | 一种飞行器的飞行控制方法及相关装置 |
JP2016535129A JP6210522B2 (ja) | 2014-09-15 | 2014-09-15 | 無人航空機の飛行制御方法、飛行データ処理方法、無人航空機、およびサーバ |
PCT/CN2014/086474 WO2016041110A1 (zh) | 2014-09-15 | 2014-09-15 | 一种飞行器的飞行控制方法及相关装置 |
CN201810042582.8A CN108132678B (zh) | 2014-09-15 | 2014-09-15 | 一种飞行器的飞行控制方法及相关装置 |
US15/457,803 US10325505B2 (en) | 2014-09-15 | 2017-03-13 | Aerial vehicle flight control method and device thereof |
US16/432,049 US10943495B2 (en) | 2014-09-15 | 2019-06-05 | Aerial vehicle flight control method and device thereof |
US17/195,611 US11776413B2 (en) | 2014-09-15 | 2021-03-08 | Aerial vehicle flight control method and device thereof |
US18/479,377 US20240029573A1 (en) | 2014-09-15 | 2023-10-02 | Aerial vehicle flight control method and device thereof |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/CN2014/086474 WO2016041110A1 (zh) | 2014-09-15 | 2014-09-15 | 一种飞行器的飞行控制方法及相关装置 |
Related Child Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US15/457,803 Continuation US10325505B2 (en) | 2014-09-15 | 2017-03-13 | Aerial vehicle flight control method and device thereof |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2016041110A1 true WO2016041110A1 (zh) | 2016-03-24 |
Family
ID=55532407
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/CN2014/086474 WO2016041110A1 (zh) | 2014-09-15 | 2014-09-15 | 一种飞行器的飞行控制方法及相关装置 |
Country Status (4)
Country | Link |
---|---|
US (4) | US10325505B2 (zh) |
JP (1) | JP6210522B2 (zh) |
CN (2) | CN108132678B (zh) |
WO (1) | WO2016041110A1 (zh) |
Cited By (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106297237A (zh) * | 2016-08-17 | 2017-01-04 | 联想(北京)有限公司 | 一种控制方法及电子设备 |
CN106406343A (zh) * | 2016-09-23 | 2017-02-15 | 北京小米移动软件有限公司 | 无人飞行器的控制方法、装置和系统 |
WO2017197556A1 (en) * | 2016-05-16 | 2017-11-23 | SZ DJI Technology Co., Ltd. | Systems and methods for coordinating device actions |
CN107466469A (zh) * | 2017-02-17 | 2017-12-12 | 深圳前海达闼云端智能科技有限公司 | 地图绘制方法、其云端平台及服务器 |
CN108268048A (zh) * | 2016-12-30 | 2018-07-10 | 昊翔电能运动科技(昆山)有限公司 | 无人机训飞操控方法和无人机训飞操控装置 |
JP2018112495A (ja) * | 2017-01-12 | 2018-07-19 | イームズロボティクス株式会社 | 飛行システム、飛行管理方法及び飛行プログラム |
CN108319297A (zh) * | 2018-04-04 | 2018-07-24 | 湖南丰茂植保机械有限公司 | 一种智能声波害虫诱杀系统 |
CN108351652A (zh) * | 2017-12-26 | 2018-07-31 | 深圳市道通智能航空技术有限公司 | 无人飞行器路径规划方法、装置和飞行管理方法、装置 |
CN108496213A (zh) * | 2017-04-09 | 2018-09-04 | 深圳市大疆创新科技有限公司 | 一种飞行处理方法及控制设备 |
CN108513645A (zh) * | 2017-06-28 | 2018-09-07 | 深圳市大疆创新科技有限公司 | 一种控制无人机的方法、设备、系统及存储介质 |
CN108780459A (zh) * | 2017-12-29 | 2018-11-09 | 深圳市大疆创新科技有限公司 | 无人机控制方法和装置 |
WO2020063655A1 (zh) * | 2018-09-30 | 2020-04-02 | 华为技术有限公司 | 飞行器的控制方法及装置 |
WO2022027596A1 (zh) * | 2020-08-07 | 2022-02-10 | 深圳市大疆创新科技有限公司 | 可移动平台的控制方法、装置、计算机可读存储介质 |
Families Citing this family (51)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105283384B (zh) | 2013-05-03 | 2018-03-27 | 威罗门飞行公司 | 垂直起落(vtol)飞行器 |
WO2016041110A1 (zh) * | 2014-09-15 | 2016-03-24 | 深圳市大疆创新科技有限公司 | 一种飞行器的飞行控制方法及相关装置 |
JP6294487B2 (ja) * | 2014-09-30 | 2018-03-14 | エスゼット ディージェイアイ テクノロジー カンパニー リミテッドSz Dji Technology Co.,Ltd | 飛行ミッション処理方法、装置及びシステム |
WO2016130721A2 (en) | 2015-02-11 | 2016-08-18 | Aerovironment, Inc. | Survey migration system for vertical take-off and landing (vtol) unmanned aerial vehicles (uavs) |
WO2016130847A1 (en) | 2015-02-11 | 2016-08-18 | Aerovironment, Inc. | Pod launch and landing system for vertical take-off and landing (vtol) unmanned aerial vehicles (uavs) |
US9880563B2 (en) | 2015-02-11 | 2018-01-30 | Aerovironment, Inc. | Geographic survey system for vertical take-off and landing (VTOL) unmanned aerial vehicles (UAVs) |
US10850866B2 (en) | 2015-02-11 | 2020-12-01 | Aerovironment, Inc. | Pod cover system for a vertical take-off and landing (VTOL) unmanned aerial vehicle (UAV) |
US11021266B2 (en) * | 2015-02-11 | 2021-06-01 | Aerovironment, Inc. | Pod operating system for a vertical take-off and landing (VTOL) unmanned aerial vehicle (UAV) |
US10627821B2 (en) * | 2016-04-22 | 2020-04-21 | Yuneec International (China) Co, Ltd | Aerial shooting method and system using a drone |
WO2018006216A1 (en) | 2016-07-04 | 2018-01-11 | SZ DJI Technology Co., Ltd. | Aerial operation support and real-time management |
CN109562844B (zh) * | 2016-08-06 | 2022-03-01 | 深圳市大疆创新科技有限公司 | 自动着陆表面地形评估以及相关的系统和方法 |
US10679509B1 (en) * | 2016-09-20 | 2020-06-09 | Amazon Technologies, Inc. | Autonomous UAV obstacle avoidance using machine learning from piloted UAV flights |
EP3398023A4 (en) | 2016-09-27 | 2018-12-19 | SZ DJI Technology Co., Ltd. | Component and user management for uav systems |
CN106444848B (zh) * | 2016-11-28 | 2018-11-30 | 广州极飞科技有限公司 | 控制无人机飞行的方法及装置 |
CN109964193A (zh) * | 2017-02-27 | 2019-07-02 | 深圳市大疆创新科技有限公司 | 无人机、控制无人机的方法及系统 |
WO2018158927A1 (ja) * | 2017-03-02 | 2018-09-07 | エスゼット ディージェイアイ テクノロジー カンパニー リミテッド | 3次元形状推定方法、飛行体、モバイルプラットフォーム、プログラム及び記録媒体 |
CN110249604B (zh) | 2017-03-21 | 2023-01-13 | 深圳市大疆创新科技有限公司 | 监控方法和系统 |
JP6335354B1 (ja) * | 2017-03-25 | 2018-05-30 | 株式会社Aerial Lab Industries | ルート管理制御サーバ、方法及びシステム並びにこれに用いられる第1飛行体及び第2飛行体 |
KR101788721B1 (ko) * | 2017-04-12 | 2017-10-23 | 그리드스페이스(주) | 무선통신망 기반의 무인비행체 자동운항 운영 방법 및 시스템 |
CN106950994A (zh) * | 2017-05-04 | 2017-07-14 | 陕西舜洋电子科技有限公司 | 净空空域无人机管理装置 |
CN106950993A (zh) * | 2017-05-04 | 2017-07-14 | 陕西舜洋电子科技有限公司 | 净空空域航迹可控的无人机 |
CN106933250A (zh) * | 2017-05-04 | 2017-07-07 | 陕西舜洋电子科技有限公司 | 净空空域无人机管理方法 |
CN110192161B (zh) * | 2017-05-31 | 2022-04-22 | 深圳市大疆创新科技有限公司 | 使用射线投射映射来操作可移动平台的方法和系统 |
CN109564435A (zh) * | 2017-07-18 | 2019-04-02 | 深圳市大疆创新科技有限公司 | 限飞数据的更新方法及装置 |
WO2019023914A1 (zh) * | 2017-07-31 | 2019-02-07 | 深圳市大疆创新科技有限公司 | 一种图像处理方法、无人机、地面控制台及其图像处理系统 |
RU2667654C1 (ru) * | 2017-08-04 | 2018-09-21 | Акционерное общество "Научно-производственная фирма "Меридиан" | Система управления полётами, заходом на посадку и посадкой вертолетов для оборудования стартовых командных пунктов надводных кораблей и диспетчерских пунктов, размещаемых на судах и морских платформах |
CN111164527B (zh) * | 2017-08-11 | 2022-04-19 | 联想(北京)有限公司 | 生成地理围栏数据 |
KR102013358B1 (ko) * | 2017-09-19 | 2019-08-26 | 한국항공우주산업 주식회사 | 비가시권에서의 무인이동체 비행제어 시스템 |
US10794712B2 (en) * | 2017-09-21 | 2020-10-06 | Getac Technology Corporation | Dynamic target coverage using mobile assets |
US10725468B2 (en) * | 2017-11-13 | 2020-07-28 | Intel IP Corporation | Bounding-volume based unmanned aerial vehicle illumination management system |
JP6962812B2 (ja) * | 2017-12-26 | 2021-11-05 | エスゼット ディージェイアイ テクノロジー カンパニー リミテッドSz Dji Technology Co., Ltd | 情報処理装置、飛行制御指示方法、プログラム、及び記録媒体 |
JPWO2019159420A1 (ja) * | 2018-02-15 | 2021-01-14 | 株式会社日立国際電気 | 移動体運行管理システムおよび移動体 |
JP7067130B2 (ja) * | 2018-03-07 | 2022-05-16 | カシオ計算機株式会社 | 自律移動装置、メモリ整理方法及びプログラム |
US11148805B2 (en) * | 2018-04-10 | 2021-10-19 | Government Of The United States, As Represented By The Secretary Of The Army | Enclosure for an unmanned aerial system |
US20210216085A1 (en) * | 2018-06-04 | 2021-07-15 | Nileworks Inc. | Drone system, drone, steering device, drone system control method, and drone system control program |
WO2020042117A1 (zh) | 2018-08-30 | 2020-03-05 | 北京小米移动软件有限公司 | 无人机飞行路径提供方法、获取方法、装置及系统 |
CN109417421B (zh) * | 2018-09-27 | 2021-08-03 | 北京小米移动软件有限公司 | 无人机飞行路径提供方法、装置及系统 |
CN109532361A (zh) * | 2019-01-07 | 2019-03-29 | 深圳墨菲航空科技有限公司 | 载人陆空两栖飞行器及其群控系统 |
US11105921B2 (en) * | 2019-02-19 | 2021-08-31 | Honeywell International Inc. | Systems and methods for vehicle navigation |
CN110299030B (zh) * | 2019-06-28 | 2021-11-19 | 汉王科技股份有限公司 | 手持终端、飞行器及其空域测量方法、控制方法 |
JP7041111B2 (ja) * | 2019-10-15 | 2022-03-23 | 本田技研工業株式会社 | 管理装置 |
CN112313597A (zh) * | 2019-11-21 | 2021-02-02 | 深圳市大疆创新科技有限公司 | 飞行器控制方法、设备、系统及存储介质 |
CN113012477B (zh) * | 2019-11-29 | 2023-01-17 | 北京二郎神科技有限公司 | 飞行路径的获取方法、飞行管道的生成方法、装置及设备 |
CN111091622B (zh) * | 2019-12-16 | 2022-07-01 | 广东省科学院广州地理研究所 | 一种无人机巡检航线构建方法 |
WO2021212501A1 (zh) * | 2020-04-24 | 2021-10-28 | 深圳市大疆创新科技有限公司 | 轨迹生成方法、遥控终端、可移动平台、系统及计算机可读存储介质 |
WO2022000222A1 (zh) * | 2020-06-30 | 2022-01-06 | 深圳市大疆创新科技有限公司 | 信息处理方法、无人机、服务器及存储介质 |
CN112509381B (zh) * | 2020-10-16 | 2022-03-11 | 广州飞图信息科技有限公司 | 一种无人机航线信号盲区的可视化显示方法及装置 |
CN113257045A (zh) * | 2021-07-14 | 2021-08-13 | 四川腾盾科技有限公司 | 一种基于大型固定翼无人机电子围栏的无人机控制方法 |
CN113468287B (zh) * | 2021-09-03 | 2022-03-29 | 广东汇天航空航天科技有限公司 | 飞行数据处理方法、计算设备、飞行器及其降落系统 |
CN114371735B (zh) * | 2022-01-07 | 2023-11-03 | 广东汇天航空航天科技有限公司 | 一种飞行器地理围栏数据处理方法及系统 |
CN115662198B (zh) * | 2022-12-28 | 2023-03-10 | 中国电子科技集团公司第二十八研究所 | 基于动态路径规划场的穿越民航航路方法及系统 |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2000147085A (ja) * | 1998-11-11 | 2000-05-26 | Kansai Electric Power Co Inc:The | 3次元自動移動体、3次元自動運航飛行体、自動気象観測飛行船、自動大気調査飛行船および猛禽類自動観察飛行船 |
CN201000576Y (zh) * | 2007-01-26 | 2008-01-02 | 青岛天骄无人机遥感技术有限公司 | 无人机飞行控制系统 |
CN102289230A (zh) * | 2010-06-18 | 2011-12-21 | Nes&Tec有限公司 | 一种用于无人驾驶飞行器的飞行高度控制装置 |
CN102495634A (zh) * | 2011-12-07 | 2012-06-13 | 中国南方航空工业(集团)有限公司 | 无人机的控制方法和装置及无人机的操作装置 |
CN102749847A (zh) * | 2012-06-26 | 2012-10-24 | 清华大学 | 多无人机协同着陆方法 |
CN202563322U (zh) * | 2012-03-30 | 2012-11-28 | 成都九华圆通科技发展有限公司 | 一种无线电监测无人机地面设备 |
Family Cites Families (66)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH11139396A (ja) * | 1997-11-10 | 1999-05-25 | Makoto Toyama | 編隊飛行制御装置 |
JP2992883B2 (ja) * | 1998-03-11 | 1999-12-20 | 北海道 | 移動ロボットの環境地図作成方法 |
JP2003004352A (ja) | 2001-06-20 | 2003-01-08 | Hitachi Ltd | レシプロ式圧縮機 |
JPWO2003004352A1 (ja) * | 2001-07-06 | 2004-10-21 | セイコーエプソン株式会社 | 飛行船システム |
US6474603B1 (en) * | 2001-09-25 | 2002-11-05 | Sikorsky Aircraft Corporation | Flight control system for a hybrid aircraft in the pitch axis |
US20030222981A1 (en) * | 2002-06-04 | 2003-12-04 | Kisak Jeffrey James | Locomotive wireless video recorder and recording system |
US9873442B2 (en) * | 2002-06-04 | 2018-01-23 | General Electric Company | Aerial camera system and method for identifying route-related hazards |
EP1761741A2 (en) * | 2004-02-06 | 2007-03-14 | Icosystem Corporation | Methods and systems for area search using a plurality of unmanned vehicles |
JP4630146B2 (ja) * | 2005-07-11 | 2011-02-09 | 本田技研工業株式会社 | 位置管理システムおよび位置管理プログラム |
US9047717B2 (en) * | 2006-09-25 | 2015-06-02 | Appareo Systems, Llc | Fleet operations quality management system and automatic multi-generational data caching and recovery |
JP5140887B2 (ja) * | 2006-11-07 | 2013-02-13 | 株式会社小松製作所 | 無人車両の誘導走行制御方法および制御装置 |
WO2009045580A1 (en) * | 2007-06-15 | 2009-04-09 | Mountaintop Technologies, Inc. | Aviation ground navigation system |
US8028952B2 (en) * | 2008-03-31 | 2011-10-04 | The Boeing Company | System for shipboard launch and recovery of unmanned aerial vehicle (UAV) aircraft and method therefor |
US8626361B2 (en) * | 2008-11-25 | 2014-01-07 | Honeywell International Inc. | System and methods for unmanned aerial vehicle navigation |
US10027952B2 (en) * | 2011-08-04 | 2018-07-17 | Trx Systems, Inc. | Mapping and tracking system with features in three-dimensional space |
US9250073B2 (en) * | 2011-09-02 | 2016-02-02 | Trimble Navigation Limited | Method and system for position rail trolley using RFID devices |
CN102591358B (zh) * | 2012-03-12 | 2015-07-08 | 北京航空航天大学 | 一种多无人机的动态编队控制方法 |
US20140327733A1 (en) * | 2012-03-20 | 2014-11-06 | David Wagreich | Image monitoring and display from unmanned vehicle |
US8781650B2 (en) * | 2012-04-12 | 2014-07-15 | The Boeing Company | Aircraft navigation system |
CN102707724B (zh) * | 2012-06-05 | 2015-01-14 | 清华大学 | 一种无人机的视觉定位与避障方法及系统 |
USD689087S1 (en) * | 2012-08-01 | 2013-09-03 | Smartplane, Inc. | Avionics display screen with graphical user interface |
DE202013012541U1 (de) * | 2012-11-15 | 2017-06-27 | SZ DJI Technology Co., Ltd. | Unbemanntes Luftfahrzeug mit mehreren Rotoren |
US10279906B2 (en) * | 2012-12-19 | 2019-05-07 | Elwha Llc | Automated hazard handling routine engagement |
US9810789B2 (en) * | 2012-12-19 | 2017-11-07 | Elwha Llc | Unoccupied flying vehicle (UFV) location assurance |
US9527587B2 (en) * | 2012-12-19 | 2016-12-27 | Elwha Llc | Unoccupied flying vehicle (UFV) coordination |
US9567074B2 (en) * | 2012-12-19 | 2017-02-14 | Elwha Llc | Base station control for an unoccupied flying vehicle (UFV) |
US9235218B2 (en) * | 2012-12-19 | 2016-01-12 | Elwha Llc | Collision targeting for an unoccupied flying vehicle (UFV) |
US9540102B2 (en) * | 2012-12-19 | 2017-01-10 | Elwha Llc | Base station multi-vehicle coordination |
US9405296B2 (en) * | 2012-12-19 | 2016-08-02 | Elwah LLC | Collision targeting for hazard handling |
US9669926B2 (en) * | 2012-12-19 | 2017-06-06 | Elwha Llc | Unoccupied flying vehicle (UFV) location confirmance |
US9747809B2 (en) * | 2012-12-19 | 2017-08-29 | Elwha Llc | Automated hazard handling routine activation |
JP6014485B2 (ja) * | 2012-12-21 | 2016-10-25 | セコム株式会社 | 自律飛行ロボット |
US8930044B1 (en) * | 2012-12-28 | 2015-01-06 | Google Inc. | Multi-part navigation process by an unmanned aerial vehicle for navigating to a medical situatiion |
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 |
US8862285B2 (en) * | 2013-02-15 | 2014-10-14 | Disney Enterprises, Inc. | Aerial display system with floating pixels |
US9075415B2 (en) * | 2013-03-11 | 2015-07-07 | Airphrame, Inc. | Unmanned aerial vehicle and methods for controlling same |
US9126694B2 (en) * | 2013-07-15 | 2015-09-08 | Honeywell International Inc. | Display systems and methods for providing displays having an integrated autopilot functionality |
US9216745B2 (en) * | 2013-09-16 | 2015-12-22 | Disney Enterprises, Inc. | Shared control of semi-autonomous vehicles including collision avoidance in multi-agent scenarios |
US9562771B2 (en) * | 2013-12-18 | 2017-02-07 | Sharper Shape Ltd | Analysis of sensor data |
US9947229B2 (en) * | 2013-12-19 | 2018-04-17 | International Business Machines Corporation | Managing flight paths of a soaring aircraft |
CN103872795B (zh) * | 2014-03-17 | 2016-06-01 | 王洋 | 用于无人飞机的充电系统 |
CN104007766A (zh) * | 2014-03-24 | 2014-08-27 | 深圳市大疆创新科技有限公司 | 无人飞行器飞行控制方法及装置 |
WO2015175440A1 (en) * | 2014-05-12 | 2015-11-19 | Unmanned Innovation, Inc. | Unmanned aerial vehicle authorization and geofence envelope determination |
US9454151B2 (en) * | 2014-05-20 | 2016-09-27 | Verizon Patent And Licensing Inc. | User interfaces for selecting unmanned aerial vehicles and mission plans for unmanned aerial vehicles |
US9583006B2 (en) * | 2014-05-20 | 2017-02-28 | Verizon Patent And Licensing Inc. | Identifying unmanned aerial vehicles for mission performance |
US9646283B2 (en) * | 2014-05-20 | 2017-05-09 | Verizon Patent And Licensing Inc. | Secure payload deliveries via unmanned aerial vehicles |
US9334052B2 (en) * | 2014-05-20 | 2016-05-10 | Verizon Patent And Licensing Inc. | Unmanned aerial vehicle flight path determination, optimization, and management |
US9412279B2 (en) * | 2014-05-20 | 2016-08-09 | Verizon Patent And Licensing Inc. | Unmanned aerial vehicle network-based recharging |
US9569972B2 (en) * | 2014-05-20 | 2017-02-14 | Verizon Patent And Licensing Inc. | Unmanned aerial vehicle identity and capability verification |
US9783293B2 (en) * | 2014-05-20 | 2017-10-10 | Verizon Patent And Licensing Inc. | Unmanned aerial vehicle platform |
US9881021B2 (en) * | 2014-05-20 | 2018-01-30 | Verizon Patent And Licensing Inc. | Utilization of third party networks and third party unmanned aerial vehicle platforms |
US9542850B2 (en) * | 2014-05-20 | 2017-01-10 | Verizon Patent And Licensing Inc. | Secure communications with unmanned aerial vehicles |
US9671790B2 (en) * | 2014-05-20 | 2017-06-06 | Verizon Patent And Licensing Inc. | Scheduling of unmanned aerial vehicles for mission performance |
US9875454B2 (en) * | 2014-05-20 | 2018-01-23 | Verizon Patent And Licensing Inc. | Accommodating mobile destinations for unmanned aerial vehicles |
US9881022B2 (en) * | 2014-05-20 | 2018-01-30 | Verizon Patent And Licensing Inc. | Selection of networks for communicating with unmanned aerial vehicles |
US9354296B2 (en) * | 2014-05-20 | 2016-05-31 | Verizon Patent And Licensing Inc. | Dynamic selection of unmanned aerial vehicles |
CN105745587B (zh) * | 2014-07-31 | 2018-09-21 | 深圳市大疆创新科技有限公司 | 使用无人飞行器实现的虚拟观光系统及方法 |
US10169927B2 (en) * | 2014-08-21 | 2019-01-01 | Honeywell International Inc. | Methods and systems for monitoring vehicle systems using mobile devices |
WO2016041110A1 (zh) * | 2014-09-15 | 2016-03-24 | 深圳市大疆创新科技有限公司 | 一种飞行器的飞行控制方法及相关装置 |
US9905134B2 (en) * | 2015-02-12 | 2018-02-27 | Aerobotic Innovations, LLC | System and method of preventing and remedying restricted area intrusions by unmanned aerial vehicles |
US20160307447A1 (en) * | 2015-02-13 | 2016-10-20 | Unmanned Innovation, Inc. | Unmanned aerial vehicle remote flight planning system |
US9741255B1 (en) * | 2015-05-28 | 2017-08-22 | Amazon Technologies, Inc. | Airborne unmanned aerial vehicle monitoring station |
US9896204B1 (en) * | 2015-06-15 | 2018-02-20 | Amazon Technologies, Inc. | Instructing unmanned aerial vehicles to land |
CN204906394U (zh) * | 2015-08-24 | 2015-12-23 | 杨珊珊 | 基于无人飞行器的信号中继系统 |
CN105068486A (zh) * | 2015-09-02 | 2015-11-18 | 杨珊珊 | 一种无人机紧急医疗救助系统及方法 |
CN105242684A (zh) * | 2015-10-15 | 2016-01-13 | 杨珊珊 | 一种伴随拍摄飞行器的无人机航拍系统及方法 |
-
2014
- 2014-09-15 WO PCT/CN2014/086474 patent/WO2016041110A1/zh active Application Filing
- 2014-09-15 CN CN201810042582.8A patent/CN108132678B/zh not_active Expired - Fee Related
- 2014-09-15 CN CN201480005442.3A patent/CN105556408B/zh active Active
- 2014-09-15 JP JP2016535129A patent/JP6210522B2/ja active Active
-
2017
- 2017-03-13 US US15/457,803 patent/US10325505B2/en active Active
-
2019
- 2019-06-05 US US16/432,049 patent/US10943495B2/en active Active
-
2021
- 2021-03-08 US US17/195,611 patent/US11776413B2/en active Active
-
2023
- 2023-10-02 US US18/479,377 patent/US20240029573A1/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2000147085A (ja) * | 1998-11-11 | 2000-05-26 | Kansai Electric Power Co Inc:The | 3次元自動移動体、3次元自動運航飛行体、自動気象観測飛行船、自動大気調査飛行船および猛禽類自動観察飛行船 |
CN201000576Y (zh) * | 2007-01-26 | 2008-01-02 | 青岛天骄无人机遥感技术有限公司 | 无人机飞行控制系统 |
CN102289230A (zh) * | 2010-06-18 | 2011-12-21 | Nes&Tec有限公司 | 一种用于无人驾驶飞行器的飞行高度控制装置 |
CN102495634A (zh) * | 2011-12-07 | 2012-06-13 | 中国南方航空工业(集团)有限公司 | 无人机的控制方法和装置及无人机的操作装置 |
CN202563322U (zh) * | 2012-03-30 | 2012-11-28 | 成都九华圆通科技发展有限公司 | 一种无线电监测无人机地面设备 |
CN102749847A (zh) * | 2012-06-26 | 2012-10-24 | 清华大学 | 多无人机协同着陆方法 |
Cited By (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2017197556A1 (en) * | 2016-05-16 | 2017-11-23 | SZ DJI Technology Co., Ltd. | Systems and methods for coordinating device actions |
US11137776B2 (en) | 2016-05-16 | 2021-10-05 | SZ DJI Technology Co., Ltd. | Systems and methods for coordinating device actions |
CN106297237A (zh) * | 2016-08-17 | 2017-01-04 | 联想(北京)有限公司 | 一种控制方法及电子设备 |
CN106406343A (zh) * | 2016-09-23 | 2017-02-15 | 北京小米移动软件有限公司 | 无人飞行器的控制方法、装置和系统 |
CN108268048A (zh) * | 2016-12-30 | 2018-07-10 | 昊翔电能运动科技(昆山)有限公司 | 无人机训飞操控方法和无人机训飞操控装置 |
JP2018112495A (ja) * | 2017-01-12 | 2018-07-19 | イームズロボティクス株式会社 | 飛行システム、飛行管理方法及び飛行プログラム |
CN107466469A (zh) * | 2017-02-17 | 2017-12-12 | 深圳前海达闼云端智能科技有限公司 | 地图绘制方法、其云端平台及服务器 |
CN107466469B (zh) * | 2017-02-17 | 2020-10-16 | 深圳前海达闼云端智能科技有限公司 | 地图绘制方法、其云端平台及服务器 |
CN108496213A (zh) * | 2017-04-09 | 2018-09-04 | 深圳市大疆创新科技有限公司 | 一种飞行处理方法及控制设备 |
CN108496213B (zh) * | 2017-04-09 | 2022-01-25 | 深圳市大疆创新科技有限公司 | 一种飞行处理方法及控制设备 |
CN108513645A (zh) * | 2017-06-28 | 2018-09-07 | 深圳市大疆创新科技有限公司 | 一种控制无人机的方法、设备、系统及存储介质 |
CN108513645B (zh) * | 2017-06-28 | 2021-06-01 | 深圳市大疆创新科技有限公司 | 一种控制无人机的方法、设备、系统及存储介质 |
CN108351652A (zh) * | 2017-12-26 | 2018-07-31 | 深圳市道通智能航空技术有限公司 | 无人飞行器路径规划方法、装置和飞行管理方法、装置 |
CN108780459A (zh) * | 2017-12-29 | 2018-11-09 | 深圳市大疆创新科技有限公司 | 无人机控制方法和装置 |
WO2019127486A1 (zh) * | 2017-12-29 | 2019-07-04 | 深圳市大疆创新科技有限公司 | 无人机控制方法和装置 |
CN108319297A (zh) * | 2018-04-04 | 2018-07-24 | 湖南丰茂植保机械有限公司 | 一种智能声波害虫诱杀系统 |
WO2020063655A1 (zh) * | 2018-09-30 | 2020-04-02 | 华为技术有限公司 | 飞行器的控制方法及装置 |
WO2022027596A1 (zh) * | 2020-08-07 | 2022-02-10 | 深圳市大疆创新科技有限公司 | 可移动平台的控制方法、装置、计算机可读存储介质 |
Also Published As
Publication number | Publication date |
---|---|
JP2017503246A (ja) | 2017-01-26 |
US20240029573A1 (en) | 2024-01-25 |
CN108132678B (zh) | 2021-06-04 |
US20210217319A1 (en) | 2021-07-15 |
US20190325759A1 (en) | 2019-10-24 |
CN105556408A (zh) | 2016-05-04 |
CN108132678A (zh) | 2018-06-08 |
US11776413B2 (en) | 2023-10-03 |
JP6210522B2 (ja) | 2017-10-11 |
US10325505B2 (en) | 2019-06-18 |
US10943495B2 (en) | 2021-03-09 |
US20170186329A1 (en) | 2017-06-29 |
CN105556408B (zh) | 2018-02-13 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
WO2016041110A1 (zh) | 一种飞行器的飞行控制方法及相关装置 | |
WO2016049905A1 (zh) | 一种飞行任务处理方法、装置及系统 | |
WO2020130679A1 (en) | Vehicle driving control apparatus and calibration method performed by the vehicle driving control apparatus | |
EP3108318A1 (en) | System and method for data recording and analysis | |
WO2018066816A1 (ko) | 공항용 로봇 및 그의 동작 방법 | |
WO2018182237A1 (ko) | 무인 항공기 및 이를 제어하는 방법 | |
WO2017008224A1 (zh) | 一种移动物体的距离检测方法、装置及飞行器 | |
WO2017196062A1 (en) | Distance sensor, and calibration method performed by device and system including the distance sensor | |
US20190265735A1 (en) | Flight control device, unmanned aerial vehicle, flight control method, and computer-readable recording medium | |
EP3387506A1 (en) | Systems and methods for auto-return | |
EP3525992A1 (en) | Mobile robot system and mobile robot | |
EP3192308A1 (en) | Method, apparatus and system of providing communication coverage to an unmanned aerial vehicle | |
WO2018070687A1 (ko) | 공항 로봇 및 그를 포함하는 공항 로봇 시스템 | |
KR102267615B1 (ko) | 임무 장비 교체 가능한 무인기 및 공통플랫폼 시스템 | |
WO2020059926A1 (ko) | 이동단말기 및 그 제어방법 | |
CN104792313A (zh) | 无人侦查系统的测绘控制方法、装置及系统 | |
WO2016154938A1 (en) | Systems and methods for analyzing flight behavior | |
WO2019127478A1 (zh) | 无人机的控制方法、飞行控制器及无人机 | |
WO2022131584A1 (ko) | 항공기용 제어장치 및 그것의 제어방법 | |
CN110435909A (zh) | 无人机停机屋以及停机屋系统 | |
WO2019009624A1 (ko) | 무인비행체의 안전 운항을 위한 디지털 무빙 맵 서비스 제공 방법 및 장치 | |
WO2021140798A1 (ja) | 情報処理システム | |
EP3919374B1 (en) | Image capturing method | |
WO2021261695A1 (ko) | 군집 드론 비행을 이용한 태양광 패널 표면의 이물질 제거 방법 및 시스템 | |
WO2021039092A1 (ja) | 制御装置、制御方法、およびプログラム |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
WWE | Wipo information: entry into national phase |
Ref document number: 201480005442.3 Country of ref document: CN |
|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 14901929 Country of ref document: EP Kind code of ref document: A1 |
|
ENP | Entry into the national phase |
Ref document number: 2016535129 Country of ref document: JP Kind code of ref document: A |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
122 | Ep: pct application non-entry in european phase |
Ref document number: 14901929 Country of ref document: EP Kind code of ref document: A1 |