WO2018218516A1 - Procédé et appareil de planification d'itinéraire de retour de véhicule aérien sans pilote - Google Patents

Procédé et appareil de planification d'itinéraire de retour de véhicule aérien sans pilote Download PDF

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Publication number
WO2018218516A1
WO2018218516A1 PCT/CN2017/086633 CN2017086633W WO2018218516A1 WO 2018218516 A1 WO2018218516 A1 WO 2018218516A1 CN 2017086633 W CN2017086633 W CN 2017086633W WO 2018218516 A1 WO2018218516 A1 WO 2018218516A1
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Prior art keywords
drone
return
flight
fly
returned
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PCT/CN2017/086633
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English (en)
Chinese (zh)
Inventor
张立天
耿畅
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深圳市大疆创新科技有限公司
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Application filed by 深圳市大疆创新科技有限公司 filed Critical 深圳市大疆创新科技有限公司
Priority to CN201780005480.2A priority Critical patent/CN108496134A/zh
Priority to PCT/CN2017/086633 priority patent/WO2018218516A1/fr
Publication of WO2018218516A1 publication Critical patent/WO2018218516A1/fr

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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/10Simultaneous control of position or course in three dimensions
    • G05D1/101Simultaneous control of position or course in three dimensions specially adapted for aircraft
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/10Simultaneous control of position or course in three dimensions
    • G05D1/101Simultaneous control of position or course in three dimensions specially adapted for aircraft
    • G05D1/106Change initiated in response to external conditions, e.g. avoidance of elevated terrain or of no-fly zones

Definitions

  • the invention relates to the field of drones, and in particular to a method and a device for planning a return path of a drone.
  • the automatic return of the drone does not pre-plan the return route.
  • This type of return is usually a direct return from the return altitude to the target position after selecting a return altitude.
  • the above-mentioned UAV return strategy does not consider the impact of the restricted flight zone. During the return flight, the UAV may be hindered by the restricted flight zone, causing the return flight to fail and being stuck at the edge of the restricted flight zone.
  • the invention provides a method and a device for planning a return path of a drone.
  • a method for planning a return path of a drone comprising:
  • the current position of the drone and the target position to be returned are obtained;
  • a drone return path planning apparatus characterized in that the apparatus comprises a processor, wherein the processor is configured to perform the following steps:
  • the current position of the drone and the target position to be returned are obtained;
  • the target position to be returned and the preset flight limited area information, Plan the return path of the drone.
  • a computer readable storage medium having stored thereon a computer program that, when executed by a processor, implements the following steps:
  • the current position of the drone and the target position to be returned are obtained;
  • the invention considers the influence of the restricted flight zone when planning the path of the automatic return of the drone, so that the drone can safely return after being out of control, and avoids the returning path falling into the restricted flight zone, thereby causing the drone to be stuck in the limit.
  • the edge of the flight zone caused the drone to fail to return.
  • FIG. 1 is a schematic structural view of a drone according to an embodiment of the present invention.
  • FIG. 2 is a flow chart of a method for planning a return path of a drone according to an embodiment of the present invention
  • FIG. 3 is a flow chart of a method for planning a return path of a drone according to another embodiment of the present invention.
  • FIG. 4 is a flow chart of a method for planning a return path of a drone according to still another embodiment of the present invention.
  • FIG. 5 is a schematic structural diagram of an unmanned aircraft return path planning apparatus according to an embodiment of the present invention.
  • FIG. 6 is a structural block diagram of an unmanned aircraft return path planning device according to an embodiment of the present invention.
  • FIG. 7 is a structural block diagram of a method for planning a return path of a drone according to another embodiment of the present invention.
  • FIG. 1 is a schematic diagram of a drone 100 according to an embodiment of the present invention.
  • the drone 100 can include a carrier 102 and a load 104.
  • the load 104 can be located directly on the drone 100 without the carrier 102 being required.
  • the drone 100 can include a power mechanism 106, a sensing system 108, and a communication system 110.
  • the power mechanism 106 may include one or more rotating bodies, propellers, blades, engines, motors, wheels, bearings, magnets, nozzles.
  • the rotating body of the power mechanism may be a self-tightening rotating body, a rotating body assembly, or other rotating body power unit.
  • the drone 100 can have one or more power mechanisms. All power mechanisms can be of the same type. Alternatively, one or more of the power mechanisms can be of different types.
  • the power mechanism 106 can be mounted to the drone by suitable means, such as by a support member (such as a drive shaft).
  • the power mechanism 106 can be mounted at any suitable location of the drone 100, such as a top end, a lower end, a front end, a rear end, a side, or any combination thereof.
  • the flight of the drone 100 is controlled by controlling one or more power mechanisms.
  • Sensing system 108 may include one or more sensors to sense the spatial orientation, velocity, and/or acceleration of drone 100 (eg, relative to rotation and translation of up to three degrees of freedom).
  • the one or more sensors may include a GPS sensor, a motion sensor, an inertial sensor, a proximity sensor, or an image sensor.
  • Sensing data provided by sensing system 108 can be used to track the spatial orientation, velocity, and/or acceleration of target 100 (using suitable processing units and/or control units as described below).
  • the sensing system 108 can be used to collect data for the environment of the drone, such as climatic conditions, potential obstacles to be approached, location of geographic features, location of man-made structures, and the like.
  • Communication system 110 is capable of communicating with terminal 112 having communication system 114 via wireless signal 116.
  • Communication systems 110, 114 may include any number of transmitters, receivers, and/or transceivers for wireless communication.
  • the communication can be one-way communication so that data can be sent from one direction.
  • one-way communication may include that only drone 100 transmits data to terminal 112, or vice versa.
  • One or more transmitters of communication system 110 can transmit data to one or more receivers of communication system 112, and vice versa.
  • the communication may be two-way communication such that data may be transmitted between the drone 100 and the terminal 112 in both directions.
  • Two-way communication includes one or more transmitters of communication system 110 that can transmit data to one or more receivers of communication system 114, and vice versa.
  • terminal 112 can provide control data to one or more of drone 100, carrier 102, and load 104, and from one or more of drone 100, carrier 102, and load 104.
  • Receive information such as the location and/or motion information of the drone, carrier or load, load-sensing data, such as image data captured by the camera).
  • the drone 100 can communicate with other remote devices than the terminal 112, and the terminal 112 can also communicate with other remote devices than the drone 100.
  • the drone and/or terminal 112 can communicate with a carrier or load of another drone or another drone.
  • the additional remote device can be a second terminal or other computing device (such as a computer, desktop, tablet, smartphone, or other mobile device) when needed.
  • the remote device can transmit data to the drone 100, receive data from the drone 100, transmit data to the terminal 112, and/or receive data from the terminal 112.
  • the far The device can be connected to the Internet or other telecommunications network to upload data received from the drone 100 and/or terminal 112 to a website or server.
  • the movement of the drone, the movement of the carrier, and the movement of the load relative to a fixed reference (such as an external environment), and/or movements between each other can be controlled by the terminal.
  • the terminal may be a remote control terminal located away from the drone, the carrier and/or the load.
  • the terminal can be located or affixed to the support platform.
  • the terminal may be handheld or wearable.
  • the terminal may include a smartphone, tablet, desktop, computer, glasses, gloves, helmet, microphone, or any combination thereof.
  • the terminal can include a user interface such as a keyboard, mouse, joystick, touch screen or display. Any suitable user input can interact with the terminal, such as manual input commands, sound control, gesture control, or position control (eg, by motion, position, or tilt of the terminal).
  • the unmanned aircraft return path planning method and apparatus provided by the embodiments of the present invention are not limited to the drone, and can also be applied to other unmanned aerial vehicles to control the return of other unmanned aerial vehicles.
  • a method for planning a return path of a drone is provided.
  • the method may be implemented by a dedicated control device mounted on the drone 100 or by a flight controller of the drone 100.
  • the method can include the following steps:
  • Step S101 During the flight of the drone 100, if the trigger information for indicating the automatic return of the drone 100 is detected, the current position of the drone 100 and the target position to be returned are acquired;
  • the trigger information indicates that the drone 100 is in an uncontrolled state. Leading to no one The reason for the aircraft being out of control may be machine failure, environmental factors (such as interference signals in the flight area of the drone 100). In the out-of-control state, the terminal 112 of the remote drone 100 cannot normally remotely control the drone 100, resulting in a safety hazard of the drone 100. In this embodiment, once the terminal 112 is detected to lose control of the drone 100, the automatic return of the drone 100 is triggered, thereby ensuring the safety of the drone 100 flying.
  • the detecting trigger information for indicating the automatic return of the drone 100 includes: detecting that the duration of the communication between the drone 100 and the terminal 112 remotely controlling the drone 100 is equal to or greater than The duration is that the drone 100 is out of control, and the drone 100 needs to be triggered to perform automatic return to avoid further emergencies and improve the intelligence of the drone 100.
  • the preset duration may not be too short, because the terminal 112 may interrupt the temporary communication between the drone 100 and the terminal 112 due to the obstruction of a large obstacle such as a building during the flight of the remotely controlled drone 100. In this case, after the drone 100 flies out of the obstacle, the terminal 112 can resume the communication connection with the drone 100.
  • the preset duration cannot be too long to avoid the safety hazard of the drone 100 caused by the untimely state of the drone 100 being out of control.
  • the preset duration is 1 minute or 2 minutes.
  • determining whether the drone 100 is in an uncontrolled state may include: in a long period of time (ie, a preset duration), the image transmission cannot be performed between the drone 100 and the terminal 112; or, The drone 100 does not receive the remote control signal transmitted by the terminal 112 for a period of time.
  • the detecting trigger information for indicating the automatic return of the drone 100 includes: receiving a user instruction for instructing the drone 100 to automatically return to the air.
  • the drone 100 itself may not be in an out-of-control state, but is triggered by the user, so that the drone 100 returns in accordance with the mode of the out-of-control state.
  • the flight controller triggers the drone 100 to automatically return to the air in accordance with the mode of the out-of-control state, so that the control of the drone 100 to return to the navigation is more convenient.
  • the flight controller instructs the drone 100 to automatically return to the air in accordance with the mode of the out-of-control state, which can be automatically triggered by the flight controller, or can be actively triggered by the user, thereby increasing the number of unmanned The diversity of machine 100 control.
  • the target location to be returned is a preset specific location, such as a location preset by the user through the terminal 112, or the drone 100 is positioned according to its own GPS (Global Positioning System). Or some location that is pre-stored by other navigational positioning methods (such as Beidou positioning) (for example, the starting position of the drone 100 flying or a position near the starting position) to meet different needs.
  • GPS Global Positioning System
  • Beidou positioning for example, the starting position of the drone 100 flying or a position near the starting position
  • the target location to be returned is a real-time location for remotely controlling the terminal 112 of the drone 100, thereby ensuring that the drone 100 can return to the user of the operating terminal 112.
  • the real-time location of the terminal 112 may be the location of the terminal 112 when the flight controller detects the trigger information for indicating the automatic return of the drone 100, improving the intelligence of the drone 100 to return, and making the unmanned The return of the aircraft 100 is more humane.
  • the real-time location of the terminal 112 may be the current location of the terminal 112 received by the flight controller after triggering the automatic return of the drone 100, improving the intelligence and flexibility of the drone 100 to return, and making the unmanned The return of the aircraft 100 is more humane. For example, when the user is in a mobile state, the real-time location of the terminal 112 will change as the user moves.
  • Step S102 Plan a return path of the drone 100 according to the current location, the target location to be returned, and the preset flight limited zone information.
  • the planning algorithm for planning the return path of the drone 100 may adopt a conventional path planning algorithm, which is not specifically limited by the present invention.
  • the drone 100 can safely return after being out of control, thereby preventing the return path from falling into the flight-limited area and causing no The man machine 100 is stuck at the edge of the flight limited area, causing the drone 100 to fail to return.
  • the limited flight zone information may be represented by a map (eg, a 2D raster map or a 3D raster map) or other forms.
  • a map eg, a 2D raster map or a 3D raster map
  • the flight limited area information can be preset by the user.
  • the area corresponding to the restricted area information may be a flight limited area (part of the area may be flight, another part is prohibited from flying, may be an area such as an airport that may be affected by the flight of the drone 100), or may be a no-fly area. (The area is completely banned, there is no flightable part, it can be a military sensitive area such as a military area or a government building).
  • the flight limited area information includes a flight limit height corresponding to the flight limited area, and is used to indicate that the drone 100 can fly in a space area below the corresponding flight limit height in the current area, but in the current area. It is forbidden to fly in the space area above the corresponding fly-limited height.
  • the limit heights corresponding to the respective positions in the same flight limited zone may be different or the same.
  • the planning according to the current location, the target location to be returned, and the preset flight limited zone information, planning a return path of the drone 100, including: according to the current location, a target to be returned a position and a limit fly height corresponding to the fly-limited area, and the return path is controlled to avoid a space area above the fly-limited height in the fly-limited area, thereby preventing the drone 100 from falling into the fly-limit area Space area.
  • the return route needs to be controlled in a space area below the flight limit height in the flight limited zone.
  • the drone 100 can be prevented from falling into a space area corresponding to the corresponding flight limit height in the flight limited area, thereby preventing the drone 100 from affecting public safety, and protecting the drone 100 Its own security.
  • the return path is controlled to be avoided according to the current position, the target position to be returned, and the limit fly height corresponding to the fly-limited area. While controlling a spatial region above the flight limit height in the flight limited zone, controlling a return flight path from a plane of the flight limit height in the flight limited zone (the plane is parallel to the ground plane and the height is the limit The minimum distance of the flying height is equal to or greater than the preset first warning distance.
  • the first early warning distance can be set according to actual conditions, for example, the first early warning distance is set to 20 cm or 50 cm, thereby ensuring that the drone 100 can completely avoid the limited flight area when returning, and preventing the drone 100 cards are on the edge of the flight zone. If the first warning distance is not set, the drone 100 may not be able to avoid due to inertia during the return flight, and the drone 100 may be stuck at the edge of the flight limited area.
  • the restricted flight zone information includes edge information corresponding to the no-fly zone.
  • the fly-by-fly zone in this embodiment means that the drone 100 is prohibited from flying at any height in a certain area.
  • the edge information may be the latitude and longitude information of the no-fly zone, or may be the location information of the no-fly zone obtained by the navigation method such as GPS.
  • the return path of the drone 100 is planned according to the current location, the target location to be returned, and the preset flight-limited zone information, including Controlling, according to the current position, the target position to be returned, and the edge information corresponding to the no-fly zone, the return path avoiding a spatial area of any height within the edge of the no-fly zone, thereby preventing the drone 100 causes a security risk.
  • the return path is controlled to avoid a spatial region of any height within the edge of the no-fly zone. And controlling, by the return path, a minimum distance from an edge of the no-fly zone to be equal to or greater than a preset second warning distance.
  • the second early warning distance can be set according to actual conditions, for example, the second early warning distance is set to 20 cm or 50 cm, thereby ensuring that the drone 100 can completely avoid the no-flying zone when returning, preventing the drone 100 cards are on the edge of the no-fly zone. If the second warning distance is not set, the drone 100 may not be able to avoid due to inertia during the return flight, and the drone 100 may be stuck at the edge of the no-fly zone.
  • the method further includes: acquiring an environment map of the area where the drone 100 is flying, Thereby, the environmental information of the area where the drone 100 is currently located is obtained.
  • the environment map of the area through which the drone 100 can be obtained by navigation such as GPS, or the image taken by the drone 100 during the flight can be obtained.
  • the acquiring the environment map of the area in which the drone 100 is flying includes: obtaining map information of the area where the drone 100 is flying, and an image taken by the drone 100 during the flight; according to the map information And the image, the environment map is constructed in real time, that is, after a general map (a map obtained by a navigation method such as GPS) and image information captured by a visual system of the drone 100, a high-precision map is obtained, and the high-precision map is taken as The environmental map.
  • the environment map is a two-dimensional map.
  • the environment map is a three-dimensional map including height information of obstacles.
  • the planning the return path of the drone 100 according to the current location, the target location to be returned, and the preset flight limited area information further includes: according to the current location, to be returned The target location, the preset flight zone information, and the environment map, the return path of the drone 100 is planned, and the return route is made more reasonable by comprehensively considering the environment map and the limited flight zone information.
  • the area in which the drone 100 is flying includes at least an area in which the drone 100 is flying before returning, so that the environment map of the area before the flight of the drone 100 is returned according to the environment and the environment map.
  • the limited flight zone information is used to plan the return route, so that the drone 100 is safer to return.
  • the area in which the drone 100 is flying includes the area before the flight of the drone 100 and the area in the return process of the drone 100, and the area before the flight of the drone 100 is returned.
  • the accuracy of the obtained environment map is higher.
  • obstacles such as hot air balloons, kites, kongming lights, etc.
  • the embodiment is more suitable for the planning of the return path of the dynamically changing environment, so that the drone 100 is safer to return.
  • the environmental map includes obstacle information in an area where no one is flying.
  • the obstacle information may include location information and height information of a building or the like, wherein The location information may be obtained according to map information obtained by a navigation method such as GPS, and the height information may be obtained according to an image captured by a visual system of the drone 100.
  • the intelligent obstacle avoidance function of the UAV 100 is implemented, according to the current position, the target position to be returned, and the preset flight limited area information. And the environment map, the planning the return path of the drone 100, further comprising: controlling, according to the obstacle information, a minimum distance of the return path from an edge of the obstacle is equal to or greater than a preset third Early warning distance.
  • the third early warning distance may be set according to actual conditions, for example, the third early warning distance is set to 20 cm or 50 cm, thereby ensuring that the drone 100 can completely avoid the obstacle when returning, and the drone 100 is prevented. Damage. If the third warning distance is not set, the drone 100 may lose speed due to the inertia caused by the flight speed during the return flight, which may cause the drone 100 to collide with the obstacle and cause loss.
  • the following steps may be further included:
  • Step S301 Control the drone 100 to return from the current position to the target position according to the return path.
  • step S301 the automatic return of the drone 100 after the loss of control is realized, thereby ensuring the safety of the drone 100 and the public, and reducing the possibility of an accident.
  • step S301 further includes: if the obstacle is detected, controlling the drone 100 to fly around the obstacle, thereby controlling the drone 100
  • the obstacle avoidance function is realized to prevent damage caused by the collision of the drone 100.
  • a repulsive force opposite to the current flight direction of the drone 100 can be applied to the drone 100 by the gravity field method or the velocity field method, thereby controlling the drone 100 to fly around the obstacle to realize the unmanned person.
  • the obstacle avoidance function of the machine 100 is realized to prevent damage caused by the collision of the drone 100.
  • the minimum distance of the drone 100 from the edge of the obstacle is controlled to be equal to or greater than a preset third warning distance, thereby maximizing the safety of the drone 100 and preventing the drone 100 from colliding with the obstacle.
  • the third early warning distance of the embodiment can be set according to actual needs, for example, the third early warning distance is set to 20 cm or 50 cm, thereby ensuring that the drone 100 can completely avoid the obstacle when returning, preventing no Damage to the human machine 100. If the third warning distance is not set, the drone 100 may lose speed due to the inertia caused by the flight speed during the return flight, which may cause the drone 100 to collide with the obstacle and cause loss.
  • the unmanned aircraft return route planning device provided by the embodiment of the present invention corresponds to the unmanned aircraft return route planning method.
  • the UAV return path planning apparatus may include a processor 11, wherein the processor 11 is configured to perform the steps of the UAV return path planning method described in Embodiment 1 above.
  • the processor 11 may be selected as a controller in a dedicated control device, or may be selected as a flight controller of the drone 100, or may be selected as a pan/tilt controller.
  • the unmanned aircraft return route planning device provided by the embodiment of the present invention corresponds to the unmanned aircraft return route planning method.
  • the UAV return route planning device may include:
  • the detecting module 10 detects whether there is trigger information for indicating the automatic return of the drone 100 during the flight of the drone 100;
  • the obtaining module 20 is detected at the detecting module 10 for indicating the automatic drone 100 After the trigger information of the return flight, the current position of the drone 100 and the target position to be returned are obtained;
  • the planning module 30 is configured to plan a return path of the drone 100 according to the current location, a target location to be returned, and preset flight limited zone information.
  • the target position to be returned is a preset specific position; or the target position to be returned is a real-time position for remotely controlling the terminal 112 of the drone 100.
  • the detecting module 10 detects the trigger information for indicating the automatic return of the drone 100, and includes: detecting that the duration of the communication between the drone 100 and the terminal 112 remotely controlling the drone 100 is equal to or greater than The duration is set; or, a user instruction for instructing the drone 100 to automatically return to the air is received.
  • the limited flight zone information includes a flight limit height corresponding to the flight limited zone.
  • the planning module 30 is further configured to control, according to the current position, a target position to be returned, and a fly-limit height corresponding to the fly-limited area, to control the return path to avoid a space above the fly-limit height in the fly-limited area. region.
  • the planning module 30 controls the return path to avoid the space above the fly-limit height in the fly-limited area according to the current position, the target position to be returned, and the limit fly height corresponding to the fly-limited area.
  • the area is further configured to control a minimum distance that the return path is from a plane of the limit fly height in the fly-limited area equal to or greater than a preset first early warning distance.
  • the limited flight zone information includes edge information corresponding to the no-fly zone.
  • the planning module 30 is further configured to control the return path to avoid any height in the edge of the no-fly zone according to the current location, the target location to be returned, and the edge information corresponding to the no-fly zone. region.
  • the planning module 30 controls the return path to avoid any height in the edge of the no-fly zone according to the current location, the target location to be returned, and the edge information corresponding to the no-fly zone.
  • the area is also used to control the minimum distance of the return path from the edge of the no-fly area to be equal to or greater than a preset second warning distance.
  • the acquiring module 20 is further configured to acquire an environment map of the area where the drone 100 is flying.
  • the planning module 30 is configured to plan a return path of the drone 100 according to the current location, a target location to be returned, a preset flight limited zone information, and the environment map.
  • the acquiring module 20 acquires an environment map of the area in which the drone 100 is flying, including: obtaining map information of the area where the drone 100 is flying, and an image taken by the drone 100 during the flight; The map information and the image are described, and the environment map is constructed in real time.
  • the area in which the drone 100 is flying includes at least the area over which the drone 100 flies before returning.
  • the area in which the drone 100 flies also includes the area in which the drone 100 passes during the return flight.
  • the environmental map includes obstacle information in an area where no one is flying.
  • the planning module 30 is further configured to control, according to the obstacle information, that a minimum distance of the return path from an edge of the obstacle is equal to or greater than a preset third warning distance.
  • the UAV return path planning apparatus further includes:
  • the control module 40 is configured to control the drone 100 to return from the current location to the target location according to the return path planned by the planning module 30.
  • the control module 40 controls the drone 100 to fly around the obstacle and control the drone 100 to be away from the edge of the obstacle.
  • the minimum distance is equal to or greater than the preset third warning distance.
  • An embodiment of the present invention provides a computer storage medium, where the computer storage medium stores program instructions, where the computer storage medium stores program instructions, and the program executes the unmanned aircraft return path planning described in the first embodiment. method.
  • a "computer-readable medium” can be any apparatus that can contain, store, communicate, propagate, or transport a program for use in an instruction execution system, apparatus, or device, or in conjunction with the instruction execution system, apparatus, or device.
  • computer readable media include the following: electrical connections (electronic devices) having one or more wires, portable computer disk cartridges (magnetic devices), random access memory (RAM), Read only memory (ROM), erasable and editable only Read memory (EPROM or flash memory), fiber optic devices, and portable compact disk read only memory (CDROM).
  • the computer readable medium may even be a paper or other suitable medium on which the program can be printed, as it may be optically scanned, for example by paper or other medium, followed by editing, interpretation or, if appropriate, other suitable The method is processed to obtain the program electronically and then stored in computer memory.
  • portions of the invention may be implemented in hardware, software, firmware or a combination thereof.
  • multiple steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system.
  • a suitable instruction execution system For example, if implemented in hardware, as in another embodiment, it can be implemented with any one or combination of the following techniques well known in the art: having logic gates for implementing logic functions on data signals. Discrete logic circuits, application specific integrated circuits with suitable combinational logic gates, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.
  • each functional unit in each embodiment of the present invention may be integrated into one processing module, or each unit may exist physically separately, or two or more units may be integrated into one module.
  • the above integrated modules can be implemented in the form of hardware or in the form of software functional modules.
  • the integrated modules, if implemented in the form of software functional modules and sold or used as stand-alone products, may also be stored in a computer readable storage medium.
  • the above mentioned storage medium may be a read only memory, a magnetic disk or an optical disk or the like.

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

Abstract

Cette invention concerne un procédé et un appareil de planification d'itinéraire de retour de véhicule aérien sans pilote (100), le procédé de planification d'itinéraire de retour comprenant les étapes suivantes : pendant un processus de vol d'un véhicule aérien sans pilote (100), si des informations de déclenchement utilisées pour ordonner le retour automatique du véhicule aérien sans pilote (100) sont détectées, acquérir la position actuelle du véhicule aérien sans pilote (100) et une position cible de retour (S101); et, sur la base de la position actuelle, de la position cible de retour, et d'informations prédéfinies concernant les zones de vol réglementées, planifier l'itinéraire de retour du véhicule aérien sans pilote (100) (S102). Compte tenu de l'impact des zones de vol réglementées lors de la planification de l'itinéraire de retour automatique d'un véhicule aérien sans pilote (100), le procédé selon l'invention assure que le véhicule aérien sans pilote (100) puisse revenir en toute sécurité après une perte de commande, en évitant que l'itinéraire de retour tombe dans une zone de vol réglementée, ce qui conduirait le véhicule aérien sans pilote (100) à être coincé au bord d'une zone réglementée, empêchant le retour du véhicule aérien sans pilote (100).
PCT/CN2017/086633 2017-05-31 2017-05-31 Procédé et appareil de planification d'itinéraire de retour de véhicule aérien sans pilote WO2018218516A1 (fr)

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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112925335A (zh) * 2019-12-06 2021-06-08 顺丰科技有限公司 无人机通讯方法、装置、计算机可读存储介质和设备
CN113485444A (zh) * 2021-08-11 2021-10-08 李佳霖 一种基于多旋翼无人机的大气监测方法及系统
CN113821056A (zh) * 2021-09-30 2021-12-21 北京星网宇达科技股份有限公司 一种航海无人机安全测控方法、装置、设备及存储介质
CN114355972A (zh) * 2021-12-27 2022-04-15 天翼物联科技有限公司 通信受限条件下的无人机护航方法、系统、装置及介质
CN116558519A (zh) * 2023-03-28 2023-08-08 国网安徽省电力有限公司马鞍山供电公司 一种适用于大负荷主变压器的智能检测方法及其系统
CN117848350A (zh) * 2024-03-05 2024-04-09 湖北华中电力科技开发有限责任公司 面向输电线路建设工程的无人机航线规划方法

Families Citing this family (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109447326B (zh) 2018-09-30 2021-11-30 深圳眸瞳科技有限公司 无人机迁移轨迹生成方法、装置、电子设备和存储介质
CN109062258B (zh) * 2018-10-08 2021-08-17 杭州瓦屋科技有限公司 控制无人机返航方法和装置
CN109360568A (zh) * 2018-12-20 2019-02-19 西安Tcl软件开发有限公司 无人机语音控制方法、系统及计算机可读存储介质
CN111367309B (zh) * 2018-12-25 2023-09-01 杭州海康威视数字技术股份有限公司 一种无人机飞行控制方法及装置
CN111381602B (zh) * 2018-12-29 2023-09-19 杭州海康威视数字技术股份有限公司 控制无人机飞行的方法、装置和无人机
CN111226184B (zh) * 2019-03-27 2024-03-12 深圳市大疆创新科技有限公司 返航控制方法、飞行控制装置及无人机
CN110262552B (zh) * 2019-06-26 2022-04-12 南京拓兴智控科技有限公司 无人机的飞行控制方法、装置、设备及存储介质
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
CN112334781A (zh) * 2019-10-29 2021-02-05 深圳市大疆创新科技有限公司 返航方法、返航用电量确定方法及装置
WO2021081993A1 (fr) * 2019-11-01 2021-05-06 深圳市大疆创新科技有限公司 Procédés de stockage et de traitement de données, dispositifs associés et support d'informations
WO2021134607A1 (fr) * 2019-12-31 2021-07-08 深圳市大疆创新科技有限公司 Procédé, dispositif et système de commande de vol de véhicule aérien sans pilote ainsi que support lisible par ordinateur
WO2021134640A1 (fr) * 2019-12-31 2021-07-08 深圳市大疆创新科技有限公司 Procédé de commande de dispositif mobile, dispositif électronique, système de commande, et support d'informations lisible par ordinateur
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WO2022061614A1 (fr) * 2020-09-23 2022-03-31 深圳市大疆创新科技有限公司 Procédé de commande de plate-forme mobile, appareil de commande, plate-forme mobile et support de stockage informatique
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CN112947563A (zh) * 2021-02-19 2021-06-11 广州橙行智动汽车科技有限公司 一种飞行器返航控制的方法和装置
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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
CN115793715B (zh) * 2023-01-05 2023-04-28 雄安雄创数字技术有限公司 一种无人机辅助飞行方法、系统、装置及存储介质

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007237873A (ja) * 2006-03-08 2007-09-20 Mitsubishi Electric Corp 移動機制御装置及び移動機制御方法及びプログラム
CN102620736A (zh) * 2012-03-31 2012-08-01 贵州贵航无人机有限责任公司 一种无人机的导航方法
CN105373616A (zh) * 2015-11-26 2016-03-02 杨珊珊 电子地图的制作方法及制作装置
CN105571588A (zh) * 2016-03-10 2016-05-11 赛度科技(北京)有限责任公司 一种无人机三维空中航路地图构建及其航路显示方法
US20160306355A1 (en) * 2015-04-15 2016-10-20 International Business Machines Corporation Autonomous drone service system
US9508263B1 (en) * 2015-10-20 2016-11-29 Skycatch, Inc. Generating a mission plan for capturing aerial images with an unmanned aerial vehicle

Family Cites Families (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103576686B (zh) * 2013-11-21 2017-01-18 中国科学技术大学 一种机器人自主导引及避障的方法
CN103809597B (zh) * 2014-02-18 2016-09-21 清华大学 无人机的飞行路径规划方法及无人机
WO2015157883A1 (fr) * 2014-04-17 2015-10-22 SZ DJI Technology Co., Ltd. Commande de vol pour des zones où le survol est limité
CN104881023A (zh) * 2015-04-23 2015-09-02 杨珊珊 多旋翼飞行器的控制方法及多旋翼飞行器
CN104834307A (zh) * 2015-04-23 2015-08-12 杨珊珊 无人飞行器的控制方法及控制装置
CN104932525B (zh) * 2015-05-28 2019-03-01 深圳一电航空技术有限公司 无人机的控制方法、装置、地面控制系统及无人机
CN106373433A (zh) * 2015-07-24 2017-02-01 深圳市道通智能航空技术有限公司 一种飞行器的飞行路线设置方法及装置
CN105472558A (zh) * 2015-12-18 2016-04-06 苏州贝多环保技术有限公司 一种无人机及其控制方法
CN105678754B (zh) * 2015-12-31 2018-08-07 西北工业大学 一种无人机实时地图重建方法
CN105487554B (zh) * 2016-01-12 2018-01-23 武汉顶翔智控科技有限公司 一种多旋翼无人机自动返航路径规划算法
CN105717945A (zh) * 2016-03-30 2016-06-29 冯基洲 一种自动避让的无人机
CN105865454B (zh) * 2016-05-31 2019-09-24 西北工业大学 一种基于实时在线地图生成的无人机导航方法
CN106092083B (zh) * 2016-05-31 2019-04-12 深圳市威必达有害生物防治有限公司 一种无人机路径规划管理系统及方法
CN106097304B (zh) * 2016-05-31 2019-04-23 西北工业大学 一种无人机实时在线地图生成方法
CN105867423A (zh) * 2016-06-08 2016-08-17 杨珊珊 无人飞行器返航方法、返航系统及其无人飞行器
CN106325299A (zh) * 2016-09-13 2017-01-11 上海顺砾智能科技有限公司 基于视觉的无人机返航着陆方法
CN106595631B (zh) * 2016-10-25 2019-08-23 纳恩博(北京)科技有限公司 一种躲避障碍物的方法及电子设备
CN106710315A (zh) * 2016-12-30 2017-05-24 广州激速智能航空科技有限公司 行业无人机管控系统及方法
CN106647766A (zh) * 2017-01-13 2017-05-10 广东工业大学 一种基于复杂环境的uwb‑视觉交互的机器人巡航方法及系统

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007237873A (ja) * 2006-03-08 2007-09-20 Mitsubishi Electric Corp 移動機制御装置及び移動機制御方法及びプログラム
CN102620736A (zh) * 2012-03-31 2012-08-01 贵州贵航无人机有限责任公司 一种无人机的导航方法
US20160306355A1 (en) * 2015-04-15 2016-10-20 International Business Machines Corporation Autonomous drone service system
US9508263B1 (en) * 2015-10-20 2016-11-29 Skycatch, Inc. Generating a mission plan for capturing aerial images with an unmanned aerial vehicle
CN105373616A (zh) * 2015-11-26 2016-03-02 杨珊珊 电子地图的制作方法及制作装置
CN105571588A (zh) * 2016-03-10 2016-05-11 赛度科技(北京)有限责任公司 一种无人机三维空中航路地图构建及其航路显示方法

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112925335A (zh) * 2019-12-06 2021-06-08 顺丰科技有限公司 无人机通讯方法、装置、计算机可读存储介质和设备
CN113485444A (zh) * 2021-08-11 2021-10-08 李佳霖 一种基于多旋翼无人机的大气监测方法及系统
CN113485444B (zh) * 2021-08-11 2024-03-12 李佳霖 一种基于多旋翼无人机的大气监测方法及系统
CN113821056A (zh) * 2021-09-30 2021-12-21 北京星网宇达科技股份有限公司 一种航海无人机安全测控方法、装置、设备及存储介质
CN113821056B (zh) * 2021-09-30 2024-04-05 北京星网宇达科技股份有限公司 一种航海无人机安全测控方法、装置、设备及存储介质
CN114355972A (zh) * 2021-12-27 2022-04-15 天翼物联科技有限公司 通信受限条件下的无人机护航方法、系统、装置及介质
CN114355972B (zh) * 2021-12-27 2023-10-27 天翼物联科技有限公司 通信受限条件下的无人机护航方法、系统、装置及介质
CN116558519A (zh) * 2023-03-28 2023-08-08 国网安徽省电力有限公司马鞍山供电公司 一种适用于大负荷主变压器的智能检测方法及其系统
CN116558519B (zh) * 2023-03-28 2024-01-23 国网安徽省电力有限公司马鞍山供电公司 一种适用于大负荷主变压器的智能检测方法及其系统
CN117848350A (zh) * 2024-03-05 2024-04-09 湖北华中电力科技开发有限责任公司 面向输电线路建设工程的无人机航线规划方法
CN117848350B (zh) * 2024-03-05 2024-05-07 湖北华中电力科技开发有限责任公司 面向输电线路建设工程的无人机航线规划方法

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