WO2015180133A1 - 无人机的航向生成方法和系统 - Google Patents

无人机的航向生成方法和系统 Download PDF

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Publication number
WO2015180133A1
WO2015180133A1 PCT/CN2014/078925 CN2014078925W WO2015180133A1 WO 2015180133 A1 WO2015180133 A1 WO 2015180133A1 CN 2014078925 W CN2014078925 W CN 2014078925W WO 2015180133 A1 WO2015180133 A1 WO 2015180133A1
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WO
WIPO (PCT)
Prior art keywords
drone
flight
imaging device
heading
editing
Prior art date
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Ceased
Application number
PCT/CN2014/078925
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English (en)
French (fr)
Inventor
陶冶
宋健宇
石仁利
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
SZ DJI Technology Co Ltd
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SZ DJI Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by SZ DJI Technology Co Ltd filed Critical SZ DJI Technology Co Ltd
Priority to PCT/CN2014/078925 priority Critical patent/WO2015180133A1/zh
Priority to JP2016536992A priority patent/JP6124384B2/ja
Priority to US15/125,509 priority patent/US10156855B2/en
Publication of WO2015180133A1 publication Critical patent/WO2015180133A1/zh
Anticipated expiration legal-status Critical
Priority to US16/186,071 priority patent/US10901435B2/en
Priority to US17/130,952 priority patent/US11656635B2/en
Ceased legal-status Critical Current

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Classifications

    • 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
    • G05D1/0011Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots associated with a remote control arrangement
    • G05D1/0044Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots associated with a remote control arrangement by providing the operator with a computer generated representation of the environment of the vehicle, e.g. virtual reality, maps
    • 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
    • G05D1/0094Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots involving pointing a payload, e.g. camera, weapon, sensor, towards a fixed or moving target
    • 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
    • G05D1/08Control of attitude, i.e. control of roll, pitch, or yaw
    • G05D1/0808Control of attitude, i.e. control of roll, pitch, or yaw specially adapted for aircraft
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G5/00Traffic control systems for aircraft
    • G08G5/30Flight plan management
    • G08G5/32Flight plan management for flight plan preparation
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G5/00Traffic control systems for aircraft
    • G08G5/30Flight plan management
    • G08G5/34Flight plan management for flight plan modification
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G5/00Traffic control systems for aircraft
    • G08G5/50Navigation or guidance aids
    • G08G5/55Navigation or guidance aids for a single aircraft
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G5/00Traffic control systems for aircraft
    • G08G5/50Navigation or guidance aids
    • G08G5/57Navigation or guidance aids for unmanned aircraft
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B64AIRCRAFT; AVIATION; COSMONAUTICS
    • B64UUNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
    • B64U2101/00UAVs specially adapted for particular uses or applications
    • B64U2101/30UAVs specially adapted for particular uses or applications for imaging, photography or videography
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B64AIRCRAFT; AVIATION; COSMONAUTICS
    • B64UUNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
    • B64U2201/00UAVs characterised by their flight controls
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B64AIRCRAFT; AVIATION; COSMONAUTICS
    • B64UUNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
    • B64U2201/00UAVs characterised by their flight controls
    • B64U2201/20Remote controls

Definitions

  • the present invention relates to the field of drones, and more particularly to a heading generation method and system for a drone. Background technique
  • the key to the aerial photography effect is the framing.
  • the location, angle and shooting parameters of the framing largely determine the quantity and artistry of the film.
  • photographers can adjust the camera in a fixed position until they find a satisfactory framing and parameters, and then go to the next scene. The shooting and framing of each scene will not interfere with each other.
  • the camera is not static, but in a continuous real-time motion state. To ensure accurate framing and parameters at every moment on the voyage, the difficulty is more difficult than traditional fixed-point photographic imaging.
  • the flight tester directly conducts multiple test flights, and then compares and selects the optimal route. When shooting, it relies on the on-site control of the flight crew.
  • the technical problem to be solved by the present invention is to provide a heading generation method and system for a drone, which can replace the manual real-time precise control of the aircraft at the shooting scene, greatly reducing the time of artificial flight, and avoiding human factors on the aerial photography.
  • the impact, at the same time, can avoid the blindness of setting the waypoint on the map, thus ensuring the best angle and distance for shooting and ensuring that the aircraft and its onboard equipment can complete high-volume aerial operations quickly and efficiently.
  • a technical solution adopted by the present invention is to provide a method for generating a heading without a human machine, which includes the following steps:
  • Pre-framing flight receiving and recording the flight waypoint of the drone, including the unmanned Positioning data and flight height information of the machine;
  • the edited new flight path is transmitted to the drone to cause the drone to fly in a new flight path.
  • the method further includes a step of: editing the posture information of the imaging device, and transmitting the posture information of the edited imaging device to the drone to cause the imaging device to photograph in the edited posture.
  • the drone is provided with a pan/tilt head, which includes at least one rotating shaft, and the imaging device is disposed on the pan/tilt head to be rotatable with the pan-tilt head, and the posture information of the editing imaging device is edited at least The angle of rotation of a rotating shaft.
  • the flight path of the drone is located by the fold line of each sampling point.
  • the method further includes the steps of: recording image information captured by the imaging device, displaying positioning data of the point of the drone on the trajectory and flight height information in combination with a map, posture information of the imaging device, and corresponding points of the imaging device When the image is taken, edit the new flight trajectory.
  • the flight trajectory comprises a plurality of nodes corresponding to the position of the drone hovering, two A smooth optimized route is created between the broken nodes by editing into a Bezier curve.
  • the method further includes a step of: editing the posture information of the drone, and transmitting the posture information of the edited drone to the drone, so that the drone flies in the edited posture.
  • the posture information of the editing drone is the pitch angle information, the roll angle information and the heading angle information of the editing drone.
  • a heading generation system for a drone comprising:
  • a receiving module configured to receive and record a flight point of the UAV pre-flight, the flight waypoint includes positioning data of the drone, and flight altitude information of the drone;
  • a flight trajectory generating module configured to calculate a flight trajectory of the drone according to a flight waypoint received by the receiving module
  • a flight path editing module configured to edit a flight path of the drone calculated by the flight path generating module to obtain a new flight track
  • a transmitting module configured to transmit the new flight trajectory edited by the flight path editing module to the drone, so that the drone flies according to a new flight trajectory.
  • the drone is provided with a cloud platform
  • the cloud platform is configured to carry an imaging device
  • the heading generation system further comprises a pan/tilt attitude editing module
  • the receiving module receives and records image information captured by the imaging device
  • the pan/tilt gesture edits posture information of the imaging device.
  • the pan/tilt head on the drone includes at least one rotating shaft, and the imaging device is disposed on the pan/tilt head to be rotatable with the pan head, and the posture information of the editing image device is also edited.
  • the heading generation system further includes a shooting parameter editing module for editing shooting parameters of the imaging device, and the transmitting module transmits the edited shooting parameters to the drone to cause the imaging device to press Edited shooting parameters for shooting.
  • the flight trajectory generating module smoothly traverses the collected discrete point data to form a smooth curve to locate the flight trajectory of the drone.
  • the flight trajectory generating module locates a flight trajectory of the drone through a fold line of each sampling point.
  • the flight trajectory comprises a plurality of nodes corresponding to the position of the drone hovering, and the flight trajectory editing module generates a smooth optimized route by editing the Bezier curve between the two nodes.
  • the waypoint further includes posture information of the drone
  • the heading generation system further includes a UAV posture editing module, configured to edit posture information of the UAV
  • the sending module is further configured to transmit
  • the UAV attitude editing module edits the posture information of the UAV to the UAV.
  • the UAV attitude editing module is configured to edit the elevation angle information, the roll angle information, and the heading angle information of the UAV.
  • the flight path editing module of the heading generation system of the drone of the present invention edits the flight trajectory of the drone calculated by the flight trajectory generating module, To get a new flight path. Therefore, it can replace the manual real-time precise control of the aircraft at the shooting site, greatly reducing the artificial flight time, avoiding the influence of human factors on the aerial volume, and avoiding setting the navigation on the map.
  • the blindness of the points ensures the best angle and distance for shooting and ensures that the aircraft and its onboard equipment can perform high-volume aerial operations quickly and efficiently.
  • FIG. 1 is a flowchart of a method for generating a heading of a drone according to an embodiment of the present invention.
  • FIG. 2 is a flight trajectory generated by the method of FIG. 1 and an edited trajectory map.
  • FIG. 3 is a functional block diagram of a heading generation system of a drone according to an embodiment of the present invention. detailed description
  • FIG. 1 is a flow chart of a method for generating a heading of a drone according to an embodiment of the present invention.
  • the drone is provided with a pan/tilt, a GPS positioning device, an inertial measurement unit, a height measuring device, and the like.
  • the pan/tilt head is used to mount an imaging device, such as a camera, a camera, a telescope, a remote camera, a measuring instrument, etc., to implement fixation of the imaging device, and to adjust the posture of the imaging device at random (for example: changing the imaging device) The tilt angle and shooting direction) to achieve high-volume shooting and/or photography.
  • a pan/tilt attitude sensor (GCU or IMU) is also disposed on the pan/tilt to sense the attitude of the gimbal.
  • the heading generation method of the drone includes the following steps:
  • S101 Pre-framing flight, receiving and recording the shooting angle of the flight waypoint and the imaging device Information, parameters set by the imaging device, and image information captured by the imaging device, the waypoints including positioning data of the drone, and flying height information;
  • the UAV remote control drone performs flight near the target, and collects related waypoint information of the shooting framing.
  • the flight crew controls the drone to hover, and the crew adjusts the position, height and attitude of the drone, the attitude of the gimbal, and the parameters of the imaging device, similar to traditional fixed-point photography. Due to the abundance of time and the independence of the scenes, the photographer can complete high-resolution framing.
  • the GPS positioning device of the drone is used to acquire the position of the drone, and the inertial measurement device (IMU) is used to collect the flight attitude of the drone.
  • the parameters of the imaging device include an aperture, a shutter, and the like.
  • S102 generate a flight trajectory according to a waypoint of the framing flight
  • the UAV collects positioning data of the UAV, flight height information of the UAV collected by the height measuring device, and unmanned objects collected by the inertial measuring device during the flight.
  • the flight attitude of the aircraft is used to calculate the flight path of the drone. This is a process of fitting a continuous trajectory through discrete position coordinate points. In general, there are two ways to do this:
  • the first is to connect adjacent coordinate points by a straight line, that is, linear interpolation.
  • a straight line that is, linear interpolation.
  • the second is to smoothly locate the flight path of the drone by a smooth transition of the collected discrete point data, that is, a nonlinear interpolation method.
  • a nonlinear interpolation method At present, polynomial interpolation is widely used in engineering. This method can reduce the error between the fitted curve and the actual trajectory curve to some extent.
  • the flight trajectory is a Bezier curve.
  • the flight path includes a plurality of A node that corresponds to the location where the drone is hovering.
  • the flight path of the drone, the shooting angle information of the imaging device, the parameters set by the imaging device, and the image captured by the imaging device are received and recorded through a ground receiving end, such as a mobile phone or a handheld device (such as an ipad). information.
  • the flight waypoint and the shooting angle information of the imaging device can also be recorded directly by the drone and transmitted to the computer to receive and record the flight waypoint and the shooting angle information of the imaging device.
  • the waypoint may also only include positioning data and flight altitude information of the drone, and does not include flight attitude information of the drone, and therefore, only through the positioning data of the drone, and flight Height information is used to calculate the flight path of the drone.
  • the flight path of the drone, the shooting angle information of the imaging device, and the image information captured by the imaging device are transmitted to a computer.
  • the computer displays the positioning data, the flying height information, and the unmanned point of the drone on the track in combination with the map.
  • the attitude information of the machine, the posture information of the imaging device, the parameters set by the imaging device, and the image taken when the imaging device corresponds to the point.
  • the flight trajectory includes a plurality of nodes corresponding to the position of the drone hovering, as shown in FIG. 2, node 1, node 2, node 3, node 4, node 5, and node 6, and the actor can pass
  • the computer views the positioning data of any point on the trajectory of the drone, the flying height information, the flight attitude information, the posture information of the imaging device, the parameters set by the imaging device, and the image taken when the imaging device corresponds to the point. Therefore, when the flight path is not straight Under the premise, the production personnel hope that the next time the UAV does not pass through the node 2, directly connect the adjacent two nodes of the node that does not want to pass, such as node 1 and node 3, directly.
  • a smooth optimized route is created between node 1 and node 3. It can be understood that the node can also be any point selected on the flight path, and is not limited to the position of the drone of the drone.
  • the manner of editing a new flight trajectory is not limited to a straight line connection, and can be edited into a Bezier curve between any two nodes to generate a smooth optimized route.
  • the curve is used to achieve the fitting.
  • the reasons are as follows: First, the trajectory of the curve can be easily defined by the Bessel control points, and these control points can be combined with the characteristics of the actual movement of the aircraft (such as speed, direction, etc.), naturally The effect is closer to the flight path; the second is that the Bezier curve can maintain a good smoothness during the piecewise interpolation process, and the overall effect is better than other segmentation interpolation methods.
  • the waypoint further includes flight attitude information of the drone, and edits the flight attitude information of the drone, such as the pitch angle information, the roll angle information, and the heading angle information of the drone.
  • the posture information of the drone when the posture information of the drone is edited by one of the nodes, the drone moves from the node to the next node, and the drone moves to the edited posture. It can be understood that, in other embodiments, when the posture information of the drone is edited by one of the nodes, the entire route is taken, and the drone is pressed to the edited drone. Gesture action.
  • S105 Edit posture information of the imaging device;
  • the pan/tilt head on the drone is a three-axis pan/tilt head, which includes a pitch axis, a roll axis, and a heading axis.
  • the imaging device is disposed on the pan/tilt to rotate with the pan/tilt.
  • edit the rotation parameters of the gimbal that is, edit the rotation angle of the three axes as required.
  • the pan/tilt moves from the node to the next node according to the rotation parameter of the edited pan/tilt. It can be understood that, in other embodiments, when the posture information of the pan/tilt is edited by one of the nodes, the entire route is pressed, and the pan/tilt is pressed to the rotation parameter of the edited pan/tilt. .
  • the pan/tilt may also be single-axis or two-axis.
  • the imaging parameters of the imaging device include aperture size, shutter size, and the like.
  • the shooting parameters of the imaging device are edited by one of the nodes, the imaging device is photographed from the node to the next node by the edited shooting parameters. It can be understood that, in other embodiments, when one of the nodes edits the shooting parameters of the imaging device, the entire route is taken, and the imaging device is photographed according to the edited shooting parameters.
  • S107 transmitting the edited new flight trajectory, the posture information of the edited drone, the posture information of the edited imaging device, and the edited shooting parameters of the imaging device to the drone,
  • the UAV is caused to fly according to a new flight trajectory and a new attitude.
  • Each axis of the PTZ rotates at an edited rotation angle, and the imaging device performs photography according to the edited shooting parameters.
  • the edited new flight trajectory will be edited through the data line.
  • the attitude information of the imaging device and the edited shooting parameters are transmitted to the main controller of the drone. In other embodiments, it may also be transmitted by means of wireless transmission, and is not limited to the embodiment.
  • an automatic route generation system 100 for a drone includes a receiving module 10, a flight trajectory generating module 20, a flight trajectory editing module 30, and a UAV posture editing module 40. a pan/tilt gesture editing module 50, a shooting parameter editing module 60, and a transmitting module 70.
  • the drone is provided with a pan/tilt, a GPS positioning device, an inertial measurement unit, a height measuring device, and the like.
  • the pan/tilt head is used to mount an imaging device, such as a camera, a camera, a telescope, a remote camera, a measuring instrument, etc., to implement fixation of the imaging device, and to adjust the posture of the imaging device at random (for example: changing the imaging device) The tilt angle and shooting direction) to achieve high-volume shooting and/or photography.
  • An attitude sensor (GCU/IMU) is also disposed on the pan/tilt for sensing the attitude of the gimbal.
  • the UAV remote control drone performs flying near the target, and collects related waypoint information of the shooting framing.
  • the flight crew controls the drone to hover, and the crew adjusts the position and attitude of the drone, the attitude of the gimbal, and the shooting parameters of the imaging device, similar to traditional fixed-point photography. Due to the abundance of time and the independence of the scenes, the photographer can complete high-resolution framing.
  • the GPS positioning device of the drone is used to acquire position information of the drone, and the inertial measurement device is used to measure flight attitude information of the drone.
  • the UAV collects positioning data of the UAV, flight height information of the UAV collected by the height measuring device, and Flight attitude information of the drone collected by the inertial measurement device.
  • the receiving module 10 is configured to receive and record positioning data of the UAV pre-flight, flight height information of the UAV, flight attitude information of the UAV, shooting angle information of the imaging device, shooting parameters of the imaging device, and Image information captured by the imaging device.
  • the flight trajectory generating module 20 is configured to calculate the drone according to the positioning data of the drone, the flying height information of the drone, and the posture information of the drone received by the receiving module 10 Flight trajectory.
  • the flight trajectory generation module 20 generates a flight trajectory by fitting a continuous trajectory by discrete position coordinate points. Specifically:
  • the first type is that the flight trajectory generating module 20 connects the adjacent position coordinate points by a straight line, that is, linear interpolation method.
  • a straight line that is, linear interpolation method.
  • the second is that the flight trajectory generation module 20 approximates the flight trajectory of the drone by a smooth transition of the collected discrete point data, that is, a nonlinear interpolation method.
  • a nonlinear interpolation method At present, polynomial interpolation is widely used in engineering. This method can reduce the error between the fitted curve and the actual trajectory curve to some extent.
  • the flight trajectory is a Bezier curve.
  • the flight path includes a plurality of nodes corresponding to locations where the drone is hovering.
  • the waypoint may also include only the positioning data and the flying height information of the drone, and does not include the flight attitude information of the drone. Therefore, the flight path generating module 20 only passes the unmanned The positioning data of the machine, and the flight height information are used to calculate the flight path of the drone.
  • the flight path editing module 30 is configured to edit a flight trajectory of the drone calculated by the flight trajectory generating module 20 to obtain a new flight trajectory.
  • the computer displays the positioning data, the flying height information, and the unmanned point of the drone on the track in combination with the map.
  • the flight trajectory includes a plurality of nodes corresponding to the position of the drone hovering, as shown in FIG. 2, node 1, node 2, node 3, node 4, node 5, and node 6, and the actor can pass
  • the computer views the positioning data of any point of the drone on the trajectory, the flying height information, the attitude information of the drone, the posture information of the imaging device, and the image taken when the imaging device corresponds to the point. Therefore, when the flight path is not a straight line, the player hopes that the next time the UAV does not pass through the node 2, the node between the two adjacent nodes of the node that does not want to pass is directly For example, node 1 and node 3 are directly connected in a straight line, and a smooth optimized route is generated between node 1 and node 3.
  • the flight path editing module 30 directly directly disconnects the two nodes in the flight path. For example, node 1 and node 4 are directly connected in a straight line.
  • the manner in which the flight path editing module 30 edits a new flight trajectory is not limited to being connected by a straight line, and may be edited into a Bezier curve by any two nodes to generate a smooth Optimize the route, Bezier curve to achieve the fitting, the reasons: First, the curve of the curve can be easily defined by the Bezier control points, and these control points can be combined with the characteristics of the actual movement of the aircraft (such as speed, Direction, etc.), Naturally, the effect is closer to the flight path; secondly, the Bezier curve can maintain good smoothness during the piecewise interpolation process, and the overall effect is better than other segmentation interpolation methods.
  • the UAV attitude editing module 40 is configured to edit the posture of the UAV.
  • the UAV attitude editing module 40 edits the flight attitude information of the drone, such as the pitch angle information, the roll angle information, and the heading angle of the drone information.
  • the UAV posture editing module 40 edits the posture information of the UAV at one of the nodes, the UAV is pressed to edit from the node to the next node. Good gestures. It can be understood that, in other embodiments, when the UAV posture editing module 40 edits the posture information of the UAV at one of the nodes, the entire route, the UAV Press to move to the edited drone.
  • the pan/tilt gesture editing module 50 is configured to edit posture information of the imaging device.
  • the pan/tilt head on the drone is a three-axis pan/tilt head, which includes a pitch axis, a roll axis, and a heading axis.
  • the imaging device is disposed on the pan/tilt to rotate with the pan/tilt.
  • the PTZ posture editing module 50 refers to the receiving module 10 to receive and record the shooting angle information of the imaging device and the image information captured by the imaging device, and edit the rotation parameters of the PTZ. That is, the angle of rotation of the three axes is edited as needed.
  • the pan/tilt gesture editing module 50 edits the attitude information of the pan/tilt at one of the nodes, the cloud platform presses the edited cloud from the node to the next node.
  • the rotation parameter action of the table It can be understood that, in other embodiments, when the pan/tilt gesture editing module 50 edits the posture information of the pan/tilt at one of the nodes, the entire route, the pan/tilt is pressed to edit.
  • PTZ posture editing The module 50 can also edit the posture information of the pan/tilt at a plurality of nodes at the same time, and is not limited to the embodiment.
  • the pan/tilt may also be a single-axis or two-axis pan/tilt.
  • the shooting parameter editing module 60 is configured to edit shooting parameters of the imaging device, and the shooting parameters include an aperture size, a shutter size, and the like.
  • the shooting parameter editing module 60 edits the shooting parameters of the imaging device at one of the nodes, the imaging device presses the edited shooting parameter from the node to the next node.
  • Shooting It can be understood that, in other embodiments, when the shooting parameter editing module 50 edits the shooting parameters of the imaging device at one of the nodes, the entire route is edited. Shooting parameters for shooting.
  • the sending module 70 is configured to transmit the new flight trajectory edited by the flight trajectory editing module 30, the posture information of the image forming apparatus edited by the UAV posture editing module 40, and the pan/tilt attitude editing module 50.
  • the heading generation method and system of the drone can replace the manual real-time precise control of the aircraft at the shooting scene, greatly reducing the time of artificial flight, avoiding the influence of human factors on the aerial photography, and at the same time avoiding the map. Set the blindness of the waypoints, thus ensuring the best angle and distance for shooting and ensuring that the aircraft and its onboard equipment can perform high-volume aerial operations quickly and efficiently.
  • the disclosed system, apparatus, and method may be implemented in other manners.
  • the device embodiment described above For example, the division of the module or unit is only a logical function division, and the actual implementation may have another division manner, for example, multiple units or components may be combined or 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 components displayed as the unit 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. Based on such understanding, the technical solution of the present invention or the part contributing 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 device (which may be a personal computer, server, or network device, etc.) or a 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, Read-Only Memory), Various access codes, such as a random access memory (RAM), a magnetic disk, or an optical disk, can store program codes.
  • ROM read-only memory
  • RAM random access memory
  • magnetic disk magnetic disk
  • optical disk optical disk

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

Abstract

本发明公开了一种无人机的航向生成方法,其包括以下步骤:预先取景飞行,记录飞行航点,所述航点包括无人机的定位数据和飞行高度信息;接收并记录无人机的飞行航点;根据取景飞行的航点生成一飞行轨迹;编辑所述飞行轨迹,以得到一新的飞行轨迹;传送编辑好的所述新的飞行轨迹至所述无人机,以使所述无人机按新的飞行轨迹飞行。本发明还涉及一种无人机的航向生成系统。

Description

无人机的航向生成方法和系统
技术领域
本发明涉及无人机领域, 特別是涉及一种无人机的航向生成方法和 系统。 背景技术
在航拍任务中, 对航拍效果起关键作用的一点是取景, 同传统的摄 影摄像一样, 取景的地点, 角度还有拍摄参数很大程度上决定了拍摄素 材的^量和艺术性。 在传统的定点摄影和摄像中, 摄影师可以在固定的 机位从容的调节摄像机, 直到找到满意的取景和参数再实施拍摄, 完成 后进入下一场景, 各场景的拍摄和取景不会互相干扰。 不同于传统摄影 摄像, 在航拍摄像中, 摄像机不是静态的, 而是处于一个连续的实时的 运动状态, 要保证航行上每一刻的取景和参数都准确, 其难度要比传统 的定点摄影摄像难很多, 因为摄影师在航线开始后, 没有重复取景, 比 较的机会, 一旦航线开始就要一次走完, 除非多次走航线, 后期剪辑。 如何连续完成多个目标物体或场景的拍摄任务, 飞行器及其机载航拍设 备如何快速、 高^量地完成拍摄工作, 这就涉及到航拍飞行器的飞行轨 迹规划, 也就是航拍航线生成问题。
现有的航拍航线生成方法有以下两种: 一是直接由飞行搡作人员进 行多次试飞, 再通过对比, 选择最优航线, 拍摄的时候依赖飞行搡作人 员的现场控制; 二是先在地图上设定目标航点以及拍摄角度, 再通过人 为搡作或者计算机控制, 使飞行器按一定顺序完成经过这些目标点的飞 行, 生成目标航线。
对于上述第一种航拍航线的生成方法, 由于人员搡作很难每次都达 到精确和完美的效果, 所以需要飞行搡作人员在目标物体或场景周围进 行多次飞行拍摄, 这不仅增加飞行搡作的时间和雇佣飞行搡作员的成 本, 又难以保证拍摄的^量。 具有高超熟练度的飞行员可以精确的控制 航线, 但这样的搡作人员非常难得, 同时让专业的摄影师和飞行员高校 配合沟通也具有难度。而对于第二种方法, 虽然降低了对飞行员的依赖, 单由于无法所见即所得, 人为在地图上设置航点具有一定盲目性, 这些 航点无法保证能够获得最佳的拍摄距离和角度, 并且无法保证连续拍摄 的高效性。 如果出现了地图上没有标注的物体, 例如一棵树或一栋新建 筑, 在地图上规划航线的方式会带来安全上的隐患, 例如实际飞行中撞 上建筑物。 发明内容
本发明主要解决的技术问题是提供一种无人机的航向生成方法和 系统, 能够代替人工在拍摄现场对飞机的实时精确控制, 大大缩减了人 为飞行搡作时间, 避免人为因素对航拍 ^量的影响, 同时, 又可避免在 地图上设置航点的盲目性, 从而能够保证实现拍摄的最佳角度和距离和 保证飞行器及其机载设备能够快速高效地完成高^量航拍作业。
为解决上述技术问题, 本发明采用的一个技术方案是: 提供一种无 人机的航向生成方法, 其包括以下步骤:
预先取景飞行, 接收并记录无人机的飞行航点, 所述航点包括无人 机的定位数据和飞行高度信息;
根据取景飞行的航点生成一飞行轨迹;
编辑所述飞行轨迹, 以得到一新的飞行轨迹;
传送编辑好的所述新的飞行轨迹至所述无人机, 以使所述无人机按 新的飞行轨迹飞行。
其中, 进一步包括一步骤: 编辑成像装置的姿态信息, 传送编辑好 的成像装置的姿态信息至所述无人机, 以使所述成像装置按编辑好的姿 态摄影。
其中, 所述无人机上设置一个云台, 其包括至少一转动轴, 所述成 像装置设置于所述云台可随云台转动而转动, 编辑成像装置的姿态信息 也即编辑云台的至少一转动轴的转动角度。
其中, 进一步包括步骤: 编辑成像装置的拍摄参数, 传送编辑好的 成像装置的拍摄参数至所述无人机, 以使所述成像装置按编辑好的拍摄 参数摄影。
其中, 通过对采集的离散点数据进行平滑过渡, 形成一条平滑曲线 来定位无人机的飞行轨迹。
其中, 通过各采样点的折线来定位无人机的飞行轨迹。
其中, 进一步包括步骤: 记录成像装置拍摄的图像信息, 结合地图 显示所述无人机在该轨迹上的一点的定位数据以及飞行高度信息, 所述 成像装置的姿态信息、 以及成像装置对应该点时拍摄的图像, 编辑所述 新的飞行轨迹。
其中, 所述飞行轨迹包含多个对应于无人机悬停的位置的节点, 两 个断开的节点之间通过编辑成贝塞尔曲线的方式产生光滑的优化航线。 其中, 进一步包括一步骤: 编辑无人机的姿态信息, 传送编辑好的 无人机的姿态信息至所述无人机, 以使所述无人机按编辑好的姿态飞 行。
其中, 所述编辑无人机的姿态信息为编辑无人机的俯仰角信息、 横 滚角信息和航向角信息。
为解决上述技术问题, 本发明采用的一个技术方案是: 一种无人机 的航向生成系统, 其包括:
一接收模块, 用于接收并记录无人机预先飞行的飞行航点, 所述飞 行航点包括无人机的定位数据、 和无人机的飞行高度信息;
一飞行轨迹生成模块, 用于根据所述接收模块接收的飞行航点计算 所述无人机的飞行轨迹;
一飞行轨迹编辑模块, 用于编辑所述飞行轨迹生成模块计算的所述 无人机的飞行轨迹, 以得到一新的飞行轨迹;
一发送模块, 用于传送所述飞行轨迹编辑模块编辑好的所述新的飞 行轨迹至所述无人机, 以使所述无人机按新的飞行轨迹飞行。
其中, 所述无人机上设置有云台, 所述云台用于搭载一成像装置, 所述航向生成系统进一步包括一云台姿态编辑模块, 所述接收模块接收 并记录成像装置拍摄的图像信息, 所述云台姿态编辑所述成像装置的姿 态信息。
其中, 所述无人机上的云台包括至少一转动轴, 所述成像装置设置 于所述云台可随云台转动而转动, 编辑成像装置的姿态信息也即编辑所 述至少一转动轴的转动角度。
其中, 所述航向生成系统进一步包括一拍摄参数编辑模块, 用于编 辑所述成像装置的拍摄参数, 所述发送模块传送编辑好的拍摄参数至所 述无人机, 以使所述成像装置按编辑好的拍摄参数摄影。
其中, 所述飞行轨迹生成模块通过对采集的离散点数据进行平滑过 渡, 形成一条平滑曲线来定位无人机的飞行轨迹。
其中, 所述飞行轨迹生成模块通过各采样点的折线来定位无人机的 飞行轨迹。
其中, 所述飞行轨迹包含多个对应于无人机悬停的位置的节点, 所 述飞行轨迹编辑模块采用两个节点之间通过编辑成贝塞尔曲线的方式 产生光滑的优化航线。
其中, 所述航点进一步包括无人机的姿态信息, 所述航向生成系统 进一步包括一无人机姿态编辑模块, 用于编辑所述无人机的姿态信息, 所述发送模块还用于传送所述无人机姿态编辑模块编辑好的无人机的 姿态信息至所述无人机。
其中, 所述无人机姿态编辑模块用于编辑无人机的俯仰角信息、 横 滚角信息和航向角信息。
本发明的有益效果是: 区別于现有技术的情况, 本发明的无人机的 航向生成系统的所述飞行轨迹编辑模块编辑所述飞行轨迹生成模块计 算的所述无人机的飞行轨迹, 以得到一新的飞行轨迹。 因此, 能够代替 人工在拍摄现场对飞机的实时精确控制, 大大缩减了人为飞行搡作时 间, 避免人为因素对航拍 ^量的影响, 同时, 又可避免在地图上设置航 点的盲目性, 从而能够保证实现拍摄的最佳角度和距离和保证飞行器及 其机载设备能够快速高效地完成高^量航拍作业。 附图说明
图 1是本发明实施例提供的无人机的航向生成方法的流程图。
图 2是图 1的方法生成的飞行轨迹和编辑后的轨迹图。
图 3是本发明实施例提供的无人机的航向生成系统的功能模块图。 具体实施方式
下面将结合本发明实施例中的附图, 对本发明实施例中的技术方案 进行清楚、 完整地描述, 显然, 所描述的实施例仅是本发明的一部分实 施例, 而不是全部的实施例。 基于本发明中的实施例, 本领域普通技术 人员在没有做出创造性劳动前提下所获得的所有其他实施例, 都属于本 发明保护的范围。
请参阅图 1, 图 1是本发明实施例提供的无人机的航向生成方法的流 程图。 所述无人机上设置有云台、 GPS定位装置、 惯性测量单元、 高度 测量装置等。 该云台用于搭载一成像装置, 例如摄像机、 照相机、 望远 镜、 远程摄像机和测量仪等, 用以实现所述成像装置的固定、 随意调节 所述成像装置的姿态 (例如: 改变所述成像装置的倾角和拍摄方向), 以实现高^量的拍摄和 /或照相等。所述云台上也设置有一云台姿态传感 器 (GCU或 IMU), 用于感测云台的姿态。 所述无人机的航向生成方法 包括以下步骤:
S101 : 预先取景飞行, 接收并记录飞行航点、 成像装置的拍摄角度 信息、 成像装置设置的参数、 以及成像装置拍摄的图像信息, 所述航点 包括无人机的定位数据、 飞行高度信息;
其中, 本发明实施例中, 无人机搡作人员遥控无人机在目标附近进 行飞行, 采集拍摄取景的相关航点信息。 在一些关键的地点, 飞行搡作 人员控制无人机悬停, 搡作人员对无人机的位置、 高度和姿态、 云台的 姿态、 以及成像装置的参数进行调节, 类似于传统的定点摄影, 由于时 间充裕,各场景独立,摄影师可以完成高^量的取景。所述无人机的 GPS 定位装置用于获取无人机的位置, 所述惯性测量装置 (IMU) 用于采集 无人机的飞行姿态。 成像装置的参数包括光圈以及快门等。
S102 : 根据取景飞行的航点生成一飞行轨迹;
所述无人机通过在飞行过程中, 所述 GPS定位装置采集所述无人机 的定位数据、 所述高度测量装置采集的无人机的飞行高度信息以及所述 惯性测量装置采集的无人机的飞行姿态来计算所述无人机的飞行轨迹。 这是一种通过离散位置坐标点拟合连续轨迹的过程。 一般情况下有以下 两种做法:
第一种是将相邻位置坐标点通过直线进行连接, 即线性插值法, 当 曲线轨迹上的采样点足够多时, 通过各采样点的折线可视为近似轨迹。
第二种是通过对采集的离散点数据进行平滑过渡, 形成一条平滑曲 线来近似定位无人机的飞行轨迹, 即非线性的插值方法。 目前在工程上 运用比较广泛的是多项式插值, 这种方法能够在一定程度上减少拟合曲 线与实际轨迹曲线之间的误差。
本实施例中, 所述飞行轨迹为贝塞尔曲线。 所述飞行轨迹包含多个 对应于无人机悬停的位置的节点。
本实施例中, 通过地面接收端, 如手机或手持装置 (如 ipad), 接收 并记录所述无人机的飞行轨迹、 成像装置的拍摄角度信息、 成像装置设 置的参数以及成像装置拍摄的图像信息。
在其他实施例中, 也可直接通过无人机记录飞行航点以及成像装置 的拍摄角度信息, 并传送至电脑接收并记录飞行航点以及成像装置的拍 摄角度信息。
在其他实施例中, 所述航点也可只包括无人机的定位数据和飞行高 度信息, 不包括无人机的飞行姿态信息, 因此, 只通过所述无人机的定 位数据、 和飞行高度信息来计算所述无人机的飞行轨迹。
S103 : 编辑所述飞行轨迹, 以得到一新的飞行轨迹;
将无人机的飞行轨迹、 成像装置的拍摄角度信息以及成像装置拍摄 的图像信息均传输至一电脑。 本实施例中, 当所述搡作员通过鼠标任意 点击飞行轨迹上的一点时, 所述电脑会结合地图显示所述无人机在该轨 迹上的一点的定位数据、 飞行高度信息、 无人机的姿态信息、 所述成像 装置的姿态信息、 所述成像装置设置的参数、 以及成像装置对应该点时 拍摄的图像。
由于所述飞行轨迹包含多个对应于无人机悬停的位置的节点, 如图 2所示, 节点 1、 节点 2、 节点 3、 节点 4、 节点 5和节点 6, 且搡作员可通 过电脑观看所述无人机在该轨迹上的任意一点的定位数据、 飞行高度信 息、 飞行姿态信息、 所述成像装置的姿态信息、 成像装置设置的参数以 及成像装置对应该点时拍摄的图像。 因此, 当所述飞行轨迹不为直线的 前提下, 搡作人员希望下次所述无人机飞行时不经过节点 2, 则直接将 该不欲经过的节点的相邻两个节点之间, 如节点 1与节点 3, 直接直线相 连, 在节点 1与节点 3之间产生光滑的优化航线。 可以理解的是, 所述节 点也可以为在飞行轨迹上选择的任意一点, 并不限于无人机的悬停的位 置。
在其他情况下, 当搡作人员希望下次所述无人机飞行时不经过节点 2和节点 3时, 则直接将所述飞行轨迹断开的两个节点之间, 如节点 1与 节点 4, 直接直线相连。
可以理解的是, 所述编辑新飞行轨迹的方式并不限于采用直线相连 的方式, 也可采用任意两个节点之间通过编辑成贝塞尔曲线等方式, 以 产生光滑的优化航线, 贝塞尔曲线来实现拟合, 其原因: 一是通过贝塞 尔控制点可以很方便的定义曲线的轨迹, 而这些控制点正好可以结合飞 行器实际移动过程中的特性 (如速度、 方向等), 自然就达到了更贴近 飞行轨迹的效果; 二是在分段插值过程中贝塞尔曲线也能保持很好的平 滑度, 整体效果好于其它分段插值方法。
S104 : 编辑无人机的姿态信息;
本实施例中, 所述航点还包括无人机的飞行姿态信息, 编辑无人机 的飞行姿态信息, 如无人机的俯仰角信息、 横滚角信息和航向角信息。 本实施例中, 当在其中一节点编辑了所述无人机的姿态信息时, 则从该 节点到下一节点之间, 所述无人机按到编辑好的姿态动作。 可以理解的 是, 在其他实施例中, 也可以是当在其中一节点编辑了所述无人机的姿 态信息时, 则整个航线,所述无人机都按到编辑好的无人机的姿态动作。 S105 : 编辑成像装置的姿态信息;
本实施例中, 所述无人机上的云台为三轴云台, 其包括俯仰轴、 横 滚轴和航向轴。 所述成像装置设置于所述云台可随云台转动而转动。 针 对任一节点, 编辑云台的转动参数, 也即, 根据需求编辑三轴的转动角 度。 本实施例中, 当在其中一节点编辑了所述云台的姿态信息时, 则从 该节点到下一节点之间, 所述云台按到编辑好的云台的转动参数动作。 可以理解的是, 在其他实施例中, 也可以是当在其中一节点编辑了所述 云台的姿态信息时, 则整个航线, 所述云台都按到编辑好的云台的转动 参数动作。
在其他实施例中, 所述云台也可为单轴或两轴。
S106 : 编辑成像装置的拍摄参数;
所述成像装置的拍摄参数包括光圈大小和快门大小等。 本实施例 中, 当在其中一节点编辑了所述成像装置的拍摄参数时, 则从该节点到 下一节点之间, 所述成像装置按到编辑好的拍摄参数拍摄。 可以理解的 是, 在其他实施例中, 也可以是当在其中一节点编辑了所述成像装置的 拍摄参数时, 则整个航线, 所述成像装置都按到编辑好的拍摄参数拍摄。
S107 : 传送编辑好的所述新的飞行轨迹、 编辑好的无人机的姿态信 息、 编辑好的成像装置的姿态信息以及编辑好的所述成像装置的拍摄参 数至所述无人机, 以使所述无人机按新的飞行轨迹及新的姿态飞行, 所 述云台的各轴按编辑好的转动角度旋转, 所述成像装置按编辑好的拍摄 参数进行摄影。
本实施例中, 通过数据线将编辑好的所述新的飞行轨迹、 编辑好的 成像装置的姿态信息以及编辑好的拍摄参数传送至所述无人机的主控 制器。 在其他实施方式中, 也可通过无线传输的方式发送, 并不限于本 实施例。
请参阅图 3, 本发明实施例提供的无人机的航线自动生成系统 100, 其包括一接收模块 10、一飞行轨迹生成模块 20、一飞行轨迹编辑模块 30、 一无人机姿态编辑模块 40、 一云台姿态编辑模块 50、 一拍摄参数编辑模 块 60、 以及一发送模块 70。
所述无人机上设置有云台、 GPS定位装置、 惯性测量单元、 高度测 量装置等。 该云台用于搭载一成像装置, 例如摄像机、 照相机、 望远镜、 远程摄像机和测量仪等, 用以实现所述成像装置的固定、 随意调节所述 成像装置的姿态 (例如: 改变所述成像装置的倾角和拍摄方向), 以实 现高^量的拍摄和 /或照相等。 所述云台上也设置有一姿态传感器 (GCU/IMU) , 用于感测云台的姿态。
本发明实施例中, 无人机搡作人员遥控无人机在目标附近进行飞 行, 采集拍摄取景的相关航点信息。 在一些关键的地点, 飞行搡作人员 控制无人机悬停, 搡作人员对无人机的位置和姿态、 云台的姿态、 以及 成像装置的拍摄参数进行调节, 类似于传统的定点摄影, 由于时间充裕, 各场景独立, 摄影师可以完成高^量的取景。 所述无人机的 GPS定位装 置用于获取无人机的位置信息, 所述惯性测量装置用于测量无人机的飞 行姿态信息。
所述无人机通过在飞行过程中, 所述 GPS定位装置采集所述无人机 的定位数据、 所述高度测量装置同时采集的无人机的飞行高度信息、 和 所述惯性测量装置采集的无人机的飞行姿态信息。
所述接收模块 10用于接收并记录所述无人机预先飞行的定位数据、 无人机的飞行高度信息、 无人机的飞行姿态信息、 成像装置的拍摄角度 信息、 成像装置的拍摄参数以及成像装置拍摄的图像信息。
所述飞行轨迹生成模块 20用于根据所述接收模块 10接收的所述无 人机的定位数据、 无人机的飞行高度信息、 和所述无人机的姿态信息计 算所述无人机的飞行轨迹。
本实施例中, 所述飞行轨迹生成模块 20通过离散位置坐标点拟合连 续轨迹的方法生成飞行轨迹。 具体为:
第一种是所述飞行轨迹生成模块 20将相邻位置坐标点通过直线进 行连接, 即线性插值法, 当曲线轨迹上的采样点足够多时, 通过各采样 点的折线可视为近似轨迹。
第二种是所述飞行轨迹生成模块 20通过对采集的离散点数据进行 平滑过渡, 形成一条平滑曲线来近似定位无人机的飞行轨迹, 即非线性 的插值方法。 目前在工程上运用比较广泛的是多项式插值, 这种方法能 够在一定程度上减少拟合曲线与实际轨迹曲线之间的误差。
本实施例中, 所述飞行轨迹为贝塞尔曲线。 所述飞行轨迹包含多个 对应于无人机悬停的位置的节点。
在其他实施例中, 所述航点也可只包括无人机的定位数据和飞行高 度信息, 不包括无人机的飞行姿态信息, 因此, 所述飞行轨迹生成模块 20只通过所述无人机的定位数据、 和飞行高度信息来计算所述无人机的 飞行轨迹。 所述飞行轨迹编辑模块 30用于编辑所述飞行轨迹生成模块 20计算 的所述无人机的飞行轨迹, 以得到一新的飞行轨迹。
本实施例中, 当所述搡作员通过鼠标任意点击飞行轨迹上的一点 时, 所述电脑会结合地图显示所述无人机在该轨迹上的一点的定位数 据、 飞行高度信息、 无人机的姿态信息、 所述成像装置的姿态信息、 以 及成像装置对应该点时拍摄的图像。
由于所述飞行轨迹包含多个对应于无人机悬停的位置的节点, 如图 2所示, 节点 1、 节点 2、 节点 3、 节点 4、 节点 5和节点 6, 且搡作员可通 过电脑观看所述无人机在该轨迹上的任意一点的定位数据、 飞行高度信 息、 无人机的姿态信息、 所述成像装置的姿态信息、 以及成像装置对应 该点时拍摄的图像。 因此, 当所述飞行轨迹不为直线的前提下, 搡作人 员希望下次所述无人机飞行时不经过节点 2, 则直接将该不欲经过的节 点的相邻两个节点之间, 如节点 1与节点 3, 直接直线相连, 在节点 1与 节点 3之间产生光滑的优化航线。
在其他情况下, 当搡作人员希望下次所述无人机飞行时不经过节点 2和节点 3时, 所述飞行轨迹编辑模块 30则直接将所述飞行轨迹中断开的 两个节点之间, 如节点 1与节点 4, 直接直线相连。
可以理解的是, 所述飞行轨迹编辑模块 30编辑新飞行轨迹的方式并 不限于采用直线相连的方式, 也可采用任意两个节点之间通过编辑成贝 塞尔曲线等方式, 以产生光滑的优化航线, 贝塞尔曲线来实现拟合, 其 原因: 一是通过贝塞尔控制点可以很方便的定义曲线的轨迹, 而这些控 制点正好可以结合飞行器实际移动过程中的特性 (如速度、 方向等), 自然就达到了更贴近飞行轨迹的效果; 二是在分段插值过程中贝塞尔曲 线也能保持很好的平滑度, 整体效果好于其它分段插值方法。
所述无人机姿态编辑模块 40用于编辑所述无人机的姿态。
当所述航点还包括无人机的飞行姿态信息时, 所述无人机姿态编辑 模块 40编辑无人机的飞行姿态信息, 如无人机的俯仰角信息、 横滚角信 息和航向角信息。 本实施例中, 当所述无人机姿态编辑模块 40在其中一 节点编辑了所述无人机的姿态信息时, 则从该节点到下一节点之间, 所 述无人机按到编辑好的姿态动作。 可以理解的是, 在其他实施例中, 也 可以是当所述无人机姿态编辑模块 40在其中一节点编辑了所述无人机 的姿态信息时, 则整个航线, 所述无人机都按到编辑好的无人机的姿态 动作。
所述云台姿态编辑模块 50用于编辑所述成像装置的姿态信息。 本实施例中, 所述无人机上的云台为三轴云台, 其包括俯仰轴、 横 滚轴和航向轴。 所述成像装置设置于所述云台可随云台转动而转动。 针 对任一节点, 所述云台姿态编辑模块 50参照所述接收模块 10接收并记录 所述成像装置的拍摄角度信息、 以及成像装置拍摄的图像信息, 对所述 云台的转动参数进行编辑, 也即, 根据需求编辑三轴的转动角度。 本实 施例中, 当所述云台姿态编辑模块 50在其中一节点编辑了所述云台的姿 态信息时, 则从该节点到下一节点之间, 所述云台按到编辑好的云台的 转动参数动作。 可以理解的是, 在其他实施例中, 也可以是当所述云台 姿态编辑模块 50在其中一节点编辑了所述云台的姿态信息时, 则整个航 线, 所述云台都按到编辑好的云台的转动参数动作。 所述云台姿态编辑 模块 50也可同时在多个节点分別对所述云台的姿态信息进行编辑, 并不 限于本实施例。
在其他实施例中, 所述云台也可为单轴或两轴云台。
所述拍摄参数编辑模块 60用于编辑所述成像装置的拍摄参数, 所述 拍摄参数包括光圈大小和快门大小等。 本实施例中, 当所述拍摄参数编 辑模块 60在其中一节点编辑了所述成像装置的拍摄参数时, 则从该节点 到下一节点之间, 所述成像装置按到编辑好的拍摄参数拍摄。 可以理解 的是, 在其他实施例中, 也可以是当所述拍摄参数编辑模块 50在其中一 节点编辑了所述成像装置的拍摄参数时, 则整个航线, 所述成像装置都 按到编辑好的拍摄参数拍摄。
所述发送模块 70用于传送所述飞行轨迹编辑模块 30编辑好的所述 新的飞行轨迹、 所述无人机姿态编辑模块 40编辑好的成像装置的姿态信 息, 所述云台姿态编辑模块 50编辑好的成像装置的姿态信息以及拍摄参 数编辑模块 60编辑好的成像装置的拍摄参数至所述无人机, 以使所述无 人机按新的飞行轨迹飞行, 所述云台的各轴按编辑好的转动角度旋转。
无人机的航向生成方法和系统, 能够代替人工在拍摄现场对飞机的 实时精确控制, 大大缩减了人为飞行搡作时间, 避免人为因素对航拍^ 量的影响, 同时, 又可避免在地图上设置航点的盲目性, 从而能够保证 实现拍摄的最佳角度和距离和保证飞行器及其机载设备能够快速高效 地完成高^量航拍作业。
在本发明所提供的几个实施例中, 应该理解到, 所揭露的系统, 装 置和方法, 可以通过其它的方式实现。 例如, 以上所描述的装置实施例 仅仅是示意性的, 例如, 所述模块或单元的划分, 仅仅为一种逻辑功能 划分, 实际实现时可以有另外的划分方式, 例如多个单元或组件可以结 合或者可以集成到另一个系统, 或一些特征可以忽略, 或不执行。 另一 点, 所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过 一些接口, 装置或单元的间接耦合或通信连接, 可以是电性, 机械或其 它的形式。 的, 作为单元显示的部件可以是或者也可以不是物理单元, 即可以位于 一个地方, 或者也可以分布到多个网络单元上。 可以根据实际的需要选 择其中的部分或者全部单元来实现本实施例方案的目的。
另外, 在本发明各个实施例中的各功能单元可以集成在一个处理单 元中, 也可以是各个单元单独物理存在, 也可以两个或两个以上单元集 成在一个单元中。 上述集成的单元既可以采用硬件的形式实现, 也可以 采用软件功能单元的形式实现。
所述集成的单元如果以软件功能单元的形式实现并作为独立的产 品销售或使用时, 可以存储在一个计算机可读取存储介^中。 基于这样 的理解, 本发明的技术方案本 ^上或者说对现有技术做出贡献的部分或 者该技术方案的全部或部分可以以软件产品的形式体现出来, 该计算机 软件产品存储在一个存储介 ^中, 包括若干指令用以使得一台计算机设 备(可以是个人计算机,服务器, 或者网络设备等)或处理器(processor) 执行本发明各个实施例所述方法的全部或部分步骤。 而前述的存储介^ 包括: U盘、 移动硬盘、 只读存储器 (ROM, Read-Only Memory) , 随 机存取存储器 (RAM, Random Access Memory )、 磁碟或者光盘等各种 可以存储程序代码的介^。
以上所述仅为本发明的实施例, 并非因此限制本发明的专利范围, 凡是利用本发明说明书及附图内容所作的等效结构或等效流程变换, 或 直接或间接运用在其他相关的技术领域, 均同理包括在本发明的专利保 护范围内。

Claims

权 利 要 求 书
1.一种无人机的航向生成方法, 其包括以下步骤:
预先取景飞行, 接收并记录无人机的飞行航点, 所述航点包括无人 机的定位数据和飞行高度信息;
根据取景飞行的航点生成一飞行轨迹;
编辑所述飞行轨迹, 以得到一新的飞行轨迹;
传送编辑好的所述新的飞行轨迹至所述无人机, 以使所述无人机按 新的飞行轨迹飞行。
2.如权利要求 1 所述的航向生成方法, 其特征在于, 进一步包括一 步骤: 编辑成像装置的姿态信息, 传送编辑好的成像装置的姿态信息至 所述无人机, 以使所述成像装置按编辑好的姿态摄影。
3.如权利要求 2所述的航向生成方法, 其特征在于, 所述无人机上 设置一个云台, 其包括至少一转动轴, 所述成像装置设置于所述云台可 随云台转动而转动, 编辑成像装置的姿态信息也即编辑云台的至少一转 动轴的转动角度。
4. 如权利要求 1所述的航向生成方法, 其特征在于, 进一步包括步 骤: 编辑成像装置的拍摄参数, 传送编辑好的成像装置的拍摄参数至所 述无人机, 以使所述成像装置按编辑好的拍摄参数摄影。
5.如权利要求 1 所述的航向生成方法, 其特征在于, 通过对采集的 离散点数据进行平滑过渡, 形成一条平滑曲线来定位无人机的飞行轨 迹。
6.如权利要求 1 所述的航向生成方法, 其特征在于, 通过各采样点 的折线来定位无人机的飞行轨迹。
7.如权利要求 1 所述的航向生成方法, 其特征在于, 进一步包括步 骤: 记录成像装置拍摄的图像信息, 结合地图显示所述无人机在该轨迹 上的一点的定位数据以及飞行高度信息, 所述成像装置的姿态信息、 以 及成像装置对应该点时拍摄的图像, 编辑所述新的飞行轨迹。
8.如权利要求 1 所述的航向生成方法, 其特征在于, 所述飞行轨迹 包含多个对应于无人机悬停的位置的节点, 两个断开的节点之间通过编 辑成贝塞尔曲线的方式产生光滑的优化航线。
9.如权利要求 1 所述的航向生成方法, 其特征在于, 进一步包括一 步骤: 编辑无人机的姿态信息, 传送编辑好的无人机的姿态信息至所述 无人机, 以使所述无人机按编辑好的姿态飞行。
10.如权利要求 9所述的航向生成方法, 其特征在于, 所述编辑无人 机的姿态信息为编辑无人机的俯仰角信息、 横滚角信息和航向角信息。
11.一种无人机的航向生成系统, 其包括:
一接收模块, 用于接收并记录无人机预先飞行的飞行航点, 所述飞 行航点包括无人机的定位数据、 和无人机的飞行高度信息;
一飞行轨迹生成模块, 用于根据所述接收模块接收的飞行航点计算 所述无人机的飞行轨迹;
一飞行轨迹编辑模块, 用于编辑所述飞行轨迹生成模块计算的所述 无人机的飞行轨迹, 以得到一新的飞行轨迹;
一发送模块, 用于传送所述飞行轨迹编辑模块编辑好的所述新的飞 行轨迹至所述无人机, 以使所述无人机按新的飞行轨迹飞行。
12.如权利要求 11 所述的航向生成系统, 其特征在于, 所述无人机 上设置有云台, 所述云台用于搭载一成像装置, 所述航向生成系统进一 步包括一云台姿态编辑模块, 所述接收模块接收并记录成像装置拍摄的 图像信息, 所述云台姿态编辑所述成像装置的姿态信息。
13.如权利要求 12所述的航向生成系统, 其特征在于, 所述无人机 上的云台包括至少一转动轴, 所述成像装置设置于所述云台可随云台转 动而转动, 编辑成像装置的姿态信息也即编辑所述至少一转动轴的转动 角度。
14.如权利要求 12所述的航向生成系统, 其特征在于, 所述航向生 成系统进一步包括一拍摄参数编辑模块, 用于编辑所述成像装置的拍摄 参数, 所述发送模块传送编辑好的拍摄参数至所述无人机, 以使所述成 像装置按编辑好的拍摄参数摄影。
15.如权利要求 11 所述的航向生成系统, 其特征在于, 所述飞行轨 迹生成模块通过对采集的离散点数据进行平滑过渡, 形成一条平滑曲线 来定位无人机的飞行轨迹。
16.如权利要求 11 所述的航向生成系统, 其特征在于, 所述飞行轨 迹生成模块通过各采样点的折线来定位无人机的飞行轨迹。
17.如权利要求 11 所述的航向生成系统, 其特征在于, 所述飞行轨 迹包含多个对应于无人机悬停的位置的节点, 所述飞行轨迹编辑模块采 用两个节点之间通过编辑成贝塞尔曲线的方式产生光滑的优化航线。
18.如权利要求 11所述的航向生成系统, 其特征在于, 所述航点进一 步包括无人机的姿态信息, 所述航向生成系统进一步包括一无人机姿态 编辑模块, 用于编辑所述无人机的姿态信息, 所述发送模块还用于传送 所述无人机姿态编辑模块编辑好的无人机的姿态信息至所述无人机。
19.如权利要求 18所述的航向生成系统, 其特征在于, 所述无人机 姿态编辑模块用于编辑无人机的俯仰角信息、 横滚角信息和航向角信 息。
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