Unmanned aerial vehicle course generation method and system

Abstract

The invention discloses an unmanned aerial vehicle course generation method which includes the following steps: conducting view finding and flying in advance, recording flight waypoints which include location data and flight height information of an unmanned aerial vehicle; receiving and recording the flight waypoints of the unmanned aerial vehicle; generating a flight track according to the flight waypoints of the view finding and flying; compiling the flight track to obtain a new flight track; transmitting the complied flight track to the unmanned aerial vehicle to enable the unmanned aerial vehicle to fly according to the new flight track. An unmanned aerial vehicle course generation system is further provided.

Description

technical field [0001] The invention relates to the field of unmanned aerial vehicles, in particular to a method and system for generating a heading of an unmanned aerial vehicle. Background technique [0002] In aerial photography tasks, the key to the effect of aerial photography is framing. Like traditional photography, the location, angle and shooting parameters of the framing largely determine the quality and artistry of the shooting material. In traditional fixed-point photography and videography, the photographer can adjust the camera calmly in a fixed position until he finds a satisfactory framing and parameters before shooting, and then enters the next scene after completion. The shooting and framing of each scene will not interfere with each other . Different from traditional photography, in aerial photography, the camera is not static, but in a continuous real-time motion state. It is more difficult to ensure that the framing and parameters at every moment of the...

AI Technical Summary

Problems solved by technology

[0004] For the generation method of the above-mentioned first aerial photography route, since it is difficult to achieve accurate and perfect results every time, the flight operator needs to take multiple flight shots around the target object or scene, which not only increases the time of flight operation and the cost of hiring a flight operator, and it is difficult to guarantee the quality of the shooting

Pilots with high proficiency can precisely control the route, but such operators are very rare. At the same time, it is difficult for professional photographers and pilot colleges to cooperate and communicate.

As for the second method, although the dependence on the pilot is reduced, it is blind to artificially set waypoints on the map simply because what you see is what you get. These waypoints cannot guarantee the best shooting distance and angle. And the efficiency of continuous shooting cannot be guaranteed

If there is an object that is not marked on the map, such as a tree or a new building, the way the route is planned on the map will bring safety hazards, such as hitting the building in the actual flight

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