Unmanned aerial vehicle perception planning system and method applied to multiple scenes and unmanned aerial vehicle

Abstract

The invention belongs to the technical field of unmanned aerial vehicle flight control, and discloses an unmanned aerial vehicle perception planning system and method applied to multiple scenes and an unmanned aerial vehicle. A ground infrared sensor obtains flight parameters of the infrared sensor reflected or scattered back to the ground by the unmanned aerial vehicle in a detection area; the infrared sensor on the ground transmits the acquired flight parameters to a ground station, the ground station carries out data convergence with the flight data previously transmitted by the unmanned aerial vehicle and the flight parameters acquired by the infrared sensor on the ground to obtain different source data of the unmanned aerial vehicle subject and the object, and real-time analysis is carried out; whether the working state of the sensor carried by the unmanned aerial vehicle body is healthy is obtained. According to the system and the method, the unmanned aerial vehicle can judge the working state of the sensor to guarantee safe flight, and compared with an existing redundancy analysis method and the redundant equipment carrying technology, the system and the method have more advantages in economical efficiency and safety. The system and the method do not interfere with adjacent radio equipment, so that the system and the method have wide application in the fields of detection, measurement and the like.

Description

technical field [0001] The invention belongs to the technical field of UAV flight control, and in particular relates to a multi-scenario UAV perception planning system, method and UAV. Background technique [0002] At present, perception technology is an important part of flight control to ensure safe flight. UAV flight control system is the core subsystem to ensure flight stability and control flight attitude. The current perception technology in UAV system is based on gyroscope, accelerometer, magnetic compass , barometer, GNSS module and other sensor devices to obtain the current flight status parameters, and at the same time use certain algorithms to convert all the perceived environment information into a unified global coordinate for the next step of avoidance and path planning. [0003] In recent years, with the expansion of the UAV market, the use of UAVs has become more and more extensive, and how to ensure safe and reliable flight needs more attention. The sensor...

AI Technical Summary

Problems solved by technology

[0008] (1) In the existing technology, the accuracy of judging the working status of the UAV sensor is low, which will further lead to poor safety and reliability of UAV flight.

[0009] (2) In the existing technology, there is a high cost in the development and maintenance of the judgment accuracy of the working status of the UAV.

[0010] (3) The source of UAV flight parameters is single. Once there is a problem with one or more sensors, it will be a devastating blow to the UAV

[0011] The difficulty in solving the above problems and defects is: UAVs equipped with redundant equipment are poor in economy and compatibility, and the intelligent algorithm that takes into account both economy and accuracy is not yet mature, and it is impossible to guarantee the stability and effectiveness of current UAV equipment. Safety

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