Machine vision-based unmanned aerial vehicle automatic detection method and unmanned aerial vehicle control method

Abstract

The invention discloses a machine vision-based unmanned aerial vehicle automatic detection method and an unmanned aerial vehicle control method. According to the machine vision-based unmanned aerial vehicle automatic detection method and the unmanned aerial vehicle control method, an image acquisition device is utilized to automatically inspect the sky; adaption to the change of illumination is realized, and the direct irradiation of strong light is avoided; an image sequence of an area to be detected is obtained; a low-altitude aircraft such as an unmanned aerial vehicle is detected automatically according to target motion characteristics of images in the sequence and the difference of a target and background in each image; and the satellite positioning channel and remote control channel of the unmanned aerial vehicle are subjected to radio interference, so that control on the unmanned aerial vehicle can be realized. With the method of the invention adopted, a whole space domain can be monitored; the orientation of an optical imaging sensor can be automatically adjusted, so that the optical imaging sensor will not be exposed to the direct irradiation of strong light; and environmental background can be automatically learned in real time; and a target can be detected and captured. The method has strong adaptability to the environment and has outstanding economic and practical values.

Description

technical field [0001] The invention belongs to the technical field of image processing and pattern recognition, and more specifically, relates to a machine vision-based automatic detection method for unmanned aerial vehicles and a control method for unmanned aerial vehicles. Background technique [0002] UAV technology is becoming more and more mature, and there are no perfect laws and regulations for the time being, leading to the prevalence of "black flying". UAVs can flexibly reach areas that humans cannot reach, obtain confidential information, and endanger public safety. [0003] The existing radar-based UAV air defense detection system has poor anti-interference ability; and for the vast sky, the UAV is small in size, has low contrast with the sky background, and the background is complex and changeable. The human-machine detection system is prone to generate a large number of false alarms during the detection process, and the detection accuracy is low; and the radar...

AI Technical Summary

Problems solved by technology

[0003] The existing radar-based UAV air defense detection system has poor anti-interference ability; and for the vast sky, the UAV is small in size, has low contrast with the sky background, and the background is complex and c...

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