Software imitation for unmanned aerial vehicle landing scenes

To offer a cost-effective solution to the research of vision-guide algorithm for UAV (unmanned aerial vehicle) with vertical takeoff and landing capability, the imaging principle and imitation technology of UAV landing scenes based on the theory of machine vision was employed. The pinhole camera model including lens distortion parameters was established. Moreover, a method of adjacent region search was introduced to decrease the singularities in the imitation images caused by the lens distortion. To get more veracious imitation of landing scenes, some main interferential factors of the unmanned vehicle landing, such as the blurring induced by the light amplitude non-uniformity, image motion, as well as the noise from electronic and photometric source, were also considered. The software for real time generation of scene images was developed by C++ and windows operating system. The results of simulation including images and data are presented at the end.