An Autonomous Navigation Algorithm for Monocular Visual Recognition

Aiming at the target identification and navigation problem of quadrotor aircraft, this paper designs a monocular vision recognition and autonomous navigation method. According to the imaging principle of the camera, the linear model without distortion of the lens is selected and its internal parameters are obtained through the camera calibration method. The images captured by the camera and combined with the OpenCV library function are processed in real time to realize the target recognition function of the UVA.