Abstract:

In order to overcome the problem of cooperative object detection susceptible to disturbance in vision relative navigation for unmanned aerial vehicle (UAV) carrier landing, a robust detection and matching algorithm based on near infrared cooperative objects is proposed. Firstly, an imaging system based on near infrared cooperative objects with 850 nm is constructed. For the cooperative object image, a method of spatial geometric constraints is designed to remove the alien interference points. And Hu invariant moments are used to further filter out the similar interference points. Finally, a matching method based on shape context is adopted to deal with the difficulty in cooperative object matching due to the distortion of scale and angle. Experimental results show that the proposed algorithm can achieve cooperative object detection and matching robustly with different distances, different lights, different angles and environment disturbance.