Research on the accurate fixed point algorithm for the landing of the UAV on the Arctic buoy

In recent years, polar exploration has tended to be unmanned. And in all walks of life, UAV cooperative work has become the mainstream. This project plans to launch a sea ice observation buoy that carries a UAV in the Arctic. However, the buoy drifts along with the sea ice, which makes it difficult for the UAV to drop back to the buoy accurately. The UAV is equipped with laser emission module and image acquisition and processing module. The airborne camera takes pictures of the platform, and processes the collected images, so as to extract the center coordinates of the light spot, and realize the accurate fixed-point landing of the UAV. In view of the influence of the complex environment of Arctic polar day and night on the extraction of spot center coordinates, this paper combines the least square method to fit the circle edge and the center of gravity method to extract spot center coordinates, and proposes two modes of day and night. The simulation experiment is carried out, the running time of the program is counted, and the data is compared. The results show that the algorithm can meet the expected requirements.