A software platform for vision-based UAV autonomous landing guidance based on markers estimation

The paper concentrated on descripting the methods of UAV autonomous landing on moving target. GPS navigation and vision-based navigation were employed during different stage of autonomous landing in the simulation environment and virtual reality. Uncertain markers estimation is the main step for UAV autonomous landing. It contains the convex hull transformation, interference preclusion, ellipse fitting and specific feature matching. Furthermore, the complete visual measurement program and guidance strategy were proposed in this paper. Considerable comprehensive experiments indicated the significance and feasibility of method of vision-based UAV autonomous landing on moving target.