Autonomous UAV Landing System Based on Visual Navigation
This work addresses the challenge of precise landing for UAVs, which is incremental as it builds on existing visual navigation methods with specific improvements.
The paper tackles the problem of autonomous UAV landing by developing a visual navigation system using a topological pattern landmark and dynamic thresholding for detection, achieving robust and accurate performance in experiments on both static and moving platforms.
In this paper, we present an autonomous unmanned aerial vehicle (UAV) landing system based on visual navigation. We design the landmark as a topological pattern in order to enable the UAV to distinguish the landmark from the environment easily. In addition, a dynamic thresholding method is developed for image binarization to improve detection efficiency. The relative distance in the horizontal plane is calculated according to effective image information, and the relative height is obtained using a linear interpolation method. The landing experiments are performed on a static and a moving platform, respectively. The experimental results illustrate that our proposed landing system performs robustly and accurately.