Visual Servo Control-Based UAV Autonomous Landing

This paper addresses the problem of autonomous landing of UAV using position-based visual servoing (PBVS) approach. An autonomous landing strategy is proposed, utilizing marker detection with a downward-facing monocular camera, target pose estimation, and velocity command computation. Experiments are performed in both static and dynamic scenarios. The results validate the effectiveness of this approach, demonstrating successful UAV landing with an average accuracy of 0.0169 m, ensuring safety throughout the flight.