arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2104.01272cs.ROcs.SYeess.SY

Visual Servoing Approach for Autonomous UAV Landing on a Moving Vehicle

Amazon(亚马逊公司);West Virginia University(西弗吉尼亚大学);Microsoft(微软公司);Gather AI(Gather AI公司);Mowito(Mowito公司);Carnegie Mellon University(卡内基梅隆大学)

Azarakhsh Keipour, Guilherme A. S. Pereira, Rogerio Bonatti, Rohit Garg, Puru Rastogi, Geetesh Dubey, Sebastian Scherer

英文摘要:

Many aerial robotic applications require the ability to land on moving platforms, such as delivery trucks and marine research boats. We present a method to autonomously land an Unmanned Aerial Vehicle on a moving vehicle. A visual servoing controller approaches the ground vehicle using velocity commands calculated directly in image space. The control laws generate velocity commands in all three dimensions, eliminating the need for a separate height controller. The method has shown the ability to approach and land on the moving deck in simulation, indoor and outdoor environments, and compared to the other available methods, it has provided the fastest landing approach. Unlike many existing methods for landing on fast-moving platforms, this method does not rely on additional external setups, such as RTK, motion capture system, ground station, offboard processing, or communication with the vehicle, and it requires only the minimal set of hardware and localization sensors. The videos and source codes are also provided.

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