Dynamic target tracking technology has a broad application prospect in marine transportation, intelligent marine monitoring, border and coastal defense, etc. However, most target tracking guidance systems designed for unmanned surface vehicles (USVs) lack automatic obstacle avoidance capabilities, which limits their tracking performance. To address this challenge, this paper investigates target tracking guidance for USVs in the presence of obstacles. In order to track the target, the sensors fixed on the bow of the USVs need to be oriented toward the target, especially when the USV is sufficiently close to the target. For this purpose, a bias proportional navigation guidance law with look angle constraints is presented for guiding the follower USVs to orient and approach the moving target. In order to navigate the USVs along a safe route to avoid obstacles, the obstacle profile angle constraint is formulated into the guidance law by solving the bias function with final angle boundary conditions. The field experimentation takes place in a 40-meter-wide and 80-meter-long section of the Huchuntang River. Here, a USV equipped with the proposed guidance law effectively tracks a moving target while navigating around obstacles. Results indicate that the proposed guidance law is capable of tracking the object, avoiding obstacles, and orienting the USV to the target at the final time. The experimental test video is presented in (https://youtu.be/l5SQf2ZgcxM).


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    Title :

    A Target Tracking Guidance for Unmanned Surface Vehicles in the Presence of Obstacles


    Contributors:
    Du, Bin (author) / Xie, Wei (author) / Zhang, Weidong (author) / Chen, Hongtian (author)


    Publication date :

    2024-05-01


    Size :

    2743599 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English






    Ground Target Tracking for Unmanned Aerial Vehicles

    Oliveira, T. / Encarnacao, P. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2010


    Ground Target Tracking for Unmanned Aerial Vehicles

    Oliveira, Tiago / Encarnação, Pedro | AIAA | 2010