This paper presents a new method for the autonomous landing of an unmanned aerial vehicle (UAV) on a moving ocean platform in simulation. The method uses GNSS data and a lightweight boat detection algorithm to guide the UAV toward the unmanned surface vehicle (USV). Once the USV is within the view of the down-looking camera, the UAV estimates its relative position by detecting a set of ArUco markers on the USV landing pad. During the descent process, to compensate for the heave motion of the USV caused by waves, the system utilizes data from a buoy equipped with a wave sensor. Simulation experiments demonstrate the reliability and effectiveness of the proposed approach.


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    Titel :

    Vision-Guided UAV Landing on a Swaying Ocean Platform in Simulation


    Beteiligte:
    Chen, Lingpeng (Autor:in) / Liu, Chongfeng (Autor:in) / Guo, Shuqi (Autor:in) / Qian, Huihuan (Autor:in)


    Erscheinungsdatum :

    17.07.2023


    Format / Umfang :

    1883489 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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