In this paper, we present a real-time obstacle avoidance method for fixed-wing unmanned aerial vehicles (UAVs) in complex environment. The Rapidly-exploring Random Tree(RRT) algorithm is used in this method. In order to adapt the RRT algorithm on fixed-wing platforms, we make extensions on it. The algorithm demonstrates very good performance in trajectory planning for fixed-wing vehicles in three-dimensional environment and dynamic environment. We analyze the algorithm theoretically and provide simulation results. We also demonstrate our method on a fixed-wing vehicle flying over a runway with multiple obstacles. The application of this method will greatly improve the survival ability of fixed-wing vehicles in complex environment. It is significant in elevation of autonomous level of UAV.


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    Titel :

    Real-time obstacle avoidance for fixed-wing vehicles in complex environment


    Beteiligte:
    Rong Ma (Autor:in) / Wen Ma (Autor:in) / Xiaolong Chen (Autor:in) / Jia Li (Autor:in)


    Erscheinungsdatum :

    01.08.2016


    Format / Umfang :

    248534 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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