This paper presents a 3D online path planning algorithm for Unmanned Aerial Vehicles (UAVs) equipped with limited range sensors and computational resources in unknown cluttered environments. Even though quadrotor UAVs are considered to be a promising technology for surveillance purposes in indoor environments and for close observation in outdoor urban areas, it is very difficult to achieve autonomous aerial navigation toward a goal avoiding unpredicted collisions. Furthermore, greater attention and effort should be aimed at improving the computational efficiency and performance of path planning algorithms. The proposed heuristic algorithm offers on-the-fly path findings with a lesser computational complexity. We demonstrate the efficiency of our algorithm in a real world scenario implemented using the V-REP simulator.


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    Titel :

    Exploration Priority Based Heuristic Approach to UAV path planning


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    2013-08-01


    Format / Umfang :

    556517 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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