It is aimed to provide an efficient algorithm for path planning in guidance of autonomous unmanned aerial vehicle (UAV) through 3D terrain environments.

    Design/methodology/approach

    As a stochastic search method, vibrational genetic algorithm (VGA) is improved and used to accelerate the algorithm for path planning.

    Findings

    Using VGA, an efficient path planning algorithm for autonomous UAV was obtained under low population rate and short generation cycle conditions.

    Originality/value

    VGA decreased the required time for optimal path solution beside its simplicity. Low population rate and short generation cycle are the main benefits of VGA.


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    Titel :

    Path planning for autonomous UAV via vibrational genetic algorithm


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    2007-07-10


    Format / Umfang :

    8 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Path planning for autonomous UAV via vibrational genetic algorithm

    Pehlivanoglu, Y.Volkan | Online Contents | 2007





    AUTONOMOUS PATH PLANNING

    GARIEL MAXIME MARIE CHRISTOPHE / LECERF MARC ALAIN / WILSON EVAN MICHAEL et al. | Europäisches Patentamt | 2020

    Freier Zugriff