This paper studies the mission planning of a single UAV, and proposes a rapid mission planning method for UAVs based on the Voronoi diagram genetic algorithm. Taking the shortest coordinated strike path as the objective function, the Voronoi diagram is used to divide the task environment space, which effectively reduces the space complexity of the solution. On the basis of the centralized mission planning architecture, the genetic algorithm based on the Voronoi diagram is used to realize the rapid solution of the problem and the mission planning of the UAV. The simulation results show that this method can effectively select the initial base and complete the coordinated strike mission of multiple targets.


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    Titel :

    An optimized genetic algorithm for single UAV mission planning


    Beteiligte:
    Wei, Tan (Autor:in) / Hu, Yongjiang (Autor:in) / Zhao, Yuefei (Autor:in) / Li, Wenguang (Autor:in) / He, Jin (Autor:in) / Zhen, Zhiming (Autor:in)

    Kongress:

    Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021) ; 2021 ; Chongqing,China


    Erschienen in:

    Proc. SPIE ; 12081


    Erscheinungsdatum :

    07.02.2022





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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