This paper investigates the trajectory planning and target tracking of multiple unmanned aerial vehicles (UAVs) in the presence of static obstacles. Specifically, a composite strategy that exploits the action mechanism of multiple virtual pheromones in the environment is proposed, where the static obstacles, target and UAVs are characterized by the repulsive, attractive and traceable pheromones, respectively. Based on the responses to the described virtual pheromones simultaneously, the trajectory planning and target tracking can be achieved for each UAV. Simulation examples are provided to validate the proposed strategy.


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    Titel :

    Trajectory Planning and Target Tracking of UAVs Using Multiple Virtual Pheromones


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Li, Xiaoduo (Herausgeber:in) / Song, Xun (Herausgeber:in) / Zhou, Yingjiang (Herausgeber:in) / Li, Xinyi (Autor:in) / Xia, Kewei (Autor:in)

    Kongress:

    Chinese Conference on Swarm Intelligence and Cooperative Control ; 2023 ; Nanjing, China November 24, 2023 - November 27, 2023



    Erscheinungsdatum :

    15.06.2024


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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