This paper studies a path planning problem of unmanned surface vehicle (USV) swarm for maritime search and rescue. Firstly, an environmental model suitable for the path planning of USV swarm is established by using a grid method. Secondly, A task area is divided by using a K-means algorithm to convert the coverage path planning problem into a traveling salesman problem, which is then solved using an artificial bee colony algorithm. A coverage path planning method for maritime search and rescue is designed based on the K-means algorithm, artificial bee colony algorithm, and the traveling salesman problem. Finally, simulation results demonstrate the effectiveness of the proposed coverage path planning algorithm.


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    Titel :

    Research on Coverage Path Planning of Unmanned Surface Vehicle Swarm for Maritime Search and Rescue


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Liu, Jun (Herausgeber:in) / Wang, Yongcai (Herausgeber:in) / Wu, Bin (Herausgeber:in) / Jiang, Zehao (Herausgeber:in) / Xiao, Yao (Herausgeber:in) / Muriatoy, Lootha Loserian (Autor:in) / Wang, Gaihui (Autor:in) / Dong, Yixuan (Autor:in) / Sun, Dingxiang (Autor:in) / Huang, Zhiqiu (Autor:in)

    Kongress:

    International Conference on Artificial Intelligence and Autonomous Transportation ; 2024 ; Beijing, China December 06, 2024 - December 08, 2024



    Erscheinungsdatum :

    16.03.2025


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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