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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    Title :

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


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Liu, Jun (editor) / Wang, Yongcai (editor) / Wu, Bin (editor) / Jiang, Zehao (editor) / Xiao, Yao (editor) / Muriatoy, Lootha Loserian (author) / Wang, Gaihui (author) / Dong, Yixuan (author) / Sun, Dingxiang (author) / Huang, Zhiqiu (author)

    Conference:

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



    Publication date :

    2025-03-16


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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