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

  • 会议论文

  • 发表日期：

    2025年

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  • Lootha Loserian Muriatoy,
  • Gaihui Wang,
  • Yixuan Dong,
  • Dingxiang Sun,
  • Zhiqiu Huang,
  • Haoliang Wang

摘要

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.