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.
Research on Coverage Path Planning of Unmanned Surface Vehicle Swarm for Maritime Search and Rescue
Lect. Notes Electrical Eng.
International Conference on Artificial Intelligence and Autonomous Transportation ; 2024 ; Beijing, China December 06, 2024 - December 08, 2024
The Proceedings of 2024 International Conference on Artificial Intelligence and Autonomous Transportation ; Chapter : 35 ; 329-336
2025-03-16
8 pages
Article/Chapter (Book)
Electronic Resource
English
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