Research on the collaborative search problem of unmanned surface vehicles

Xing Liu; Jianyi Li; Bing Yang; Qinghua Huo; Kali Feng; Bo Hou; Zhenghua Guo

doi:10.1117/12.2689653

7 September 2023 Research on the collaborative search problem of unmanned surface vehicles

Xing Liu, Jianyi Li, Bing Yang, Qinghua Huo, Kali Feng, Bo Hou, Zhenghua Guo

Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127905F (2023) https://doi.org/10.1117/12.2689653
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China

Abstract

Unmanned Surface Vehicle (USV) collaborative search is a key task. In this case, multiple USV need to work together to achieve target search and positioning. Path planning is one of the core issues in collaborative search. This article takes multiple USV formations as the research object and discusses target search methods in the formation form. By analyzing the formation search problem, a formation collaborative search method is designed that can meet the requirements of regional coverage and improve overall search efficiency. Finally, through simulation verification, this article proves that the proposed path planning method can effectively improve search efficiency, and has good applicability and stability. The research results of this article have important practical application value for improving the efficiency and capability of maritime anti-submarine cooperative operations.

Citation Download Citation

Xing Liu, Jianyi Li, Bing Yang, Qinghua Huo, Kali Feng, Bo Hou, and Zhenghua Guo "Research on the collaborative search problem of unmanned surface vehicles", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127905F (7 September 2023); https://doi.org/10.1117/12.2689653

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