Research on Local Path Planning for Autonomous Collision Avoidance of USV

Peiqi Wang*, Xiaolan Yao, Qing Fei, Jiekun Meng

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

While sailing, unmanned surface vehicles (USVs) should avoid both static obstacles and moving ships, and the collision avoidance between two ships should follow COLREGs, which brings challenges to local path planning. This paper proposes a local path planning algorithm based on a three-stage collision avoidance strategy. The three stages correspond to the moving ship is far away, the moving ship is close but has a low risk of collision, and the moving ship is close and has a high risk of collision, respectively. In the first stage, a dynamic obstacle avoidance maneuverable range and an improved dynamic window approach are proposed, and the environmental influence is introduced to improve collision avoidance efficiency. In the second and third stages, this paper combines velocity obstacle and COLREGs to design the collision avoidance algorithm between USV and moving ship. In order to select the optimal dynamic target point, VO limit is introduced in the second stage, port limit and starboard scoring mechanism are introduced in the third stage. The experimental results show that the algorithm can realize the collision avoidance of USV effectively based on COLREGs.

源语言英语
主期刊名Proceedings - 2022 Chinese Automation Congress, CAC 2022
出版商Institute of Electrical and Electronics Engineers Inc.
5368-5373
页数6
ISBN(电子版)9781665465335
DOI
出版状态已出版 - 2022
活动2022 Chinese Automation Congress, CAC 2022 - Xiamen, 中国
期限: 25 11月 202227 11月 2022

出版系列

姓名Proceedings - 2022 Chinese Automation Congress, CAC 2022
2022-January

会议

会议2022 Chinese Automation Congress, CAC 2022
国家/地区中国
Xiamen
时期25/11/2227/11/22

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