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A path planning approach for unmanned surface vehicles based on improved artificial potential field algorithm and COLREGS

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成果类型:
期刊论文、会议论文
作者:
Li, Jing;Wan, Lili
通讯作者:
Li, J
作者机构:
[Li, Jing; Wan, Lili] Wuhan Polytech Univ, Sch Elect & Elect Engn, Wuhan 430023, Peoples R China.
通讯机构:
[Li, J ] W
Wuhan Polytech Univ, Sch Elect & Elect Engn, Wuhan 430023, Peoples R China.
语种:
英文
关键词:
Artificial potential field algorithm;COLREGS;Path planning;USV
期刊:
2024 43RD CHINESE CONTROL CONFERENCE, CCC 2024
ISSN:
2161-2927
年:
2024
页码:
4290-4294
会议名称:
2024 43rd Chinese Control Conference (CCC)
会议论文集名称:
2024 43rd Chinese Control Conference (CCC)
会议时间:
28 July 2024
会议地点:
Kunming, China
会议主办单位:
[Li, Jing;Wan, Lili] Wuhan Polytech Univ, Sch Elect & Elect Engn, Wuhan 430023, Peoples R China.
主编:
Na, J Sun, J
出版地:
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者:
IEEE
ISBN:
979-8-3503-6690-7
基金类别:
Natural Science Fund of Hubei Province [2022CFB449]
机构署名:
本校为第一且通讯机构
院系归属:
电气与电子工程学院
摘要:
Path planning is a core issue of autonomous navigation for unmanned surface vehicles (USVs). To guarantee navigation safety, this paper proposes an Improved Artificial Potential Field (IAPF) algorithm for path planning of USVs. On the one hand, to solve the local optimal problem of artificial potential field (APF) algorithm, an adjustment factor is introduced in the repulsive potential field function. On the other hand, to ensure the collision avoidance safety in complex encounter scenarios, the International Regulations for Preventing Collisions at Sea (COLREGS) is utilized in the IAPF algori...

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