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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:
会议论文
作者:
Jing Li;Lili Wan
作者机构:
School of Electrical and Electronic Engineering, Wuhan Polytechnic University
语种:
中文
关键词:
Artificial potential field algorithm;COLREGS;Path planning;USV
年:
2024
页码:
66-70
会议名称:
第43届中国控制会议
会议时间:
2024-07-28
会议地点:
中国云南昆明
基金类别:
10.26914/c.cnkihy.2024.029473
机构署名:
本校为第一机构
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 algorithm....

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