An Obstacle Avoidance Strategy for AUV Based on State-Tracking Collision Detection and Improved Artificial Potential Field

This paper proposes a fusion algorithm based on state-tracking collision detection and the simulated annealing potential field (SCD-SAPF) to address the challenges of obstacle avoidance for autonomous underwater vehicles (AUVs) in dynamic environments. Navigating AUVs in complex underwater environme...

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Auteurs principaux:	Yueming Li, Yuhao Ma, Jian Cao, Changyi Yin, Xiangyi Ma
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2024-04-01
Collection:	Journal of Marine Science and Engineering
Sujets:	autonomous underwater vehicles obstacle avoidance dynamic obstacle prediction dynamic models artificial potential field
Accès en ligne:	https://www.mdpi.com/2077-1312/12/5/695
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