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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Detalhes bibliográficos

Principais autores:	Yueming Li, Yuhao Ma, Jian Cao, Changyi Yin, Xiangyi Ma
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-04-01
coleção:	Journal of Marine Science and Engineering
Assuntos:	autonomous underwater vehicles obstacle avoidance dynamic obstacle prediction dynamic models artificial potential field
Acesso em linha:	https://www.mdpi.com/2077-1312/12/5/695
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