A Deep Reinforcement Learning Based Collision Avoidance Algorithm for USV in Narrow Channel

The utilization of deep reinforcement learning (DRL) algorithms presents a viable approach to addressing the collision avoidance problem for unmanned surface vehicles (USVs) in complex environments. However, DRL-based algorithms are subject to certain limitations, which including difficulties in con...

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Veröffentlicht in:	International Symposium on Autonomous Systems (Online) S. 1 - 6
Hauptverfasser:	Lin, Yuchang, Song, Rui, Qu, Dong
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 23.05.2025
Schlagworte:	Autonomous vehicles Collision avoidance Deep reinforcement learning Heuristic algorithms Narrow environment Navigation Position control Safety Simulation Soft-Actor Critics Training Unmanned surface vehicle Vehicle dynamics
ISSN:	2996-3850
Online-Zugang:	Volltext
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