Robust Decision-Making for the Reactive Collision Avoidance of Autonomous Ships against Various Perception Sensor Noise Levels

Autonomous ships are expected to extensively rely on perception sensors for situation awareness and safety during challenging operations, such as reactive collision avoidance. However, sensor noise is inevitable and its impact on end-to-end decision-making has not been addressed yet. This study aims...

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Autori principali:	Paul Lee, Gerasimos Theotokatos, Evangelos Boulougouris
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2024-03-01
Serie:	Journal of Marine Science and Engineering
Soggetti:	maritime autonomous surface ship reactive collision avoidance decision-making deep reinforcement learning deep deterministic policy gradient robustness
Accesso online:	https://www.mdpi.com/2077-1312/12/4/557
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