Dynamic collision avoidance for maritime autonomous surface ships based on deep Q-network with velocity obstacle method

To address the dynamic obstacle environment collision avoidance challenge of the marine autonomous surface ships (MASS), a decision-making method based on the deep Q-learning (DQN) and velocity obstacle (VO) algorithm is proposed. Firstly, the encounter situation identification criteria are optimize...

Celý popis

Podrobná bibliografia

Vydané v:	Ocean engineering Ročník 320; s. 120335
Hlavní autori:	Li, Yuqin, Wu, Defeng, Wang, Hongdong, Lou, Jiankun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.03.2025
Predmet:	Collision avoidance COLREGs Deep Q-network algorithm Random collision scenario generation Velocity Obstacle algorithm COLREGs Deep Q-network algorithm Collision avoidance Random collision scenario generation Velocity Obstacle algorithm
ISSN:	0029-8018
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!