Method for collision avoidance based on deep reinforcement learning with Path–Speed control for an autonomous ship

IF 2.3 3区 工程技术 Q2 ENGINEERING, MARINE International Journal of Naval Architecture and Ocean Engineering Pub Date : 2023-12-01 DOI:10.1016/j.ijnaoe.2023.100579
Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, Donghun Yu
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基于深度强化学习的自动驾驶船舶路径速度控制防撞方法
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来源期刊
CiteScore
4.90
自引率
4.50%
发文量
62
审稿时长
12 months
期刊介绍: International Journal of Naval Architecture and Ocean Engineering provides a forum for engineers and scientists from a wide range of disciplines to present and discuss various phenomena in the utilization and preservation of ocean environment. Without being limited by the traditional categorization, it is encouraged to present advanced technology development and scientific research, as long as they are aimed for more and better human engagement with ocean environment. Topics include, but not limited to: marine hydrodynamics; structural mechanics; marine propulsion system; design methodology & practice; production technology; system dynamics & control; marine equipment technology; materials science; underwater acoustics; ocean remote sensing; and information technology related to ship and marine systems; ocean energy systems; marine environmental engineering; maritime safety engineering; polar & arctic engineering; coastal & port engineering; subsea engineering; and specialized watercraft engineering.
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