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

引用次数: 0

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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

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Naval Architecture and Ocean Engineering ENGINEERING, MARINE-

CiteScore

4.90

自引率

4.50%

发文量

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.