Article(id=1240655018685166442, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1240655017040991028, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1000-4653.2025.04.003, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1760112000000, receivedDateStr=2025-10-11, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773724806709, onlineDateStr=2026-03-17, pubDate=1766592000000, pubDateStr=2025-12-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773724806709, onlineIssueDateStr=2026-03-17, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773724806709, creator=13701087609, updateTime=1773724806709, updator=13701087609, issue=Issue{id=1240655017040991028, tenantId=1146029695717560320, journalId=1240618002186551303, year='2025', volume='48', issue='4', pageStart='1', pageEnd='199', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773724806318, creator=13701087609, updateTime=1773725219619, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1240656750618145316, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1240655017040991028, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1240656750618145317, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1240655017040991028, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=13, endPage=25, ext={EN=ArticleExt(id=1240655019809239918, articleId=1240655018685166442, tenantId=1146029695717560320, journalId=1240618002186551303, language=EN, title=Survey on research status of trajectory planning and control methods for autonomous ship berthing, columnId=1240655017754022712, journalTitle=Navigation of China, columnName=Special Invited Manuscripts, runingTitle=null, highlight=null, articleAbstract=

Autonomous berthing is a key element of intelligent navigation, yet its strong scenario dependence limits the application of theoretical research into actual implementations. Variations in ship type, propulsion configuration, and berth conditions impose distinct requirements on trajectory planning and control. At the same time, defining the completion criteria for autonomous berthing operation and establishing a comprehensive evaluation framework are essential for ensuring practicality and safety. This paper systematically reviews recent advances in trajectory planning and motion control for autonomous berthing. First, the key technical elements, including trajectory planning and motion control methods, are introduced. Second, different berthing strategies tailored to specific ship types and propulsion systems are analyzed in depth. Subsequently, berthing completion standards, performance evaluation metrics, and experimental validation approaches are discussed. Finally, the major challenges in the current research are summarized, and potential directions for future development are outlined.

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船舶自动靠泊是智能航行的重要环节,但其高度场景依赖性使研究成果难以直接转化为通用系统。不同船型、推进配置以及复杂泊位条件,对轨迹规划与控制策略均提出差异化要求。同时,科学定义靠泊完成状态并建立评价体系,是确保系统实用性与安全性的关键。本文系统梳理了近年来船舶自动靠泊轨迹规划与控制的研究进展:首先介绍关键技术要素,包括轨迹规划与运动控制方法;其次重点分析了面向特定船型与推进系统的差异化靠泊策略;随后讨论了靠泊完成标准、性能评估及试验验证方法;最后总结了当前研究面临的主要挑战,展望了未来发展方向。

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刘佳仑(1987—),男,博士,研究员,研究方向为船舶智能驾驶系统研发与测试。E-mail:
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李诗杰(1988—),女,博士,副教授,研究方向为船舶智能航行运动控制。E-mail:

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李诗杰(1988—),女,博士,副教授,研究方向为船舶智能航行运动控制。E-mail:

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船舶自动靠泊轨迹规划与控制研究进展
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李诗杰 1, 4 , 杨有为 1, 4 , 刘佳仑 1, 2, 3, 5 , 董智霖 1, 4
中国航海 | 特邀专稿 2025,48(4): 13-25
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中国航海 | 特邀专稿 2025, 48(4): 13-25
船舶自动靠泊轨迹规划与控制研究进展
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李诗杰1, 4 , 杨有为1, 4, 刘佳仑1, 2, 3, 5 , 董智霖1, 4
作者信息
  • 1.武汉理工大学 水路交通控制全国重点实验室,湖北 武汉 430063
  • 2.武汉理工大学 智能交通系统研究中心,湖北 武汉 430063
  • 3.武汉理工大学 国家水运安全工程技术研究中心,湖北 武汉 430063
  • 4.武汉理工大学 交通与物流工程学院,湖北 武汉 430063
  • 5.湖北东湖实验室,湖北 武汉 420202
  • 李诗杰(1988—),女,博士,副教授,研究方向为船舶智能航行运动控制。E-mail:

通讯作者:

刘佳仑(1987—),男,博士,研究员,研究方向为船舶智能驾驶系统研发与测试。E-mail:
Survey on research status of trajectory planning and control methods for autonomous ship berthing
Shijie LI1, 4 , Youwei YANG1, 4, Jialun LIU1, 2, 3, 5 , Zhilin DONG1, 4
Affiliations
  • 1.State Key Laboratory of Maritime Technology and Safety, Wuhan University of Technology, Wuhan 430063, China
  • 2.Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430063, China
  • 3.National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan 430063, China
  • 4.School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China
  • 5.East Lake Laboratory, Wuhan 420202, China
出版时间: 2025-12-25 doi: 10.3969/j.issn.1000-4653.2025.04.003
文章导航
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船舶自动靠泊是智能航行的重要环节,但其高度场景依赖性使研究成果难以直接转化为通用系统。不同船型、推进配置以及复杂泊位条件,对轨迹规划与控制策略均提出差异化要求。同时,科学定义靠泊完成状态并建立评价体系,是确保系统实用性与安全性的关键。本文系统梳理了近年来船舶自动靠泊轨迹规划与控制的研究进展:首先介绍关键技术要素,包括轨迹规划与运动控制方法;其次重点分析了面向特定船型与推进系统的差异化靠泊策略;随后讨论了靠泊完成标准、性能评估及试验验证方法;最后总结了当前研究面临的主要挑战,展望了未来发展方向。

自动靠泊  /  轨迹规划  /  运动控制  /  智能船舶

Autonomous berthing is a key element of intelligent navigation, yet its strong scenario dependence limits the application of theoretical research into actual implementations. Variations in ship type, propulsion configuration, and berth conditions impose distinct requirements on trajectory planning and control. At the same time, defining the completion criteria for autonomous berthing operation and establishing a comprehensive evaluation framework are essential for ensuring practicality and safety. This paper systematically reviews recent advances in trajectory planning and motion control for autonomous berthing. First, the key technical elements, including trajectory planning and motion control methods, are introduced. Second, different berthing strategies tailored to specific ship types and propulsion systems are analyzed in depth. Subsequently, berthing completion standards, performance evaluation metrics, and experimental validation approaches are discussed. Finally, the major challenges in the current research are summarized, and potential directions for future development are outlined.

autonomous berthing  /  trajectory planning  /  motion control  /  intelligent ship
李诗杰, 杨有为, 刘佳仑, 董智霖. 船舶自动靠泊轨迹规划与控制研究进展. 中国航海, 2025 , 48 (4) : 13 -25 . DOI: 10.3969/j.issn.1000-4653.2025.04.003
Shijie LI, Youwei YANG, Jialun LIU, Zhilin DONG. Survey on research status of trajectory planning and control methods for autonomous ship berthing[J]. Navigation of China, 2025 , 48 (4) : 13 -25 . DOI: 10.3969/j.issn.1000-4653.2025.04.003
  • 国家重点研发计划(2022YFB4301402)
  • 国家自然科学基金项目(52522220)
2025年第48卷第4期
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doi: 10.3969/j.issn.1000-4653.2025.04.003
  • 接收时间:2025-10-11
  • 首发时间:2026-03-17
  • 出版时间:2025-12-25
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  • 收稿日期:2025-10-11
基金
国家重点研发计划(2022YFB4301402)
国家自然科学基金项目(52522220)
作者信息
    1.武汉理工大学 水路交通控制全国重点实验室,湖北 武汉 430063
    2.武汉理工大学 智能交通系统研究中心,湖北 武汉 430063
    3.武汉理工大学 国家水运安全工程技术研究中心,湖北 武汉 430063
    4.武汉理工大学 交通与物流工程学院,湖北 武汉 430063
    5.湖北东湖实验室,湖北 武汉 420202

通讯作者:

刘佳仑(1987—),男,博士,研究员,研究方向为船舶智能驾驶系统研发与测试。E-mail:
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https://castjournals.cast.org.cn/joweb/zghh/CN/10.3969/j.issn.1000-4653.2025.04.003
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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