COLREG-compliant ship collision avoidance in narrow channels using curvilinear coordinates

被引:1
|
作者
Cho, Yonghoon [1 ]
Kim, Jonghwi [1 ]
Kim, Jinwhan [1 ]
机构
[1] Korea Adv Inst Sci & Technol, Dept Mech Engn, Daejeon, South Korea
来源
IFAC PAPERSONLINE | 2021年 / 54卷 / 16期
关键词
Autonomous ship navigation; COLREGs; curvilinear coordinates; B-spline; narrow channel;
D O I
10.1016/j.ifacol.2021.10.068
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study presents a collision avoidance algorithm that considers the international regulations for preventing collisions at sea for narrow channels. The collision avoidance process for narrow channels may vary depending on the shape of the channel; therefore, implementing such an algorithm for autonomous navigation is not straightforward. In this study, curvilinear coordinates are introduced to represent the channels geometric shape using a parametric curve, B-spline. In addition, traffic rules are classified and applied to the collision avoidance problem for autonomous navigation in narrow channels. To demonstrate the feasibility of the proposed algorithm, Monte-Carlo simulations are conducted, and the results are discussed. Copyright (C) 2021 The Authors.
引用
收藏
页码:24 / 29
页数:6
相关论文
共 48 条
  • [1] A COLREG-Compliant Ship Collision Avoidance Algorithm
    Zaccone, Raphael
    Martelli, Michele
    Figari, Massimo
    [J]. 2019 18TH EUROPEAN CONTROL CONFERENCE (ECC), 2019, : 2530 - 2535
  • [2] Efficient COLREG-Compliant Collision Avoidance in Multi-Ship Encounter Situations
    Cho, Yonghoon
    Han, Jungwook
    Kim, Jinwhan
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (03) : 1899 - 1911
  • [3] A COLREG-compliant ship collision alert system for stand-on vessels
    Du, Lei
    Banda, Osiris A. Valdez
    Goerlandt, Floris
    Huang, Yamin
    Kujala, Pentti
    [J]. OCEAN ENGINEERING, 2020, 218 (218)
  • [4] COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle Using Deep Reinforcement Learning
    Meyer, Eivind
    Heiberg, Amalie
    Rasheed, Adil
    San, Omer
    [J]. IEEE ACCESS, 2020, 8 (08): : 165344 - 165364
  • [5] Uncertainty Research on Ship Collision Avoidance in Narrow Waters
    Wang, Renqiang
    Sun, Jianming
    Miao, Keyin
    [J]. BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 126 : 152 - 153
  • [6] Predictive Path Following and Collision Avoidance of Autonomous Vessels in Narrow Channels
    Abdelaal, Mohamed
    Hahn, Axel
    [J]. IFAC PAPERSONLINE, 2021, 54 (16): : 245 - 251
  • [7] COLREGs Compliant Fuzzy-Based Collision Avoidance System for Multiple Ship Encounters
    Ahmed, Yaseen Adnan
    Hannan, Mohammed Abdul
    Oraby, Mahmoud Yasser
    Maimun, Adi
    [J]. JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2021, 9 (08)
  • [8] On the Evaluation of Ship Maneuvering for Collision Avoidance by Using OZT
    Kayano, Jun
    Imazu, Hayama
    Matsui, Ryo
    Shibata, Akiya
    [J]. 2011 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2011, : 195 - 200
  • [9] Quantitative calculation method of the collision risk or collision avoidance in ship navigation using the CPA and ship domain
    Ha, Jisang
    Roh, Myung-Il
    Lee, Hye-Won
    [J]. JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING, 2021, 8 (03) : 894 - 909
  • [10] Planning a collision avoidance model for ship using genetic algorithm
    Zeng, XM
    Ito, M
    [J]. 2001 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5: E-SYSTEMS AND E-MAN FOR CYBERNETICS IN CYBERSPACE, 2002, : 2355 - 2360