Collision Avoidance for Unmanned Surface Vehicle in Extreme Multi-Ship Encounter Situations

被引:0
|
作者
Liu, Jianjian [1 ]
Chen, Huizi [1 ]
Han, Guangjie [2 ]
Xie, Shaorong [1 ]
Peng, Yan [1 ]
Li, Yao [3 ]
Zhang, Dan [1 ]
机构
[1] Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai, Peoples R China
[2] Hohai Univ, Dept Internet Things Engn, Changzhou, Jiangsu, Peoples R China
[3] Shanghai Univ, Sch Artificial Intelligence, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
Collision avoidance; COLREGS; extreme multi-ship encounter situation; COLREGS; NAVIGATION; SIMULATION;
D O I
10.1109/ONCON60463.2023.10430864
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Unmanned surface vehicles (USVs) can encounter traffic ships while performing trajectory tracking missions. USVs need to take suitable collision avoidance (CA) action in accordance with international regulations for preventing collisions at sea (COLREGS). A novel CA approach is proposed for the problem of simultaneous collision avoidance of multiple ships. Different from the already existing CA approaches, our proposed approach can cope with extreme multi-ship encounter situations where USV is surrounded by multiple ships from all sides. Collisions can be caused by incongruous CA actions between encountering ships. So, a CA strategy is proposed with symmetric rules according to COLREGS. In general, CA velocity designed for USV is obtained by adding an offset velocity to its desired velocity. To avoid all encountering ships simultaneously, the consistent offset velocity direction (COVD) method is proposed to design the direction of offset velocity. In addition, an emergency CA module is added to further ensure that a safe distance is maintained between USV and traffic ships. The performance of the proposed CA approach is verified by physical simulations with an existing simulator. The simulation results show that multiple USVs can implement simultaneous collision avoidance and return to their respective desired trajectories when they all use the proposed CA approach.
引用
收藏
页数:8
相关论文
共 50 条
  • [31] Multi-Ship Control and Collision Avoidance Using MPC and RBF-Based Trajectory Predictions
    Papadimitrakis, Myron
    Stogiannos, Marios
    Sarimveis, Haralambos
    Alexandridis, Alex
    [J]. SENSORS, 2021, 21 (21)
  • [32] COLREGs-Compliant Multi-Ship Collision Avoidance Based on Multi-Agent Reinforcement Learning Technique
    Wei, Guan
    Kuo, Wang
    [J]. JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 10 (10)
  • [33] A composite learning method for multi-ship collision avoidance based on reinforcement learning and inverse control
    Xie, Shuo
    Chu, Xiumin
    Zheng, Mao
    Liu, Chenguang
    [J]. NEUROCOMPUTING, 2020, 411 (411) : 375 - 392
  • [34] Autonomous collision avoidance system in a multi-ship environment based on proximal policy optimization method
    Zheng, Rongcai
    Xie, Hongwei
    Yuan, Kexin
    [J]. OCEAN ENGINEERING, 2023, 272
  • [35] Autonomous decision-making scheme for multi-ship collision avoidance with iterative observation and inference
    Wang, Tengfei
    Wu, Qing
    Zhang, Jinfen
    Wu, Bing
    Wang, Yang
    [J]. OCEAN ENGINEERING, 2020, 197 (197)
  • [36] Collision avoidance command governor for multi-vehicle unmanned systems
    Tedesco, Francesco
    Raimondo, Davide M.
    Casavola, Alessandro
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2014, 24 (16) : 2309 - 2330
  • [37] Multi-ship Encounter Situational Awareness Based on AIS Data
    Li Yong-pan
    Liu Zheng-jiang
    Zheng Zhong-yi
    [J]. 2017 4TH INTERNATIONAL CONFERENCE ON INFORMATION, CYBERNETICS AND COMPUTATIONAL SOCIAL SYSTEMS (ICCSS), 2017, : 523 - 527
  • [38] Collision avoidance planning for unmanned surface vehicle based on eccentric expansion
    Song, Lifei
    Chen, Zhuo
    Dong, Zaopeng
    Xiang, Zuquan
    Mao, Yunsheng
    Su, Yiran
    Hu, Kai
    [J]. INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2019, 16 (03):
  • [39] Collision avoidance for an unmanned surface vehicle using deep reinforcement learning
    Woo, Joohyun
    Kim, Nakwan
    [J]. OCEAN ENGINEERING, 2020, 199
  • [40] Unmanned Surface Vehicle Collision Avoidance Trajectory Planning in an Uncertain Environment
    Xia, Guoqin
    Han, Zhiwei
    Zhao, Bo
    Wang, Xinwei
    [J]. IEEE ACCESS, 2020, 8 : 207844 - 207857