Optimal path planning of unmanned surface vehicles

被引：0
作者：
Singh, Yogang [1 ]
Sharma, Sanjay [1 ]
Hatton, Daniel [1 ]
Sutton, Robert [1 ]
机构：
[1] Plymouth Univ, Sch Marine Sci & Engn, Autonomous Marine Syst AMS Res Grp, Plymouth PL4 8AA, Devon, England
来源：
INDIAN JOURNAL OF GEO-MARINE SCIENCES | 2018年 / 47卷 / 07期
关键词：
Optimisation; Path Planning; Swarm; Unmanned Surface Vehicles; COLLISION-AVOIDANCE; OBSTACLE AVOIDANCE; TECHNOLOGIES; NAVIGATION; ALGORITHM; BEHAVIOR;
D O I：
暂无
中图分类号：
P7 [海洋学];
学科分类号：
0707 ;
摘要：
Present study reviews the current methodologies adopted for optimal path planning of single unmanned surface vehicles and studies associated with swarm of unmanned surface vehicles. This also discusses the challenges and scopes, which can act as objectives, for future research towards path planning of such marine craft.
引用
收藏
页码：1325 / 1334
页数：10
相关论文
共 50 条
  • [31] Hierarchical Path Planning of Unmanned Surface Vehicles: A Fuzzy Artificial Potential Field Approach
    Wang, Ning
    Xu, Hongwei
    Li, Chengzhong
    Yin, Jianchuan
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2021, 23 (06) : 1797 - 1808
  • [32] Physical Consistent Path Planning for Unmanned Surface Vehicles under Complex Marine Environment
    Wang, Fang
    Bai, Yong
    Zhao, Liang
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 11 (06)
  • [33] CCIBA*: An Improved BA* Based Collaborative Coverage Path Planning Method for Multiple Unmanned Surface Mapping Vehicles
    Ma, Yong
    Zhao, Yujiao
    Li, Zhixiong
    Bi, Huaxiong
    Wang, Jing
    Malekian, Reza
    Sotelo, Miguel Angel
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (10) : 19578 - 19588
  • [34] Optimal cooperative path planning of unmanned aerial vehicles by a parallel genetic algorithm
    Shorakaei, Hamed
    Vahdani, Mojtaba
    Imani, Babak
    Gholami, Ali.
    ROBOTICA, 2016, 34 (04) : 823 - 836
  • [35] Global-local hierarchical path planning scheme for unmanned surface vehicles under dynamically unforeseen environments
    Zhao, Liang
    Bai, Yong
    Paik, Jeom Kee
    OCEAN ENGINEERING, 2023, 280
  • [36] An application-orientated anti-collision path planning algorithm for unmanned surface vehicles
    Ni, Shengke
    Liu, Zhengjiang
    Huang, Dengjun
    Cai, Yao
    Wang, Xin
    Gao, Shang
    OCEAN ENGINEERING, 2021, 235
  • [37] A Locking Sweeping Method Based Path Planning for Unmanned Surface Vehicles in Dynamic Maritime Environments
    Zhuang, Jiayuan
    Luo, Jing
    Liu, Yuanchang
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2020, 8 (11) : 1 - 32
  • [38] Optimal path planning for unmanned aerial vehicles with multiple round-trip flights in coverage tasks
    Li, Jing
    Xiong, Yonghua
    She, Jinhua
    Yu, Anjun
    ROBOTICS AND AUTONOMOUS SYSTEMS, 2025, 189
  • [39] Optimal Energy Consumption Path Planning for Unmanned Aerial Vehicles Based on Improved Particle Swarm Optimization
    Na, Yiwei
    Li, Yulong
    Chen, Danqiang
    Yao, Yongming
    Li, Tianyu
    Liu, Huiying
    Wang, Kuankuan
    SUSTAINABILITY, 2023, 15 (16)
  • [40] Artificial intelligence algorithms in unmanned surface vessel task assignment and path planning: A survey☆
    Gao, Kaizhou
    Gao, Minglong
    Zhou, Mengchu
    Ma, Zhenfang
    SWARM AND EVOLUTIONARY COMPUTATION, 2024, 86
12345