Safe Maritime Autonomous Path Planning in a High Sea State

被引:0
|
作者
Ono, Masahiro [1 ]
Quadrelli, Marco [1 ]
Huntsberger, Terrance L. [1 ]
机构
[1] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA
关键词
NAVIGATION;
D O I
暂无
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 paper presents a path planning method for sea surface vehicles that prevents capsizing and bow-diving in a high sea-state. A key idea is to use response amplitude operators (RAOs) or, in control terminology, the transfer functions from a sea state to a vessel's motion, in order to find a set of speeds and headings that results in excessive pitch and roll oscillations. This information is translated to arithmetic constraints on the ship's velocity, which are passed to a model predictive control (MPC)-based path planner to find a safe and optimal path that achieves specified goals. An obstacle avoidance capability is also added to the path planner. The proposed method is demonstrated by simulations.
引用
收藏
页码:4727 / 4734
页数:8
相关论文
共 50 条
  • [41] Adaptive mission planning for cooperative autonomous maritime vehicles
    Ferri, Gabriele
    Djapic, Vladimir
    2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2013, : 5578 - 5584
  • [42] Safe path planning and adjustable zonotope-tube model predictive tracking control for autonomous vehicle
    Wu, Xiwei
    Xiao, Bing
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2024, 361 (03): : 1332 - 1346
  • [43] Attacks on Commercial Maritime Autonomous Surface Ships at Sea
    Yurika, Ishii
    ASIA-PACIFIC JOURNAL OF OCEAN LAW AND POLICY, 2023, 8 (02) : 266 - 286
  • [44] MARITIME AUTONOMOUS VEHICLES: NEW FRONTIERS IN THE LAW OF THE SEA
    Klein, Natalie
    Guilfoyle, Douglas
    Karim, Md Saiful
    McLaughlin, Rob
    INTERNATIONAL & COMPARATIVE LAW QUARTERLY, 2020, 69 (03) : 719 - 734
  • [45] Supporting intelligent and trustworthy maritime path planning decisions
    Cummings, M. L.
    Buchin, Mariela
    Carrigan, Geoffrey
    Donmez, Birsen
    INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 2010, 68 (10) : 616 - 626
  • [46] Safe driving envelopes for path tracking in autonomous vehicles
    Brown, Matthew
    Funke, Joseph
    Erlien, Stephen
    Gerdes, J. Christian
    CONTROL ENGINEERING PRACTICE, 2017, 61 : 307 - 316
  • [47] Deep reinforcement learning with dynamic window approach based collision avoidance path planning for maritime autonomous surface ships
    Wu, Chuanbo
    Yu, Wangneng
    Li, Guangze
    Liao, Weiqiang
    OCEAN ENGINEERING, 2023, 284
  • [48] Energy-Aware Path Planning by Autonomous Underwater Vehicle in Underwater Wireless Sensor Networks for Safer Maritime Transportation
    Acarer, Tayfun
    INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE, 2024, 8 (07):
  • [49] An autonomous coverage path planning algorithm for maritime search and rescue of persons-in-water based on deep reinforcement learning
    Wu, Jie
    Cheng, Liang
    Chu, Sensen
    Song, Yanjie
    OCEAN ENGINEERING, 2024, 291
  • [50] Sampling-Based Path Planning for Cooperative Autonomous Maritime Vehicles to Reduce Uncertainty in Range-Only Localization
    Willners, Jonatan Scharff
    Toohey, Lachlan
    Petillot, Yvan
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2019, 4 (04): : 3987 - 3994