Coverage path planning for maritime search and rescue using reinforcement learning-Reference-Cited by-同舟云学术

Coverage path planning for maritime search and rescue using reinforcement learning

Published:2021-12 Issue: Volume:241 Page:110098
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Ai Bo,Jia Maoxin,Xu Hanwen,Xu Jiangling,Wen Zhen,Li Benshuai,Zhang Dan

Funder

National Natural Science Foundation of China

Shandong University of Science and Technology

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference36 articles.

1. A constraint optimization approach for the allocation of multiple search units in search and rescue operations;Abi-Zeid;INFOR Inf. Syst. Oper. Res.,2011

2. Path planning for robotic demining: robust sensor-based coverage of unstructured environments and probabilistic methods;Acar;Int. J. Robot Res.,2003

3. A decision-making algorithm for maritime search and rescue plan;Agbissoh Otote;Sustainability,2019

4. An intelligent decision algorithm for the generation of maritime search and rescue emergency response plans;Ai;IEEE Access,2019

5. Approximation algorithms for lawn mowing and milling;Arkin;Computational Geometry Theory & Applications,2000

Cited by 48 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An algorithm with exact bounds for coverage path planning in UAV-based search and rescue under windy conditions;Computers & Operations Research;2025-01

2. Joint-optimized coverage path planning framework for USV-assisted offshore bathymetric mapping: From theory to practice;Knowledge-Based Systems;2024-11

3. Route planning for UAVs maritime search and rescue considering the targets moving situation;Ocean Engineering;2024-10

4. A coverage path planning approach for environmental monitoring using an unmanned surface vehicle;Ocean Engineering;2024-10

5. Dynamic Aerial Coverage of Stationary and Moving Structures Using Lissajous Curves;Journal of Guidance, Control, and Dynamics;2024-09-02