Aera coverage path planning for unmanned ships: an improved COA and PWO composite algorithm
Author:
Affiliation:
1. Qilu University of Technology (Shandong Academy of Sciences),School of Information and Automation Engineering,Jinan,China
Funder
Qilu University of Technology
Innovation Fund
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10502391/10503583/10503725.pdf?arnumber=10503725
Reference17 articles.
1. Key technologies and intelligent evolution of marine unmanned equipment;Jin;Chinese Ship Research,2018
2. Overview of technology development of surface unmanned boat groups;Gu;Ship Science and Technology,2019
3. Geometric Reinforcement Learning for Path Planning of UAVs
4. A coverage algorithm for multiple autonomous surface vehicles in flowing environments
5. Efficient Boustrophedon Multi-Robot Coverage: an algorithmic approach
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