Area Complete Coverage Path Planning for Offshore Seabed Organisms Fishing Autonomous Underwater Vehicle Based on Improved Whale Optimization Algorithm-Reference-Cited by-同舟云学术

Area Complete Coverage Path Planning for Offshore Seabed Organisms Fishing Autonomous Underwater Vehicle Based on Improved Whale Optimization Algorithm

Published:2024-04-15 Issue:8 Volume:24 Page:12887-12903
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Bao Han¹^ORCID,Wang Yanyan²^ORCID,Zhu Haitao²,Wang Dian²

Affiliation:

1. College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin, China

2. Yantai Research Institute and Graduate School, Harbin Engineering University, Yantai, China

Funder

“Underwater Vehicles Key Technology Research and Development Center” through China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10500449/10461979.pdf?arnumber=10461979

Reference38 articles.

1. AUV path planning for coverage search of static target in ocean environment

2. Complete coverage path planning using reinforcement learning for Tetromino based cleaning and maintenance robot

3. Characterizing the first wave of fish and invertebrate colonization on a new offshore petroleum platform

4. Underwater image quality enhancement of sea cucumbers based on improved histogram equalization and wavelet transform

5. Path planning of mobile robot based on ±3σ normal probability interval population division using genetic ant-colony algorithm;Bao;Kongzhi yu Juece/Control Decis.,2021

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