Collision avoidance for formation of autonomous ships using separation and recovery mechanism combine artificial potential field method-Reference-Cited by-同舟云学术

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Collision avoidance for formation of autonomous ships using separation and recovery mechanism combine artificial potential field method

Published:2024-05-30 Issue: Volume: Page:1-21
ISSN:1744-5302
Container-title:Ships and Offshore Structures
language:en
Short-container-title:Ships and Offshore Structures

Author:

Chen Xiangyu¹,Gao Miao¹²^ORCID,Wu Meiyi¹,Guan Wenting³,Sun Haixin⁴,Zhang Anmin¹

Affiliation:

1. School of Marine Science and Technology, Tianjin University, Tianjin, People’s Republic of China

2. Key Laboratory of Ocean Observation Technology, Ministry of Natural Resources, KLOOT, MNR, Tianjin, People's Republic of China

3. Yunyao Aerospace Technology Co., Ltd, Tianjin, People’s Republic of China

4. School of Informatics, Xiamen University, Xiamen, People’s Republic of China

Funder

National Natural Science Foundation of China

Young Elite Scientists Sponsorship Program by China Institute of Navigation

National Key Research and Development Program of China

Natural Science Foundation of Tianjin

Tianjin Transportation Technology Development Plan Project

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17445302.2024.2356479

Reference30 articles.

1. A comparison of ship manoeuvrability models to approximate ship navigation trajectories

2. An ICOR Approach Towards Ship Maintenance Software Development

3. COLREGs: Compliant Dynamic Obstacle Avoidance of USVs Based on theDynamic Navigation Ship Domain

4. [EMSA] European Maritime Safety Agency (EU). 2021. Annual Overview of Marine Casualties and Incidents 2021 Publication. Lisbon Portugal.

5. MASS autonomous navigation system based on AIS big data with dueling deep Q networks prioritized replay reinforcement learning

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