An overview of developments and challenges for unmanned surface vehicle autonomous berthing

Author:

Wu GongxingORCID,Li Debiao,Ding Hao,Shi Danda,Han Bing

Abstract

AbstractWith the continuous progress of contemporary science and technology and the increasing requirements for marine vehicles in various fields, the intelligence and automation of ships have become a general trend. The autonomous control of surface Unmanned Surface Vessel (USV) generally covers the USV path planning, path tracking control, and autonomous collision avoidance control. But in the whole navigation process of USV, autonomous berthing is also a crucial part. And the research on the algorithm of the automatic berthing process of the USV is less. Mature USV autonomous berthing technology can effectively reduce the cost of human and material resources and financial resources while reducing the accident rate reasonably and safely. Therefore, it is of great importance to comprehensively promote the development of USV autonomous berthing technology.

Funder

National Engineering Research Center of Ship & Shipping Control System

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Engineering (miscellaneous),Information Systems,Artificial Intelligence

Reference127 articles.

1. Wahlström M, Hakulinen J, Karvonen H, Lindborg I (2015) Human factors challenges in unmanned ship operations—insights from other domains. Proc Manuf 3:1038–1045

2. Smalley D (2014) The future is now: navy’s autonomous swarm-boats can overwhelm adversaries. ONR Press Release

3. Wang L, Wu Q, Liu JL, Li SJ, Negenborn RR (2019) State-of-the-art research on motion control of maritime autonomous surface ships. J Mar Sci Eng 7(12):438

4. Meijuan Z (2021) Research on nonlinear automatic berthing control of underactuated surface vessels. Shandong Jiaotong University, Berlin

5. Bui P, Kim Y-B (2011) Development of constrained control allocation for ship berthing by using autonomous tugboats. Int J Control Autom Syst 9(6):1203–1208

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