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A Review and Prospect of Autonomous Navigation Decision and Control Technology for Unmanned Surface Vehicles
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Shixing LYU1, Haocheng YANG1, Lin GENG1, Shidi WU1, Sen HAN1, Li ZHOU2
Ship Engineering | 2026, 48(3) : Z10 - Z28
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Ship Engineering | 2026, 48(3): Z10-Z28
• Special Topic: Intelligent Ship •
A Review and Prospect of Autonomous Navigation Decision and Control Technology for Unmanned Surface Vehicles
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Shixing LYU1, Haocheng YANG1, Lin GENG1, Shidi WU1, Sen HAN1, Li ZHOU2
Affiliations
  • School of Naval Architecture and Ocean Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, Jiangsu, China
  • School of Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Published: 2026-03-25 doi: 10.13788/j.cnki.cbgc.2026.03.Z1
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[Purpose]

To review the current state of research on autonomous navigation decision-making and control technologies for intelligent unmanned surface vehicles, and to clarify the technical bottlenecks and development trends under scenarios of varying complexity,

[Method]

a systematic investigation is conducted into the development history of key technologies for unmanned surface vehicles both domestically and internationally. It review addresses the differing technical requirements between low-to-medium complexity and high-complexity application scenarios, covering path planning, line-of-sight guidance, autonomous collision avoidance, automatic docking and undocking, multi-agent cooperative control, and autonomous recovery. It evaluates existing technological shortcomings and provides recommendations for future development.

[Result]

Analysis indicates that autonomous navigation technology for open waters has matured and is gradually being implemented in engineering applications. However, core technologies for complex waters and complex missions still face developmental bottlenecks.

[Conclusion]

Looking further ahead, we propose establishing a standardized simulation and real-vessel testing evaluation system tailored to real-world scenarios. It will accelerate the rapid iteration and implementation of key technologies, thereby supporting the advancement of autonomous navigation decision-making and control technologies for unmanned surface vehicles in China.

unmanned surface vehicle  /  autonomous navigation  /  decision and control  /  path planning  /  autonomous collision avoidance
Shixing LYU, Haocheng YANG, Lin GENG, Shidi WU, Sen HAN, Li ZHOU. A Review and Prospect of Autonomous Navigation Decision and Control Technology for Unmanned Surface Vehicles[J]. Ship Engineering, 2026 , 48 (3) : Z10 -Z28 . DOI: 10.13788/j.cnki.cbgc.2026.03.Z1
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Year 2026 volume 48 Issue 3
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doi: 10.13788/j.cnki.cbgc.2026.03.Z1
  • Online Date：2026-04-24
  • Published：2026-03-25
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Affiliations
    School of Naval Architecture and Ocean Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, Jiangsu, China
    School of Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
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表12种不同金属材料的力学参数
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Family		 属数
Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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