A Review of Situational Awareness and Collision Avoidance Strategy for USV in Complex Environments

Yitong Liu; Volodymyr Zaitsev; Xuhui Jiang; Jinhua Qian

doi:10.23977/autml.2025.060201

A Review of Situational Awareness and Collision Avoidance Strategy for USV in Complex Environments

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DOI: 10.23977/autml.2025.060201 | Downloads: 7 | Views: 135

Author(s)

Yitong Liu ¹, Volodymyr Zaitsev ², Xuhui Jiang ³, Jinhua Qian ³

Affiliation(s)

¹ Makarov College of Marine Engineering, Jiangsu Ocean University, Cangwu Road, Lianyungang, China
² Department of Marine Technologies and Ocean Engineering, Admiral Makarov National University of Shipbuilding, Mykolaiv, Ukraine
³ College of Marine Engineering, Jiangsu Ocean University, Lianyungang, China

Corresponding Author

Yitong Liu

ABSTRACT

Unmanned Surface Vehicles (USVs) can detect and avoid obstacles through carrying equipment. However, obstacles pose a serious threat to USVs during autonomous navigation. These obstacles include buoys, ships, animals and other static and dynamic objects. Therefore, when in complex and changeable environment, USVs rely heavily on the accuracy of environmental identification and the rapidity of obstacle avoidance strategies. This paper provides an overview of the researches that have been proposed over the last decade. Different from traditional autonomous obstacles avoidance, which includes situational awareness, path planning, and control system, this study provides an in-depth overview of obstacle avoidance components into two modules: situational awareness and control system. Finally, this paper puts forward a solution that builds a fusion network constructed from multiple perception sensors, whose different outputs give corresponding control commands for the USV, to effectively reduce the delay in the obstacle avoidance process.

KEYWORDS

USVs, Collision Avoidance, Obstacle Detection, Collision Avoidance Strategy

CITE THIS PAPER

Yitong Liu, Volodymyr Zaitsev, Xuhui Jiang, Jinhua Qian, A Review of Situational Awareness and Collision Avoidance Strategy for USV in Complex Environments. Automation and Machine Learning (2025) Vol. 6: 1-10. DOI: http://dx.doi.org/10.23977/autml.2025.060201.

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A Review of Situational Awareness and Collision Avoidance Strategy for USV in Complex Environments

Author(s)

Affiliation(s)

Corresponding Author

ABSTRACT

KEYWORDS

CITE THIS PAPER

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