Overview of intelligent collision avoidance system technology for unmanned underwater vehicles

DOI:	10.11809/bqzbgcxb2023.04.009
Keywords:	unmanned underwater vehicle; environmental perception; fuzzy control; particle algorithm; artificial potential field method
Abstract:	As the key equipment for exploring the ocean, unmanned underwater vehicles have been widely used in military and civil fields such as underwater search and rescue, survey and marine life monitoring. The intelligent collision avoidance system are the core system to ensure safe navigation and efficient operation of an unmanned underwater vehicle. It assists the autonomous control and operation of the unmanned underwater vehicle by processing and feeding back information of the underwater environment. The technology of the intelligent collision avoidance system for unmanned underwater vehicles has gradually become the research focus in the field due to its important role in safe navigation operation. This paper firstly introduces the basic components and key technologies of the intelligent collision avoidance system for unmanned underwater vehicles. Then, it summarizes and analyzes the research status of collision avoidance system technology for unmanned underwater vehicles at home and abroad. The research status as well as advantages and disadvantages of the sensors and the mainstream intelligent collision avoidance path planning algorithms required in the collision avoidance system is also summarized. Finally, the research status of intelligent collision avoidance system technology for unmanned underwater vehicles is summarized, and its future development is prospected.
Issue:	Vol. 44 No. 4 (2023)
Published:	2023-04-28
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