scholarly journals Shallow water reverberation, signal motion loss, and acoustic navigation: A preliminary study for autonomous underwater vehicle target detection

1993 ◽  
Vol 94 (3) ◽  
pp. 1869-1869
Author(s):  
W. Kenneth Steward ◽  
Xiaoou Tang ◽  
Dezhang Chu
Keyword(s):  
Shallow Water ◽  
Target Detection ◽  
Autonomous Underwater Vehicle ◽  
Underwater Vehicle ◽  
Acoustic Navigation ◽  
Preliminary Study

scholarly journals Cognition-based hybrid path planning for autonomous underwater vehicle target following

2019 ◽  
Vol 16 (4) ◽  
pp. 172988141985755 ◽  
Author(s):  
Li Yue Ming ◽  
Huang Hai ◽  
Xu Yang ◽  
Zhang Guocheng ◽  
Li Jiyong ◽  
...  
Keyword(s):  
Path Planning ◽  
Motion Planning ◽  
Target Detection ◽  
Optimization Algorithm ◽  
Autonomous Underwater Vehicle ◽  
Autonomous Underwater Vehicles ◽  
Cognitive Architecture ◽  
Underwater Vehicle ◽  
Fuzzy Rules ◽  
Mobile Target

Intelligent path planning is one of the key techniques for autonomous underwater vehicles for the purpose of target detection, environmental survey and so on. In order to realize automatic motion plan, an intelligent cognitive architecture for autonomous underwater vehicle motion planning has been proposed to realize complicated target detection and mobile target following in the disturbance environment. A novel adaptive ant colony optimization and particle swarm optimization fusion-based fuzzy rules optimization algorithm has been proposed to generate optimized fuzzy rules. Through this optimization algorithm, the preliminary fuzzy rules can be optimized to realize intelligent motion planning for complicated operation tasks. Experiments of channel following for wall detection and mobile target following in the oceanic environment have verified the validity of path planning method in the implementation of detection and operation tasks.

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