Study on the Underwater Static Target Active Perception Method Based on Fish-Like Artificial Lateral Line
To solve the problem of static target detection in still water,a method for underwater static target active perception is proposed based on fish-like artificial lateral line.The feasibility of lateral line actively perceiving static target is analyzed based on the theory of flu-id dynamics.The simulation mode of lateral line activly perceiving static target is established and the body surface pressure data of robot fish are collected when it is affected by target.The effect of target size and distance on body surface pressure is revealed.The prediction re-gression model for target size and distance based on depth convolution neural network is established,and the model structure and training parameters are optimized.The results show that the proposed method can effectively identify the underwater static target parameters.
万方数据
维普
