Novel deep convolution neural network moving vehicle detection method
A deep convolution, neural network technology, applied in instruments, character and pattern recognition, computer parts, etc., can solve problems such as weak system robustness, lack of normal work, accuracy dependent on coverage, etc.
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[0059] The present invention will be further described below in conjunction with the accompanying drawings.
[0060] The invention uses a convolutional neural network method combined with machine learning technology to detect the moving vehicle ahead. The specific scene is attached figure 1 As shown, the own car 1 and the front car 2 with the front camera are driving on the road at speeds v1 and v2 respectively, and the distance between the cars is S. Detect moving vehicles in the video. In order to effectively detect moving vehicles ahead, this method constructs a new detection framework as shown in the attached figure 2 , and build a specific convolutional neural network LetNet-5, the convolution kernel used in the convolutional neural network structure is only used to extract vehicle features, and no longer extract the rest of the object features (such as houses, sky and trees, etc.). Among them, the convolution kernel is five 5×5 matrix blocks obtained through training...
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