Patent ID: 11881038
Assignee: HYUNDAI MOTOR COMPANY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 13:
14. The system of claim 11, wherein:
the CNN module,
outputs the initial feature map F0 in which the size is HF×WF and the number of channels is D through the deep convolutional neural network, and the deep convolutional neural network includes a total of 7 convolution blocks of the first to seventh convolution blocks, and the size of the feature map output from the third convolution block is HF×WF, the number of channels is D3, the size of the feature map output from the fifth convolution block is, H
        F
      
      2
    
    ×
    
      
        W
        F
      
      2
    
  
  ,, and the number of channels is D5, and the size of the feature map output from the seventh convolution block is, H
        F
      
      4
    
    ×
    
      
        W
        F
      
      4
    
  
  ,, and the number of channels is D, and
the feature map output from the seventh convolution block after the upsampling operation is added to the output result acquired by passing the output of the fifth convolution block through a 1×1 convolution with the channel number of D, and the acquired result after the upsampling operation is added to the output result acquired by passing the output of the third convolution block through a 1×1 convolution with the channel number of D, then the initial feature map F0 is acquired through one 1×1 convolution with the channel number of D, and
the deep convolutional neural network is a U-shaped structure deep convolutional neural network, and the deep convolutional neural network EfficientNet-B3 as backbone network.