This paper presents an algorithm for lane line detection based on convolutional neural network. The algorithm adopts the structural mode of encoder and decoder, in which the encoder part uses VGG16 combined with cavity convolution as the basic network to extract the features of lane lines, and the cavity convolution can expand the receptive field. Through experimental comparison, the full connection layer of the network is discarded, the last maximum pooling layer of the VGG16 network is removed, and the processing of the last three convolution...
