Automatic Tunnel Crack Detection Based on U-Net and a Convolutional Neural Network with Alternately Updated Clique
Regular crack inspection of tunnels is essential to guarantee their safe operation.At present, the manual detection method is time-consuming, subjective and even dangerous, while the automatic detection method is relatively inaccurate.Detecting tunnel cracks is a challenging task since cracks are tiny, and there are many noise patterns in the tunne