Tunnel Crack Detection and Evaluation Based on Improved Holistically Nested Edge Detection Network

Abstract

AbstractCrack detection is essential for the routine inspection of subway tunnels. This study addresses key challenges, such as low image acquisition efficiency, poor recognition performance, and the inability to quantify and evaluate cracks. A novel ...Practical ApplicationsWe have developed a tunnel lining image acquisition system equipped with six high-resolution cameras to capture detailed surface images of tunnels. This system completed data collection experiments on the mainline of a metro tunnel ...