REFLECTION OF CRACK LOCATION TO 3D MODEL OF BRIDGE USING SEMANTIC SEGMENTATION

Abstract

When creating a 3D model of a bridge for maintenance purposes, if the location of damage is reflected in the model, it is expected that the location and shape of the damage can be easily confirmed. Furthermore, cracks are the most common damage to bridges. Although various methods for the automatic detection of cracks from images of concrete surfaces have been studied. These methods make it difficult to detect cracks when objects other than concrete appear in the image. In this study, Semantic Segmentation is used to extract only the concrete area from the bridge images, which enables the detection of cracks from various images taken. In addition, a 3D model of the bridge was constructed by Structure from Motion using the images in which cracks were detected, and a 3D model reflecting the location of the cracks was constructed.