Development of damage detection method on the tunnel lining from the laser scanning data

초록

Laser scanning is an emerging non-destructive technology to monitor surface condition of structures from various applications. High density of laser scanning points, point clouds, allows detecting the morphological features and surface conditions of structures. In order to extract useful information from laser point clouds, an adequate and effective approach should be applied. This study proposes a method to detect damaged parts from laser scanned tunnel data using radiometric and geometric properties of laser points. The scanned tunnel data includes all of accessories attached to a tunnel as well as tunnel liners. To apply a mathematical model to tunnel liners, the accessories are first separated and eliminated, and then the damaged parts on the tunnel liners are ultimately detected. The method proposed in this study verifies the capability of a laser scanner to detect physical condition of tunnel lining surface and also expands the usage of laser scanning technology. Furthermore, the developed process of tunnel lining inspection will facilitate the tunnel inspection process and increase efficiency on the tunnel inspection and accuracy of the results.