Road Surface Extraction from MLS-Based Point Clouds

Abstract

Mobile mapping technology is one of the most commonly used technologies to collect three-dimensional spatial data. Geomatics engineering is the one discipline that used this technology the most. These systems are used extensively in which laser scanning systems are integrated, especially in corridor mapping purposes. In this study, it is proposed to extract the road surface automatically from Mobile LiDAR-based point clouds. The proposed methodology consists of three steps: (1)collecting MLS raw data; (2) producing three-dimensional dense point cloud; (3) classifying ground/non-ground point filtering and applying a piecewise linear regression model to extract the road surface. As a result, the proposed methodology successfully extracts the road surface from the MLS-based point cloud.