3D POINT CLOUD TO BIM: AUTOMATED APPLICATION TO DEFINE IFC ALIGNMENT AND ROADWAY WIDTH ENTITIES FROM MLS-ACQUIRED LiDAR DATA OF MOUNTAIN ROADS
Keywords: mobile laser scanning, point cloud processing, infrastructure information models, building information modelling, Industry Foundation Classes, road alignment modelling
Abstract. The growing trend of developing standards of information exchange and management processes is leading to Building Information Models (BIM) being adapted to work with linear infrastructure assets. For this reason, the Industry Foundation Classes (IFC) has developed standards for linear infrastructure such as roads. Furthermore, the usage of remote sensing technologies, such as Mobile Laser Scanning (MLS) systems for infrastructure monitoring is increasingly common. This paper presents an automated methodology that takes as input 3D point cloud tiles from an MLS and its trajectory, and outputs an IFC-compliant file that models the alignment of the road and the width of the roadway along the length of the road. The methodology is evaluated in 48 km of mountain roads, in some cases without road markings, using neither intensity nor colour fields.