In this study, the creation of a 3D digital model of a bridge structure by applying computer vision technology to LiDAR point cloud data acquired through laser scanning is proposed for determining structural damage. This method first identifies and labels the individual components of a bridge and then creates a detailed 3D digital model of its structure. An octree data structure is used to efficiently store and process the point cloud data to create the digital model.
A static loading test on an actual bridge structure demonstrated the effectiveness of the proposed method in identifying individual components and analyzing the structural deformation. Based on the results, a 3D digital model can be used to identify structural damage to bridges during bridge inspection, monitoring, and maintenance.
In this study, the representative data extraction is performed for the shape information model of civil infrastructures. The scan data is extracted by octree data processing. The octree data processing generates a voxel of 3D space which is recursively subdivided into eight sub-voxels. The point cloud of the scan data was converted to voxels and sampled. The experimental site for terrestrial laser scanning is located at Sungkyunkwan University. The scanned structure is a steel girder bridge. For Terrestrial Laser Scanning(TLS), the Leica ScanStation C10 was used. The scan data was condensed 92% and the octree model was constructed with a 2 millimeter resolution. Accuracy verification was carried out in order to confirm that the data characteristic were retained. The objective of this study is to use Octree data processing to reduce large amounts of point clouds. Octree data processing will be the foundation for shape information model of the large structures such as double-deck tunnels, buildings and bridges. The research will be expected to improve the efficiency of shape information model.
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