Shape information model of large structure using terrestrial laser scanning

Gichun Cha; Donghwan Lee; ByoungJoon Yu; Ji-Hwan Park; Seunghee Park

doi:10.1117/12.2259824

14 April 2017 Shape information model of large structure using terrestrial laser scanning

Gichun Cha, Donghwan Lee, ByoungJoon Yu, Ji-Hwan Park, Seunghee Park

Proceedings Volume 10168, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017; 101680J (2017) https://doi.org/10.1117/12.2259824
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2017, Portland, Oregon, United States

Abstract

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.

Conference Presentation

Citation Download Citation

Gichun Cha, Donghwan Lee, ByoungJoon Yu, Ji-Hwan Park, and Seunghee Park "Shape information model of large structure using terrestrial laser scanning", Proc. SPIE 10168, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017, 101680J (14 April 2017); https://doi.org/10.1117/12.2259824

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