Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 301-306, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-301-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
12 Sep 2017
POINT CLOUD MODELLING BASED ON THE TUNNEL AXIS AND BLOCK ESTIMATION FOR MONITORING THE BADALING TUNNEL, CHINA
J. Wang1, H. B. Zheng2, H. Huang3, and G. W. Ma2,4 1Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, China
2College of Civil Engineering and Architecture, Beijing University of Technology, China
3Institute for Applied Computer Science, Bundeswehr University Munich, Germany
4School of Civil, Environmental and Mining Engineering, University of Western Australia, Australia
Abstract. Recent years have witnessed a growing investigation of terrestrial laser scanning (TLS) for monitoring the deformation of tunnels. TLS provides the ability to obtain a more accurate and complete description of the tunnel surfaces, allowing the determination of the mechanism and magnitude of tunnel deformation, because the entire surface of the tunnel is more concretely modelled rather than being represented by a number of points. This paper models and analyses the point clouds from TLS to detect the possible deformation of a newly built tunnel. In the application of monitoring the Badaling Tunnel for the Winter Olympics 2020 in Beijing, China, the proposed method includes the following components: the tunnel axis is automatically estimated based on a 3D quadratic form estimation; all of the point clouds are segmented into axis-based blocks; and representative points, solved by a singular value decomposition (SVD) method, are estimated to describe the tunnel surface and establish the correspondence of data between days. The deformations are detected in the form of the distance discrepancies of representative points and verified by the measurements using total station.
Conference paper (PDF, 2256 KB)


Citation: Wang, J., Zheng, H. B., Huang, H., and Ma, G. W.: POINT CLOUD MODELLING BASED ON THE TUNNEL AXIS AND BLOCK ESTIMATION FOR MONITORING THE BADALING TUNNEL, CHINA, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 301-306, https://doi.org/10.5194/isprs-archives-XLII-2-W7-301-2017, 2017.

BibTeX EndNote Reference Manager XML