Point cloud modelling based on the tunnel axis and block estimation for monitoring the Badaling Tunnel, China

J. Wang, H. B. Zheng, H. Huang, G. W. Ma

Research output: Chapter in Book/Conference paperConference paper

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2/W7
Place of PublicationUnited States
PublisherInternational Society for Photogrammetry and Remote Sensing
Pages301-306
Number of pages6
Volume42
Edition2W7
DOIs
Publication statusPublished - 12 Sep 2017
EventThe Congress of the International Society for Photogrammetry and Remote Sensing 2017 - Wuhan, China
Duration: 18 Sep 201722 Sep 2017

Publication series

NameInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
ISSN (Print)1682-1750

Conference

ConferenceThe Congress of the International Society for Photogrammetry and Remote Sensing 2017
CountryChina
CityWuhan
Period18/09/1722/09/17

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Cite this

Wang, J., Zheng, H. B., Huang, H., & Ma, G. W. (2017). Point cloud modelling based on the tunnel axis and block estimation for monitoring the Badaling Tunnel, China. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2/W7 (2W7 ed., Vol. 42, pp. 301-306). (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). United States: International Society for Photogrammetry and Remote Sensing. https://doi.org/10.5194/isprs-archives-XLII-2-W7-301-2017