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Continuous section extraction and over Underbreak detection of tunnel based on 3D laser technology and image analysis
KTH, School of Information and Communication Technology (ICT).
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Abstract [en]

In order to ensure safety, long term stability and quality control in modern tunneling operations, the acquisition of geotechnical information about encountered rock conditions and detailed installed support information is required. The limited space and time in an operational tunnel environment make the acquiring data challenging. The laser scanning in a tunneling environment, however, shows a great potential. The surveying and mapping of tunnels are crucial for the optimal use after construction and in routine inspections. Most of these applications focus on the geometric information of the tunnels extracted from the laser scanning data. There are two kinds of applications widely discussed: deformation measurement and feature extraction. The traditional deformation measurement in an underground environment is performed with a series of permanent control points installed around the profile of an excavation, which is unsuitable for a global consideration of the investigated area. Using laser scanning for deformation analysis provides many benefits as compared to traditional monitoring techniques. The change in profile is able to be fully characterized and the areas of the anomalous movement can easily be separated from overall trends due to the high density of the point cloud data. Furthermore, monitoring with a laser scanner does not require the permanent installation of control points, therefore the monitoring can be completed more quickly after excavation, and the scanning is non-contact, hence, no damage is done during the installation of temporary control points. The main drawback of using the laser scanning for deformation monitoring is that the point accuracy of the original data is generally the same magnitude as the smallest level of deformations that are to be measured. To overcome this, statistical techniques and three dimensional image processing techniques for the point clouds must be developed. For safely, effectively and easily control the problem of Over Underbreak detection of road and solve the problem of the roadway data collection difficulties, this paper presents a new method of continuous section extraction and Over Underbreak detection of road based on 3D laser scanning technology and image processing, the method is divided into the following three steps: based on Canny edge detection, local axis fitting, continuous extraction section and Over Underbreak detection of section. First, after Canny edge detection, take the least-squares curve fitting method to achieve partial fitting in axis; Then adjust the attitude of local roadway that makes the axis of the roadway be consistent with the direction of the extraction reference, and extract section along the reference direction; Finally, we compare the actual cross-sectional view and the cross-sectional design to complete Overbreak detected. Experimental results show that the proposed method have a great advantage in computing costs and ensure cross-section orthogonal intercept terms compared with traditional detection methods.

Place, publisher, year, edition, pages
Keyword [en]
Back break, Coordinate correction, Cross-section, laser scanning technique, Highway transportation, Point cloud, Roadway survey, Curve fitting, Deformation, Edge detection, Excavation, Extraction, Feature extraction, Imaging systems, Laser applications, Least squares approximations, Motor transportation, Quality control, Roads and streets, Scanning, Surface analysis, Surveys, Transportation, Tunneling (excavation), 3D-laserscanning technology, Deformation measurements, Geotechnical information, Laser scanning, Least squares curve fittings, Three-dimensional image processing, Image processing
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-168329DOI: 10.1117/12.2078051ISI: 000354079300023ScopusID: 2-s2.0-84928494468ISBN: 9781628414837OAI: diva2:818213
Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2015, 10 February 2015 through 12 February 2015

QC 20150608

Available from: 2015-06-08 Created: 2015-06-02 Last updated: 2015-06-08Bibliographically approved

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Wang, Weixing
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School of Information and Communication Technology (ICT)
Electrical Engineering, Electronic Engineering, Information Engineering

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