Design and optimisation of laser scanning for tunnels geometry inspection

Pejić, Marko

doi:10.1016/j.tust.2013.04.004

Cited by 90 publications

(34 citation statements)

References 10 publications

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“…Several studies examine factors that influence accuracy and precision, such as the distance between the sensor and the object, the type of material and, in the case of a tunnel, the angle of incidence (Pejic et al, 2013;Roca-Pardiñas et al, 2014).…”

Section: Laser Scanningmentioning

confidence: 99%

“…Specific conditions affect work in a tunnel: the working distance is more limited, the atmospheric conditions influence the reflectivity of the material and are not controlled (Pejic et al, 2013), the work is basically in a line, and the localisation of the TLS stations is critical to the analysis, in order to avoid incidence angles that lead to intolerable errors. Pejic et al (2013) determined that the influence of the angle of incidence on measurement noise is 30%, so in the normal conditions of a railway tunnel, the maximum distance scan should be 13 mm, which significantly increases the number of stations required.…”

Section: Laser Scanningmentioning

confidence: 99%

“…Pejic et al (2013) determined that the influence of the angle of incidence on measurement noise is 30%, so in the normal conditions of a railway tunnel, the maximum distance scan should be 13 mm, which significantly increases the number of stations required. The ideal localisation of the TLS is the centre of the tunnel, in order to distribute the noise evenly.…”

Section: Laser Scanningmentioning

confidence: 99%

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The use of geomatic techniques to improve the management of metro infrastructure

et al. 2017

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The management of large infrastructures requires comprehensive knowledge of their general characteristics and the elements that constitute them. It is essential to know which elements are involved and where they are located. At the same time, it is vital to understand the overall geometry. The accuracy and precision required for both types of information is different: much greater accuracy is required in the understanding of the geometry. However, it is difficult to obtain this information about underground infrastructures due to their lighting characteristics, hazards, lack of GNSS (Global Navigation Satellite System) signals, and time available. In this case, to achieve the required quality in both tasks, the mobile mapping systems that are widely used in large surveys and urban inventories have to be adapted to obtain data in underground conditions. To achieve this, considerable geodesic support is necessary. The GNSS positioning system should be replaced by IMU sensors, and infrared sensor cameras are used, among other pieces of equipment. To establish the trajectory, additional information extracted from the targets detected in the laser scanning point clouds must be used. Therefore, a laser scanning and kinematic photogrammetry survey was carried out to obtain the centimetric precision and complete information that is still used today. This paper presents an adaptation of these systems for use in the Ferrocarril Metropolità de Barcelona.

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Section: Laser Scanningmentioning

confidence: 99%

Section: Laser Scanningmentioning

confidence: 99%

Section: Laser Scanningmentioning

confidence: 99%

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The use of geomatic techniques to improve the management of metro infrastructure

et al. 2017

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“…Weixing Wang et al (2014) present a short history of TLS techniques used for tunnels detecting geological features of drilling tunnels through the application of monitoring the geometry of tunnels during excavation, making deformation measurements and extracting features. Marko Pejić et al (2013) give an optimal solution for surveying tunnel geometry using laser scanning technology to reliably inspect railway tunnels and create "as-built" documentation. Ramón Argüelles-Fraga et al (2013) describe an approach to scanning circular cross-section tunnels which determines the maximum scan distance and the angular sampling interval that yield a pre-determined level of accuracy while minimizing working time.…”

Section: Introductionmentioning

confidence: 99%

Tunnel Point Cloud Filtering Method Based on Elliptic Cylindrical Model

Zhu¹,

Jiaa²,

Luo³

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The large number of bolts and screws that attached to the subway shield ring plates, along with the great amount of accessories of metal stents and electrical equipments mounted on the tunnel walls, make the laser point cloud data include lots of non-tunnel section points (hereinafter referred to as non-points), therefore affecting the accuracy for modeling and deformation monitoring. This paper proposed a filtering method for the point cloud based on the elliptic cylindrical model. The original laser point cloud data was firstly projected onto a horizontal plane, and a searching algorithm was given to extract the edging points of both sides, which were used further to fit the tunnel central axis. Along the axis the point cloud was segmented regionally, and then fitted as smooth elliptic cylindrical surface by means of iteration. This processing enabled the automatic filtering of those inner wall non-points. Experiments of two groups showed coincident results, that the elliptic cylindrical model based method could effectively filter out the non-points, and meet the accuracy requirements for subway deformation monitoring. The method provides a new mode for the periodic monitoring of tunnel sections all-around deformation in subways routine operation and maintenance.

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“…Monserrat and Crosetto [8] proposed a procedure to measure land deformation using repeated terrestrial laser scanning (TLS) acquisitions and the least-squares surface-matching algorithm proposed by Gruen and Akca [9]. Pejic' [10] presented a method for inspecting tunnel geometries that focused on the optimization of scan registrations, the georeferencing approach and the design of the survey control network.…”

Section: Introductionmentioning

confidence: 99%

Continuous Extraction of Subway Tunnel Cross Sections Based on Terrestrial Point Clouds

Zhang

Tuo³

et al. 2014

Remote Sensing

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An efficient method for the continuous extraction of subway tunnel cross sections using terrestrial point clouds is proposed. First, the continuous central axis of the tunnel is extracted using a 2D projection of the point cloud and curve fitting using the RANSAC (RANdom SAmple Consensus) algorithm, and the axis is optimized using a global extraction strategy based on segment-wise fitting. The cross-sectional planes, which are orthogonal to the central axis, are then determined for every interval. The cross-sectional points are extracted by intersecting straight lines that rotate orthogonally around the central axis within the cross-sectional plane with the tunnel point cloud. An interpolation algorithm based on quadric parametric surface fitting, using the BaySAC (Bayesian SAmpling Consensus) algorithm, is proposed to compute the cross-sectional point when it cannot be acquired directly from the tunnel points along the extraction direction of interest. Because the standard shape of the tunnel cross section is a circle, circle fitting is implemented using RANSAC to reduce the noise. The proposed approach is tested on terrestrial point clouds that cover a 150-m-long segment of a Shanghai subway tunnel, which were acquired using a LMS VZ-400 laser scanner. The results indicate that OPEN ACCESSRemote Sens. 2014, 6 858 the proposed quadric parametric surface fitting using the optimized BaySAC achieves a higher overall fitting accuracy (0.9 mm) than the accuracy (1.6 mm) obtained by the plain RANSAC. The results also show that the proposed cross section extraction algorithm can achieve high accuracy (millimeter level, which was assessed by comparing the fitted radii with the designed radius of the cross section and comparing corresponding chord lengths in different cross sections) and high efficiency (less than 3 s/section on average).

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Design and optimisation of laser scanning for tunnels geometry inspection

Cited by 90 publications

References 10 publications

The use of geomatic techniques to improve the management of metro infrastructure

The use of geomatic techniques to improve the management of metro infrastructure

Tunnel Point Cloud Filtering Method Based on Elliptic Cylindrical Model

Continuous Extraction of Subway Tunnel Cross Sections Based on Terrestrial Point Clouds

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