Automatic filtering of terrestrial laser scanner data from cylindrical tunnels

In 2010, the construction of a double tube railway tunnel started under the Scheldt River in the port of Antwerp, Belgium. During the construction process, which will end in 2013, a systematic survey campaign is organized to perform an ovalization monitoring of selected concrete sections in both tunnels. A phase-based terrestrial laser scanner Leica HDS6100 is used to generate dense point sets of each selected section, with a spatial resolution of 4 mm or higher on specific moments in time. Based on every point set, a cross-section is calculated, which is compared with previously calculated cross-sections, to determine the deformation of the tunnel section. The location of the cross-section is defined by a materialized reference target and this cross-section is perpendicular to the axis of a best fit cylinder. This best fit cylinder is defined by a point set of of 7 concrete circular curved elements. After a point filtering has been performed, the cylinder is calculated by a least square fitting algorithm on the point set of each tunnel section.

[1]  Kenneth Levenberg A METHOD FOR THE SOLUTION OF CERTAIN NON – LINEAR PROBLEMS IN LEAST SQUARES , 1944 .

[2]  George Vosselman,et al.  COMPARISON OF FILTERING ALGORITHMS , 2003 .

[3]  Hans De Backer,et al.  Strain gauge measurements during the assembly of the Diabolo Tunnel , 2010 .

[4]  Hans De Backer,et al.  High resolution terrestrial laser scanning for tunnel deformation measurements , 2010 .

[5]  F. Crosilla,et al.  POINTS CLASSIFICATION BY A SEQUENTIAL HIGHER – ORDER MOMENTS STATISTICAL ANALYSIS OF LIDAR DATA , 2012 .

[6]  Nico Blodow,et al.  Learning informative point classes for the acquisition of object model maps , 2008, 2008 10th International Conference on Control, Automation, Robotics and Vision.

[7]  Dimitri Lague,et al.  3D Terrestrial LiDAR data classification of complex natural scenes using a multi-scale dimensionality criterion: applications in geomorphology , 2011, ArXiv.

[8]  Manolis I. A. Lourakis A Brief Description of the Levenberg-Marquardt Algorithm Implemented by levmar , 2005 .

[9]  N. Pfeifer GEOMETRICAL ASPECTS OF AIRBORNE LASER SCANNING AND TERRESTRIAL LASER SCANNING , 2007 .

[10]  Craig M. Shakarji,et al.  Least-Squares Fitting Algorithms of the NIST Algorithm Testing System , 1998, Journal of research of the National Institute of Standards and Technology.

[11]  Peter Krzystek,et al.  FILTERING OF LASER SCANNING DATA IN FOREST AREAS USING FINITE ELEMENTS , 2003 .

[12]  D. Marquardt An Algorithm for Least-Squares Estimation of Nonlinear Parameters , 1963 .

[13]  Dimitri Lague,et al.  3D Terrestrial LiDAR data , 2011 .