DocumentCode :
579411
Title :
Automatic detection of discontinuities from 3D point clouds for the stability analysis of jointed rock masses
Author :
García-Cortés, S. ; Galán, C. Ordóñez ; Argüelles-Fraga, R. ; Díaz, A. Menéndez
Author_Institution :
Dept. of Min. Exploitation, Univ. of Oviedo, Oviedo, Spain
fYear :
2012
fDate :
2-5 Sept. 2012
Firstpage :
595
Lastpage :
598
Abstract :
We describe an strategy for automatic detection of discontinuities in jointed rock masses from a 3D point cloud. The method consists on a sequence of processes for feature extraction and characterization of the discontinuities that use voxelization, robust detection of planes by sequential RANSAC and clustering. The results obtained by applying this methodology to the 3D point cloud are a set of discontinuity families, characterized by their dips and dip directions, and surface wedges. This geometric information is essential for a later stability analysis of the jointed rock mass. The ultimate aim of our investigation is the automatic extraction of discontinuity families for stability analysis of tunnels excavated in jointed rock masses.
Keywords :
computational geometry; feature extraction; geophysics computing; pattern clustering; rocks; tunnels; 3D point clouds; automatic discontinuity detection; clustering; dip directions; feature extraction; geometric information; jointed rock masses; robust plane detection; sequential RANSAC; stability analysis; surface wedges; tunnel excavation; voxelization; Clustering algorithms; Educational institutions; Feature extraction; Mouth; Octrees; Rocks; Stability analysis; clustering; discontinuities; sequential RANSAC; terrestrial laser scanning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Virtual Systems and Multimedia (VSMM), 2012 18th International Conference on
Conference_Location :
Milan
Print_ISBN :
978-1-4673-2564-6
Electronic_ISBN :
978-1-4673-2563-9
Type :
conf
DOI :
10.1109/VSMM.2012.6365985
Filename :
6365985
Link To Document :
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