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