Algorithm for automatic detection and analysis of cracks in timber beams from LiDAR data

Journal article (2017)

Authors

M. Cabaleiro University of Vigo
R.C. Lindenbergh Optical and Laser Remote Sensing - CEG
W.F. Gard Steel & Composite Structures - CEG
P Arias-Sanchez University of Vigo
J.W.G. van de Kuilen Technische Universität München
Research Group
Optical and Laser Remote Sensing (CEG) (TU Delft)
Copyright: © 2017 M. Cabaleiro, R.C. Lindenbergh, W.F. Gard, P. Arias, J.W.G. van de Kuilen
DOI: https://doi.org/10.1016/j.conbuildmat.2016.11.032
Wood Laser scanning Crack Alpha-shapes
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Published Date

15-01-2017

Language

English

Faculty

Civil Engineering & Geosciences

Department

Geoscience and Remote Sensing

Research Group

Optical and Laser Remote Sensing

Abstract

Cracks may indicate structural problems in constructions made of timber beams, but their identification in notably roof constructions is difficult. Therefore this paper presents an algorithm for the automatic detection of cracks in timber beams sampled by LiDAR data. This algorithm enables the identification, analysis and monitoring of cracks and their geometrical characteristics. The algorithm is validated by tests on laboratory specimens and on a timber roof structure. The results prove that the proposed algorithm is able to automatically identify and analyze cracks with a width of above 3 mm from point clouds with an average resolution below 1 mm.