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Intelligent crack extraction and analysis for tunnel structures with terrestrial laser scanning measurement

verfasst von
Xiangyang Xu, Hao Yang
Abstract

An automatic and intelligent method for crack detection is significantly important, considering the popularity of large constructions. How to identify the cracks intelligently from massive point cloud data has become increasingly crucial. Terrestrial laser scanning is a measurement technique for three-dimensional information acquisition which can obtain coordinates and intensity values of the laser reflectivity of a dense point cloud quickly and accurately. In this article, we focus on the optimal parameter of Gaussian filtering to balance the efficiency of crack identification and the accuracy of crack analysis. The innovation of this article is that we propose a novel view of the signal-to-noise ratio gradient for Gaussian filtering to identify and extract the cracks automatically from the point cloud data of the terrestrial laser scanning measurement.

Organisationseinheit(en)
Geodätisches Institut
Typ
Artikel
Journal
Advances in Mechanical Engineering
Band
11
ISSN
1687-8132
Publikationsdatum
09.2019
Publikationsstatus
Veröffentlicht
Peer-reviewed
Ja
ASJC Scopus Sachgebiete
Maschinenbau
Elektronische Version(en)
https://doi.org/10.1177/1687814019872650 (Zugang: Offen)
https://doi.org/10.15488/8814 (Zugang: Offen)
 

Details im Forschungsportal „Research@Leibniz University“