Multi-scale 3D roughness quantification of concrete interfaces and pavement surfaces with a single-camera set-up

Autor: Daniel Dias-da-Costa, Munawar Sarker, S. Ali Hadigheh
Rok vydání: 2019
Předmět:
Zdroj: Construction and Building Materials. 222:511-521
ISSN: 0950-0618
DOI: 10.1016/j.conbuildmat.2019.06.157
Popis: The quantification of the surface roughness of concrete pavements is important for upgrading and maintenance operations. This paper explores the application of stereoscopy in the morphology assessment of surfaces with exposed aggregates. The approach herein proposed is based on a single camera to avoid the need for multiple view points and calibration of multiple cameras. An application example is used to address the issues related to the point cloud reconstruction and filtering of the surface points acquired, whilst keeping computational costs reduced. The accuracy of the technique is evaluated by a detailed comparison with a scan using several roughness quantification statistical parameters. Kurtosis is shown to better compare surface profiles and overcome limitations found in standard parameters. A good match between techniques is achieved, with global mean errors of less than 3% in the surface roughness, and local mean errors below 5%. The proposed technique is low-cost and has the potential to be used for the automatic acquisition and characterisation of concrete surfaces.
Databáze: OpenAIRE
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