Semi-automatic Inspection Tool of Pavement Condition from Three-dimensional Profile Scans
In the present work the preliminary study on qualitative and quantitative assessment of the road surface condition is presented. The work is motivated by a very actual and important problem of visual inspection of the road network. In general the road managers are obliged to perform a regular, periodic maintenance road testing, also the road constructors and civil engineers in the recent design framework – ‘design-build-maintain’ – are interested in seasonal inspections of their constructions. Therefore the semi- or full-automatic visual testing methods of the road surface condition are under a constant development and in the center of interest of many research groups. Herein the main attention is focused on the automatic quantification of a road surface damage type from the three-dimensional cloud points. The stereo vision system, its intrinsic and extrinsic parameters as well as the correspondence-reconstruction problems are here assumed theoretically, since the practical design of the full methodology is still under development in the ongoing national project.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/18777058
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Supplemental Notes:
- © 2017 Tomasz Garbowski and Tomasz Gajewski. Published by Elsevier Ltd.
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Authors:
- Garbowski, Tomasz
- Gajewski, Tomasz
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Conference:
- 12th International Conference Modern Building Materials, Structures and Techniques (MBMST 2016)
- Location: Vilnius , Lithuania
- Date: 2016-5-26 to 2016-5-27
- Publication Date: 2017
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References;
- Pagination: pp 310-318
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Serial:
- Procedia Engineering
- Volume: 172
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1877-7058
- Serial URL: http://www.sciencedirect.com/science/journal/18777058
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Inspection; Pavements
- Uncontrolled Terms: 3-D laser scanning; 3D point cloud; Automatic detection; Surface condition; Three dimensional profiling
- Subject Areas: Highways; Pavements;
Filing Info
- Accession Number: 01632178
- Record Type: Publication
- Files: TRIS
- Created Date: Feb 22 2017 4:30PM