Pavement distress detection and analysis is an important component of pavement management systems. Conventional visual and manual pavement distress analysis techniques are very costly, time-consuming, dangerous, labor-intensive, tedious, and subjective, have a high degree of variability, are unable to provide meaningful quantitative information, and almost always leading to inconsistencies in distress detail over space and across evaluations. In this project, a novel system for multipurpose automated real-time pavement distress analysis based on CVPRIP (Computer Vision, Pattern Recognition and Image Processing) technologies is presented.
Automated Real-Time Pavement Crack Deflection/Classification System
2002
28 pages
Report
Keine Angabe
Englisch
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