Transportation Informatics: Advanced Image Processing Techniques for Automated Pavement Distress Evaluation
Pavement condition assessment is a critical part of infrastructure management. Methods to reduce the time required to collect and analyze the data or to reduce the subjectivity in the interpretation of the data could be beneficial to parties responsible for the management of pavement structures. Two methods have been proposed, each of which addresses one of the limitations of the existing methods of pavement condition assessment. The first method is the development of a computerized interface and database for pavement condition assessment from digital photographs. The intent of using digital photographs rather than a windshield survey for data collection is to allow easier identification of conditions and re-evaluation in the event of discrepancies among results obtained by individual inspectors. The second method is to apply image processing techniques to the pavement condition assessment process from digital photographs. The intent of using digital photographs and image processing techniques is to automate the pavement condition assessment process, thereby removing the subjective nature of manual assessment. The researchers at the University of Detroit Mercy developed a computer interface which allows the user to review digital photographs from Google Earth, identify defects present.
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Supplemental Notes:
- This research was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
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Corporate Authors:
Michigan Ohio University Transportation Center
University of Detroit Mercy, 4001 W McNichols Road
Detroit, MI United States 48221University of Detroit Mercy
Department of Civil and Environmental Engineering
4001 West McNichols Drive
Detroit, MI United States 48221-3038University of Toledo
Department of Electrical Engineering and Computer Science
Toledo, OH United States 43606Michigan Department of Transportation
State Transportation Building, 425 West Ottawa Street, P.O. Box 30050
Lansing, MI United States 48909Research and Innovative Technology Administration
1200 New Jersey Avenue, SE
Washington, DC United States 20590 -
Authors:
- Lynch, James
- Dutta, Utpal
- Salari, Ezzatollah
- Publication Date: 2010-9
Language
- English
Media Info
- Media Type: Digital/other
- Edition: Final Report
- Features: Figures; References;
- Pagination: 23p
Subject/Index Terms
- TRT Terms: Asset management; Automation; Condition surveys; Digitized photography; Image processing; Pavement distress; Pavement management systems; Pavement performance
- Identifier Terms: Pavement Condition Index
- Subject Areas: Highways; Pavements; I23: Properties of Road Surfaces;
Filing Info
- Accession Number: 01357443
- Record Type: Publication
- Report/Paper Numbers: RC-1545I, MIOH UTC TS18p2 2011-Final- UDM
- Contract Numbers: 2007-0538
- Files: UTC, TRIS, USDOT, STATEDOT
- Created Date: Nov 29 2011 1:43PM