A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
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.
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.
Transportation Informatics: Advanced Image Processing Techniques for Automated Pavement Distress Evaluation
J. Lynch (author)
2010
23 pages
Report
No indication
English
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