DEVELOPMENT OF AUTOMATED ALGORITHMS FOR PAVEMENT CONDITION SURVEY
Image processing and analysis techniques have been successfully applied to the evaluation of some types of pavement surface distress, including longitudinal, transverse, and alligator cracking. Many efforts have been made to develop automated evaluation for other types of distress patterns, but, due to the complexities of these distress types, the results were not as positive as for those distresses mentioned above. The main objectives are to develop image segmentation and classification methods to isolate distress features, and to develop the back-propagation neural network model to recognize block cracking and potholes, in addition to alligator, longitudinal, and transverse cracking. It was observed that longitudinal, transverse, alligator, and block cracking were accurately recognized, and the analytical system has a success rate of 93% for potholes. Preliminary results indicate that the proposed approach is very positive and has great potential for integration into an automated system for pavement distress evaluation.
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- Summary URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/0309059089
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Supplemental Notes:
- This paper appears in Transportation Research Record No. 1536, Traffic and Pavement Surface Monitoring Issues.
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Chou, C J
- Liau, T
- Publication Date: 1996
Language
- English
Media Info
- Features: Figures; Photos; References; Tables;
- Pagination: p. 103-109
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Serial:
- Transportation Research Record
- Issue Number: 1536
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Accuracy; Algorithms; Alligator cracking; Automation; Block cracking; Condition surveys; Defects; Image processing; Longitudinal cracking; Neural networks; Pavement distress; Pavements; Transverse cracking
- Uncontrolled Terms: Potholes
- Old TRIS Terms: Alligatoring
- Subject Areas: Highways; Pavements; I23: Properties of Road Surfaces;
Filing Info
- Accession Number: 00728494
- Record Type: Publication
- ISBN: 0309059089
- Files: TRIS, TRB
- Created Date: Nov 26 1996 12:00AM