Automated Real-Time Pavement Crack Detection and Classification System

This Innovations Deserving Exploratory Analysis (IDEA) project refined and evaluated in the field an automated high resolution imaging system to detect and classify pavement cracks in real time at highway speeds. Work in a vehicle with a camera and accessories installed by the Utah Department of Transportation (DOT) allowed integration of the pavement crack analysis and detection system developed in the earlier IDEA project (NCHRP-81). While field tests demonstrated the system's capability of recording and processing of images at speeds up to 80 mph, the camera performed unsatisfactorily for the desired resolution. Consequently, a line camera with necessary specifications was procured and used to collect additional data. However, the line camera showed problems with synchronization, white light calibration, and interruption in image capture with change in scan rate. Use of wide angle lens with area camera produced distortion in the captured images. While an interpolation method appeared to help correct the distortion, it greatly increased the processing time. A satisfactory solution was to use two cameras without the wide-angle lens. This approach was used in field testing by Utah DOT. The testing program used five descriptive statistics (accuracy, sensitivity, specificity, positive predictive value and negative predictive value) to objectively evaluate the system's performance. The test results and feedback from Utah DOT were used to refine and upgrade the system. The final integrated system is ready for surveying pavement distress on highways. The detailed list of test images and results can be downloaded from the website

  • Record URL:
  • Supplemental Notes:
    • This NCHRP-IDEA investigation was conducted by the Utah State University, Logan, and the Utah Department of Transportation. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved
  • Authors:
    • Cheng, H D
    • Glazier, Chris
  • Publication Date: 2007-1


  • English

Media Info

  • Media Type: Print
  • Edition: Final Report
  • Features: Figures; Photos; References; Tables;
  • Pagination: 14p
  • Serial:
  • Publication flags:

    Open Access (libre)

Subject/Index Terms

Filing Info

  • Accession Number: 01047001
  • Record Type: Publication
  • Report/Paper Numbers: TRB-NCHRP-106
  • Files: TRIS, TRB
  • Created Date: Apr 26 2007 7:54AM