SPECIAL SECTION: Robotics and Automatic Imaging in Transportation Engineering
May 1, 1990

Digital Imaging Concepts and Applications in Pavement Management

Publication: Journal of Transportation Engineering
Volume 116, Issue 3

Abstract

The potential application of image‐processing methods to automate the manual data collection and visual rating of pavement surface conditions has not been widely recognized until relatively recently. A cost‐effective automated system to capture and extract pavement‐surface distress from video images would improve safety and efficiency, and could offer consistency and uniformity of data and data quality, both locally and nationally. The purpose of this paper is to provide an introduction for transportation engineers, especially pavement engineers, to digital image‐processing concepts and applications in pavement management. This includes pavement‐surface‐distress data of concern, basic machine‐vision and digital‐image‐processing concepts, video‐system characteristics for automated distress‐data collection, and existing systems for digital imaging in pavement management in the United States, Japan, and France. It is concluded that in a relatively short time substantial progress has been made in the development of automated systems for distress‐data acquisition and interpretation, and enhanced capabilities can be expected in the near future. Digital imaging technology is playing a significant role in these efforts.

Get full access to this article

View all available purchase options and get full access to this article.

References

1.
Ballard, D. H., and Brown, C. M. (1982). Computer vision. Prentice‐Hall, Englewood Cliffs, N.J.
2.
Butler, B. (1989). “Pavement surface distress segmentation using real‐time imaging.” Proc. 1st Int. Conf. on Applications of Advanced Tech. in Transp. Engrg., ASCE, San Diego, Calif.
3.
Caroff, G., et al. (1989). “Classification of pavement distresses by image processing (MACADAM SYSTEM).” Proc. 1st Int. Conf. on Applications of Advanced Tech. in Transp. Engrg., ASCE, San Diego, Calif.
4.
Caroff, G., et al. (1990). “MACADAM: An operating system of pavement deterioration diagnosis by image processing.” Paper No. 890393, 69th Annual Transp. Res. Board Meeting, Washington, D.C.
5.
Chan, K. B., Soetandio, and Lytton, R. L. (1989). “Distress identification by an automatic thresholding technique.” Proc. 1st Int. on Applications of Advanced Tech. in Transp. Engrg., ASCE, San Diego, Calif.
6.
Cox, G. M., Fronek, D., and Merril, R. (1986). “Real‐time computer vision using intelligent hardware.” Proc. Int. Soc. for Optical Engrg., Orlando, Fla., Vol. 635.
7.
Curphey, D. R., Fronek, D. K., and Wilson, J. H. (1984). “Pavement management using video imaging techniques.” Phase 1 Final Res. Report, Nat. Sci. Found., Washington, D.C.
8.
Dougherty, E. R., and Giardina, C. R. (1987). Image processing—continuous to discrete, volume 1: Geometric, transform and statistical methods. Prentice‐Hall, Englewood Cliffs, N.J.
9.
Fukuhara, T., et al. (1989). “Automatic pavement distress survey system.” Proc. 1st Int. Conf. on Applications of Advanced Tech. in Transp. Engrg., ASCE, San Diego, Calif.
10.
Haas, C., et al. (1984). “Application of image analysis technology to automation of pavement condition surveys.” Paper, Roads and Transportation Association of Canada, Montreal, Canada.
11.
Haas, R., and Hudson, W. R. (1978). Pavement management systems, McGraw‐Hill Book Co., Inc., New York, N.Y.
12.
McDaniel, L. D. (1989). “Image processing for pavement distress management: Pavement distress imager.” Presentation at the Transportation Board Annual Meeting, Washington, D.C.
13.
Mendelsohn, D. H. (1987). “Automated pavement crack detection: An assessment of leading technologies.” Proc. 2nd North Amer. Conf. on Managing Pavements, Vol. 3, Toronto, Canada.
14.
Michalopoulos, P. (1989). “Machine vision system for multispot vehicle detection.” Proc. 1st Int. Conf. on Applications of Advanced Tech. in Transp. Engrg., ASCE, San Diego, Calif.
15.
Michalopoulos, P., Wolf, B., and Benke, R. (1990). “Testing and field implementation of the Minnesota video detection system.” Paper No. 890457, 69th Annual Transp. Res. Board Meeting, Washington, D.C.
16.
Pavlidis, T. (1982). Algorithms for graphics and image processing. Computer Science Press, Rockville, Md.
17.
Rich, E. (1983). Artificial intelligence. McGraw‐Hill Book Co., Inc., New York, N.Y.
18.
Ritchie, S. G. (1987a). “Applications of expert systems for managing pavements.” Proc., 2nd North Amer. Conf. on Managing Pavements, Toronto, Canada.
19.
Ritchie, S. G. (1987b). “Expert systems in pavement management.” Transp. Res., Part A, Volume 21A(2), Pergamon Press, Elmsford, N.Y.
20.
System development progress report. (1989). Pavement Condition Evaluation Services, Vol. 1, Sparks, Nev.
21.
“Video image processing for evaluating pavement surface distress.” (1988). Project Statement for Project Number 1‐27, National Co‐Operative Highway Res. Program (NCHRP), Washington, D.C.

Information & Authors

Information

Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 116Issue 3May 1990
Pages: 287 - 298

History

Published online: May 1, 1990
Published in print: May 1990

Permissions

Request permissions for this article.

Authors

Affiliations

Stephen G. Ritchie, Associate Member, ASCE
Assoc. Prof., Dept. of Civ. Engrg. and Inst. of Transp. Studies, Univ. of California, Irvine, CA 92717

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share