Development of Standard Format for Pavement Image Data
Publication: Journal of Infrastructure Systems
Volume 25, Issue 1
Abstract
Because proprietary image data formats are used in the pavement industry, there is a critical need to develop a standard interchangeable format for pavement surface conditions and transverse profiles such that pavement image data from various highway agencies and technology suppliers can be shared across different analyses and software platforms. A comprehensive literature review and a survey of current practices found that two-dimensional (2D) image data compression is primarily based on JPEG and JPEG2000, whereas the three-dimensional (3D) laser scanning and imaging technology has rapidly gained popularity using various data formats and dynamic ranges. In this study, a standard data format for 2D and 3D pavement images is developed to meet different data requirements. The standard contains two parts. The first part is the core section including file header, 2D intensity data, and 3D range data, whose definitions shall not be changed as the data format standard evolves; the second part is primarily user-defined metadata, which can be extended and modified as needed to accommodate individual data collection practices and equipment. The expected benefits include facilitating workable protocols for condition surveys, improving implementation of new technologies, and accelerating the development of analysis tools for pavement condition evaluation.
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Acknowledgments
This paper was prepared under research project, “Development of Standard Data Format for 2-Dimensional and 3-Dimensional (2D/3D) Pavement Image Data that is Used to Determine Pavement Surface Condition and Profiles,” sponsored by the Federal Highway Administration. The opinions expressed in the paper are those of the authors, who are responsible for the accuracy of the facts and data herein, and do not necessarily reflect the official policies of the sponsoring agencies. This paper does not constitute a standard, regulation, or specification.
References
ASTM International. 2010. “ASTM 3D Imaging Systems Committee approves new standard for data exchange.” Accessed May 31, 2018. https://www.astm.org/newsroom/astm-3d-imaging-systems-committee-approves-new-standard-data-exchange.
Berthelot, B. R., J. Royan, T. Duval, and B. Arnaldi. 2012. “3DFC: A new container for 3D file formats compositing.” In Proc., 17th Int. Conf. on 3D Web Technology, 27–36. New York: ACM.
Cignoni, P., M. Callieri, M. Corsini, M. Dellepiane, F. Ganovelli, and G. Ranzuglia. 2008. “Meshlab: An open-source mesh processing tool.” Proc., 6th Eurographics Italian Chapter Conf., 129–136. Salerno, Italy.
Darwiche, M., T. A. Pham, and M. Delalandre. 2015. “Comparison of JPEG’s competitors for document images.” In Proc., 2015 Int. Conf. on Image Processing Theory, Tools and Applications, 487–493. Piscataway, NJ: IEEE.
Dufaux, F., G. Sullivan, and T. Ebrahimi. 2009. “The JPEG XR image coding standard.” IEEE Signal Process Mag. 26 (6): 195–204. https://doi.org/10.1109/MSP.2009.934187.
ECMA (European Computer Manufacturers Association) International. 2007. “Standard ECMA-363: Universal 3D file format.” Accessed December 10, 2017. https://www.ecma-international.org/publications/files/ECMA-ST/ECMA-363%204th%20Edition.pdf.
FHWA (Federal Highway Administration). 2008. Pavement management systems peer exchange program report. Washington, DC: US Dept. of Transportation.
FHWA (Federal Highway Administration). 2010. Highway performance monitoring system field manual. Washington, DC: US Dept. of Transportation.
FHWA (Federal Highway Administration). 2012. Moving ahead for progress in the 21st century act (MAP-21): A summary of highway provisions. Washington, DC: US Dept. of Transportation.
FHWA (Federal Highway Administration). 2018. “TPF-5(299): Pavement surface condition data and analysis.” Accessed May 31, 2018. https://collaboration.fhwa.dot.gov/dot/fhwa/tpf5299/default.aspx.
Flintsch, G., and K. K. McGhee. 2009. Quality management of pavement condition data collection. Washington, DC: Transportation Research Board.
Huang, Y., T. Copenhaver, P. Hempel, and M. Mikhail. 2013. “Development of texture measurement system based on continuous profiles from three-dimensional scanning system.” Transp. Res. Rec. 2367 (1): 13–22. https://doi.org/10.3141/2367-02.
Huber, D. 2011. “The ASTM E57 file format for 3D imaging data exchange.” In Vol. 7864A of Proc., SPIE Electronics Imaging Science and Technology Conf. on 3D Imaging Metrology. Bellingham, WA: SPIE.
Marcellin, M. W., M. J. Gormish, A. Bilgin, and M. P. Boliek. 2000. “An overview of JPEG-2000.” In Proc., Data Compression Conf., 523–541. Piscataway, NJ: IEEE.
McGhee, K. H. 2004. Automated pavement distress collection techniques: A synthesis of highway practice: NCHRP Highway Synthesis 334. Washington, DC: Transportation Research Board.
McHenry, K., and P. Bajcsy. 2008. An overview of 3D data content, file formats and viewers. Urbana, IL: Univ. of Illinois at Urbana-Champaign.
MeVis Medical Solutions. 2018. “MeVisLab reference manual.” Accessed May 31, 2018. https://www.mevislab.de/developer/documentation/.
Miano, J. 2000. Compressed image file formats: JPEG, PNG, GIF, XBM, BMP: SIGGraph series. New York: ACM.
OpenCRG. 2017. “OpenCRG: Manage the road surface ahead.” Accessed December 10, 2017. https://www.opencrg.org/.
Pathway Services. 2017. “Pavement condition surveys.” Accessed December 10, 2017. https://www.pathwayservices.com/pavement-data-collection/.
Pavemetrics. 2017. “Laser crack measurement system (LCMS).” Accessed December 10, 2017. https://www.pavemetrics.com/applications/road-inspection/laser-crack-measurement-system/.
Pierce, L. M., G. McGovern, and K. A. Zimmerman. 2013. Practical guide for quality management of pavement condition data collection. Urbana, IL: Applied Pavement Technology.
Rauh, J., and H. Gimmler. 2017. “Road simulation CRG (curved regular grid) road data format overview.” Accessed December 10, 2017. https://www.vires.com/opencrg/docs/CRG-Overview.pdf.
Ritter, N., and M. Ruth. 1997. “The GeoTiff data interchange standard for raster geographic images.” Int. J. Remote Sens. 18 (7): 1637–1647. https://doi.org/10.1080/014311697218340.
Stamm, C. 2002. “PGF: A new progressive file format for lossy and lossless image compression.” J. WSCG 10 (2): 421–428.
Taskin, C., and S. K. Sarikoz. 2010. “An overview of image compression approaches.” In Proc., Fifth Int. Conf. on Digital Telecommunications, 174–179. Washington, DC: IEEE.
Tsai, Y., and Z. Wang. 2014. A remote sensing and GIS-based asset management system (RS-GAMS). Atlanta: Georgia Institute of Technology.
Wallace, G. K. 1992. “The JPEG still picture compression standard.” IEEE Trans. Consum. Electron. 38 (1): 30–44. https://doi.org/10.1109/30.125072.
Wang, C. P. 2011. “Elements of automated survey of pavements and a 3D methodology.” J. Mod. Transp. 19 (1): 51–57. https://doi.org/10.1007/BF03325740.
Wang, C. P., Q. Li, G. Yang, Y. Zhan, and Y. Qiu. 2015. “Network level pavement evaluation with 1 mm 3D survey system.” J. Traffic Transp. Eng. 2 (6): 391–398. https://doi.org/10.1016/j.jtte.2015.10.005.
Wang, C. P., and O. Smadi. 2011. Automated imaging technologies for pavement distress surveys. Washington, DC: Transportation Research Board.
Wright, A., E. Benbow, R. Spielhofer, L. Sjögren, G. Hildebrand, D. Kokot, M. Thomas, and R. Rabe. 2016. “Hi-SPEQ—Developing the technical and quality requirements for high-speed condition surveys of road networks.” Transp. Res. Procedia 14: 2956–2965. https://doi.org/10.1016/j.trpro.2016.05.417.
Wu, M. C., and A. P. Buchmann. 1998. “Encoded bitmap indexing for data warehouses.” In Proc., 14th Int. Conf. on Data Engineering, 220–230. Piscataway, NJ: IEEE.
Ziering, E., F. Harrison, and P. Scarponcini. 2007. TransXML: XML schemas for exchange of transportation data. Washington, DC: Transportation Research Board.
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Published In
Journal of Infrastructure Systems
Volume 25 • Issue 1 • March 2019
Copyright
©2018 American Society of Civil Engineers.
History
Received: Jan 4, 2018
Accepted: Jul 26, 2018
Published online: Nov 22, 2018
Published in print: Mar 1, 2019
Discussion open until: Apr 22, 2019
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