Image-based 3D reconstruction and recognition for enhanced highway condition assessment

Congress on Computing in Civil Engineering, Proceedings

Volumn , Issue , 2011, Pages 67-76

  Uslu, Berk ^a   Golparvar Fard, Mani ^a   De La Garza, Jesus M ^a  

^a Virginia Polytechnic Institute and State University   (United States)

Author keywords

Assessment; Highways and roads; Imaging techniques

Indexed keywords

3-D ENVIRONMENTS; 3D RECONSTRUCTION; ASSESSMENT; CONDITION ASSESSMENTS; COST IMPACT; DATA COLLECTION METHOD; DATA STORAGE; HIGH-RESOLUTION DIGITAL CAMERAS; HIGHWAYS AND ROADS; IMAGE-BASED; TRANSPORTATION SYSTEM; VISION-BASED METHODS;

ASSET MANAGEMENT; CIVIL ENGINEERING; COMPUTER VISION; DATA ACQUISITION; IMAGING TECHNIQUES; RATING; TRANSPORTATION;

THREE DIMENSIONAL;

EID: 80053169170     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/41182(416)9     Document Type: Conference Paper

References (18)

1. ASCE. (2009). The 2009 report card for America's infrastructure. http://www.asce.org/reportcard/2009. Accessed Jan. 10 2011.
2. Bascon S. M., Rodriguez J. Arroyo., A S. L., Caballero A. F., and Lopez-Ferreras F. (2010). "An optimization on pictogram identification for the road-sign recognition task using SVMs." CVIU. 14 (3), 373-383.
3. Bianchini A., Bandini P., and Smith D.W. (2010). "Interrater reliability of manual pavement distress evaluations." ASCE J. of Transp. Eng., 136 (2), 165-172.
4. de la Garza J. M., and Krueger D. A. (2007). "Simulation of highway renewal asset management strategies." Proc., ASCE Conf. of Computing in Civil Eng., 527-541, 2007.
5. Furukawa Y., Curless B., Seitz S.M. and Szeliski R. (2010). "Towards internet-scale multi-view stereo." Proc., Computer Vision and Pattern Recognition Conf.
6. Gallup D., Frahm J.-M., Pollefeys M. (2010). "A heightmap model for efficient 3D reconstruction from street-level video." Proc., Int. Conf. on 3D Data Processing, Visualization and Transmission (3DPVT2010).
7. 4AR - 4 dimensional augmented reality - tools for automated remote progress tracking and support of decision-enabling tasks in the AEC/FM industry." Proc., The 6th Int. Conf. on Innovations in AEC.
8. 4AR - a 4-dimensional augmented reality model for automating construction progress data collection, processing and communication." Journal of Information Technology in Construction (ITcon), 14, 129-153.
9. Golparvar-Fard M., Peňa-Mora F. Arboleda C. A., and Lee S. H. (2009b). "Visualization of construction progress monitoring with 4D simulation model overlaid on time-lapsed photographs." ASCE J. of Computing in Civil Engineering, 23 (6), 391-404
10. Hu Z. and Tsai Y. (2010) "Image Recognition Model for Developing a Sign Inventory" ASCE J. of Comp. in Civil Eng., in press.
11. Krishnan A. (2009). "Computer vision system for identifying road signs using triangulation and bundle adjustment". MS Thesis, Computer Engineering. Kansas State University, Manhattan, Kansas.
12. Maser K., J. (2005) "Automated systems for infrastructure condition assessment" ASCE J. Infrastruct. Syst. 11, 153.
13. Mashford J., P. Davis P., Rahilly M. "Pixel-based colour image segmentation using support vector machine for automatic pipe inspection," Proc. the 20th Australian Joint Conf. on AI, vol. 4830,739-743.
14. Meegoda J. N., Juliano T. M., and Banerjee A., (2006). "A Framework for Automatic Condition Assessment of Culverts," Paper No. 06-2414, 85th Annual Meeting of the Transportation Research Board, Washington, DC,
15. NAE, National Academy of Engineers (2010). Grand Challenges for Engineering. NAE of the National Academies.
16. Sotton J., Johnson M., Cipolla R., (2008). "Semantic Texton Forests for Image Categorization and Segmentation." Proc. Int. Conf. Computer Vision and Pattern Recognition.
17. Snavely N., Steven M. Seitz, S. M., Szeliski, R. (2007). "Modeling the World from Internet Photo Collections". Int. J. of Comp. Vis., 2007.
18. Wu J. and Tsai Y. (2006). "Enhanced Roadway Inventory Using 2-D Sign Video Image recognition Algorithm", J. of Computer-Aided Civil & Infrastructure Eng., 21, 369-382.