A real-time 3D scanning system for pavement distortion inspection

Measurement Science and Technology

Volumn 21, Issue 1, 2010, Pages

  Li, Qingguang ^a   Yao, Ming ^a   Yao, Xun ^a   Xu, Bugao ^a  

^a The University of Texas at Austin   (United States)

Author keywords

3D scanning; Pavement distortion; Pavement inspection; Sub pixel stripe location

Indexed keywords

CALIBRATION; EDGE DETECTION; INSPECTION; INTERPOLATION; PIXELS; SCANNING; THREE DIMENSIONAL COMPUTER GRAPHICS;

3D-SCANNING; CALIBRATION PROCEDURE; PAVEMENT INSPECTIONS; REAL TIME MEASUREMENTS; SCANNING TECHNIQUES; SECOND ORDER DERIVATIVES; SPLINE INTERPOLATION; SUB PIXELS;

PAVEMENTS;

EID: 77950229054     PISSN: 09570233     EISSN: 13616501     Source Type: Journal    
DOI: 10.1088/0957-0233/21/1/015702     Document Type: Article

References (34)

1. Strategic Highway Research Program 1993 Distress Identification Manual for the Long-Term Pavement Performance Project (Washington, DC: National Research Council)
2. University of Washington, Surface Distress http://pavementinteractive. org/index.php?title=Surface-Distress
3. Chung H C, Girardello R, Soeller T and Shinozuka M 2003 Automated management for pavement inspection system (AMPIS) SPIE, Proc. Smart Structures and Materials Conf. (San Diego, CA) vol 5057 pp 634-44
4. Girardello R 2002 Automated management of pavement inspection system (AMPIS) University of Padova http://www.tesionline.com/intl/thesis.jsp?idt=21846
5. McGhee K H 2004 NCHRP Synthesis of Highway Practice 334: Automated Pavement Distress Collection Techniques (Washington, DC: Transportation Research Board of the National Academies)
6. Wang K C P 2003 Transportation Research Circular: Automated Imaging Technologies for Pavement Distress Survey (Washington, DC: Committee A2B06, Transportation Research Board, National Research Council)
7. Howe R and Clemena G 1997 An assessment of the feasibility of developing and implementing an automated pavement distress survey system incorporating digital image processing Report Virginia Transportation Research Council, Department of Transportation, VA, USA
8. Guralnick S and Suen E 1995 Advanced testing of an automated NDE system for highway pavement surface condition assessment Project Report of the Idea Program Transportation Research Board, Washington, DC
9. Guralnick S, Suen E and Smith C 1993 Automating inspection of highway pavement surfaces J. Transp. Eng. 119 1-12
10. Wang K C P 2000 Designs and implementations of automated systems for pavement surface distress survey J. Infrastruct. Syst. 6 24-32
11. Xu B, Yao M, Yao X and Li Q 2008 Crackscope-automatic pavement cracking inspection system Center for Transportation Research, The University of Texas, Austin http://www.utexas.edu/research/ctr/pdf-reports/0-5708-P4.pdf
12. Monti M 1995 Large-area laser scanner with holographic detector optics for real-time recognition of cracks in road surfaces Opt. Eng. 34 2017-23
13. PAVUE www.ims-terracon.com
14. Bursanescu L, Bursanescu M, Hamdi M, Lardigue A and Paiement D 2001 Three-dimensional infrared laser vision system for road surface features analysis Proc. SPIE, ROMOPTO 2000: 6th Conf. on Optics (Bucharest, Romania) vol 4430 pp 801-8
15. ARAN http://www.roadware.com
16. INO-LRIS http://www.ino.ca/en-ca/achievements/ description/project-p/ laser-road-imaging.html
17. Fukuhara T, Terada K, Nagao M, Kasahara A and Ichihashi S 1990 Automatic pavement-distress-survey system J. Transp. Eng. 116 280-6
18. HARRIS http://www.trl.co.uk
19. SIRANO http://www.lcpc.fr/en/home.dml
20. Chung H C, Shinozuka M, Soeller T and Girardello R 2004 GIS-based automated management of highway surface crack inspection system Proc. SPIE, Nondestructive Detection and Measurement for Homeland Security II (San Diego, CA) vol 5395 pp 70-81
21. Zhou J, Huang P and Chiang F 2006 Wavelet-based pavement distress detection and evaluation Opt. Eng. 45 027007
22. Paquis S, Legeay V, Konik H and Charrier J 1999 Multiresolution texture analysis applied to road surface inspection Proc. SPIE, Machine Vision Applications in Industrial Inspection VII (San Jose, CA, USA) vol 3652 pp 242-9
23. Cheng H 1996 Automated real-time pavement distress detection using fuzzy logic and neural networks Proc. SPIE, Nondestructive Evaluation of Bridges and Highways (Scottsdale, AZ, USA) vol 2946 pp 140-51
24. Cheng H and Miyojim M 1998 Automatic pavement distress detection system Inf. Sci.-Inf. Comput. Sci. 108 219-40
25. Huang Y and Xu B 2006 Automatic inspection of pavement cracking distress J. Electron. Imaging 15 013017
26. Bursanescu L and Blais F 1997 Automated pavement distress data collection and analysis: a 3-D approach IEEE, 3-D Digital Imaging and Modeling, Int. Conf. on Recent Advances (Ottawa, Ontario, Canada) pp 311-7
27. Laurent J, Talbot M and Doucet M 1997 Road surface inspection using laser scanners adapted for the high precision 3D measurements of large flat surfaces IEEE, 3-D Digital Imaging and Modeling, Int. Conf. on Recent Advances (Ottawa, Ontario, Canada) pp 303-10
28. Wang K C P and Gong W 2002 Automated pavement distress survey: a review and a new direction Pavement Evaluation Conf. (Roanoke, VA, USA) pp 21-5
29. Hou Z, Wang K C P and Gong W 2007 Experimentation of 3D pavement imaging through stereovision ASCE, Int. Conf. on Transportation Engineering vol 246 pp 376-81
30. Tsai R 1987 A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses IEEE J. Robot. Autom. 3 323-44
31. Izquierdo M, Sanchez M, Ibanez A and Ullate L 1999 Sub-pixel measurement of 3D surfaces by laser scanning Sensors Actuators A 76 1-8
32. Yang R, Cheng S, Yang W and Chen Y 2008 Robust and accurate surface measurement using structured light IEEE Trans. Instrum. Meas. 57 1275-80
33. Dyer S and He X 2001 Cubic-spline interpolation: part 2 IEEE Instrum. Meas. Mag. 4 34-6
34. -2005 Pavement Management Information System Rater's Manual (Austin: Texas Department of Transportation)