Detection of pavement distresses using 3D laser scanning technology

Proceedings of the 2005 ASCE International Conference on Computing in Civil Engineering

Volumn , Issue , 2005, Pages 1085-1095

  Chang, K T ^a   Chang, J R ^a   Liu, J K ^b  

^a MINGHSIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE   (Taiwan)

Author keywords

Lidar; Pavement; Potholes; Segmentation

Indexed keywords

LASER BEAMS; LASER PULSES; MATHEMATICAL MODELS; OPTICAL RADAR; SCANNING;

DIGITAL MODELS; PAVEMENT DISTRESSES; POTHOLES; SEGMENTATION;

PAVEMENTS;

EID: 27144535952     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Ackermann, F. (1999). "Airborne Laser Scanning - Present Status and Future Expectations", ISPRS Jopurnal of Photogrammetry and Remote Sensing, 54:64-67.
2. Acosta, F. (1992). "Low-Cost Video Image Processing System for Evaluating Pavement Surface Distress", Transportation Research Record 1348 : 63-72.
3. Eastman, J. R. (2001), Idrisi 32 Release 2 Reference Guide, Clark lab, Clark University.
4. Haralick, R. M., Shanmugam, K., and Dinstein, I. (1973). "Textural features for image classification", IEEE Trans. Syst., Man, Cybern., SMC-3, pp. 610-621.
5. Haala, N. and Brenner, C. (1999). "Extraction of Building and Trees in urban Environments", ISPRS Jopurnal of Photogrammetry and Remote Sensing, 54:130-137.
6. Huffman, R. L. and Jain, A. K. (1987). "Segmentation and Classification of Range Images", IEEE Trans. on Pattern Analysis and Machine Intelligence, 9:608-620.
7. Hudson, S. W., Hudson, W. R. and Carmichael, R. F. (1992). Minimum requirements for standard pavement management systems, Pavement Management Implementation, STP 1121, ASTM, 19-31, Philadelphia.
8. Jain, A. K. and Dubes, R. C. (1988). Algorithms for Clustering Data, Prentice Hall, Inc.
9. Jain, R., Kasturi, R., and Schunck, B. G. (1995). Machine Vision. Me Graw-Hill International Editions, pp. 234-239.
10. Lee, B. J. and Lee, H. D. (2004). "Position-Invariant Neural Network for Digital Pavement Crack Analysis", Computer-Aided Civil and Infrastructure Engineering, 19:105-118.
11. Maas, H. G. and Vosselman, G. (1999). "Two Algorithms for Extracting Building Models from Raw Laser Altimetry Data", ISPRS Jopurnal of Photogrammetry and Remote Sensing, 54:153-163.
12. Mei, X., Gunaratne, M., Lu, J. J., and Dietrich, B. (2004). "Neural Network for Rapid Depth Evaluation of Shallow Cracks in Asphalt Pavements", Computer-Aided Civil and Infrastructure Engineering, 19:223-230.
13. MENSi Inc. (2003), PointScape Version 1.2 User Manual.
14. MENSi Inc. (2003), RealWorks Survey 3.1 User Manual.
15. Riegle, Inc. (2004), URL:http://www.riegl.co.at/
16. Woo H., Kang E., Wang S., and Lee K. H. (2002). "A New Segmentation method for Point Cloud Data", International Journal of Machine & Manufacture", 42:167-178.