Classification of road sign type using mobile stereo vision

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5823, Issue , 2005, Pages 133-142

  McLoughlin, Simon ^a   Deegan, Catherine ^b   Fitzgerald, Conor ^c   Markham, Charles ^a  

^a NATIONAL UNIVERSITY OF IRELAND   (Ireland)

^b DUBLIN INSTITUTE OF TECHNOLOGY   (Ireland)

^c Tramore House   (Ireland)

Author keywords

Photometry; Road Delineation; Road Signage; Stereo vision; Surface Reflectivity

Indexed keywords

CLASSIFICATION (OF INFORMATION); GLOBAL POSITIONING SYSTEM; LIGHT REFLECTION; LIGHTING; MATHEMATICAL MODELS; PHOTOMETRY; ROADS AND STREETS; STEREO VISION;

PHOTOMETRIC MEASUREMENTS; ROAD DELINEATION; ROAD SIGNAGE; SURFACE REFLECTIVITY;

TRAFFIC SIGNS;

EID: 27644468753     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.604824     Document Type: Conference Paper

References (9)

1. G. Loy, N. Barnes, "Fast Shape-based Road Sign Detection for a Driver Assistance System", IEEE/RSJ International Conference on Intelligent Robots and Systems, 2004.
2. A. Habib, R. Uebbing, K. Novak, "Automatic Extraction of Road Signs from Color Terrestrial Imagery." Journal of Photogrammetric Engineering and Remote Sensing, Vol. 65, May 1999, pp. 597-601.
3. D. M. Gavrila and V. Philomin, "Real-time Object Detection for Smart Vehicles", Proc. of IEEE International Conference on Computer Vision, pp. 87-93, Kerkyra, Greece, 1999.
4. G. Piccioli, E. D. Micheli, P. Parodi, and M. Campani, "Robust method for road sign detection and recognition," Image and Vision Computing, vol. 14, no. 3, pp. 209-223, 1996.
5. C. Y. Fang, C. S. Fuh, S. W. Chen, and P. S. Yen, "A road sign recognition system based on a dynamic visual model," Proc. IEEE Conf. on Computer Vision and Pattern Recognition, vol. 1, 2003, pp. 750-755.
6. 3M Scotchlite™ Diamond Grade™ Flourescent VIP Reflective Sheeting, Product Bulletin 3980. November 2002.
7. PL-A741 MV Camera System Guide, Pixelink © 2004
8. R. Jain, R. Kasturi, B. G. Schunck. Machine Vision, McGraw-Hill 1995.
9. "Open Source Computer Vision Library Reference Manual". Copyright ©1999-2001 Intel Corporation.