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Proceedings Paper

Classification of road sign type using mobile stereo vision
Author(s): Simon D. McLoughlin; Catherine Deegan; Conor Fitzgerald; Charles Markham
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Paper Abstract

This paper presents a portable mobile stereo vision system designed for the assessment of road signage and delineation (lines and reflective pavement markers or "cat's eyes"). This novel system allows both geometric and photometric measurements to be made on objects in a scene. Global Positioning System technology provides important location data for any measurements made. Using the system it has been shown that road signs can be classfied by nature of their reflectivity. This is achieved by examining the changes in the reflected light intensity with changes in range (facilitated by stereo vision). Signs assessed include those made from retro-reflective materials, those made from diffuse reflective materials and those made from diffuse reflective matrials with local illumination. Field-testing results demonstrate the systems ability to classify objects in the scene based on their reflective properties. The paper includes a discussion of a physical model that supports the experimental data.

Paper Details

Date Published: 1 June 2005
PDF: 10 pages
Proc. SPIE 5823, Opto-Ireland 2005: Imaging and Vision, (1 June 2005); doi: 10.1117/12.604824
Show Author Affiliations
Simon D. McLoughlin, National Univ. of Ireland/Maynooth (Ireland)
Catherine Deegan, Institute of Technology Blanchardstown (Ireland)
Conor Fitzgerald, Tramore House Regional Design Office (Ireland)
Charles Markham, National Univ. of Ireland/Maynooth (Ireland)


Published in SPIE Proceedings Vol. 5823:
Opto-Ireland 2005: Imaging and Vision
Fionn D. Murtagh, Editor(s)

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