Title :
Mobile mapping for the automated analysis of road signage and delineation
Author :
McLoughlin, S. ; Deegan, C. ; Mulvihill, C. ; Fitzgerald, C. ; Markham, C.
Author_Institution :
Sch. of Inf. & Eng., Inst. of Technol. Blanchardstown, Dublin
fDate :
3/1/2008 12:00:00 AM
Abstract :
A portable mobile stereo vision system designed for the assessment of road signage and delineation (lines and road studs or ´cat eyes´) in low light conditions is presented. This novel system allows both geometric and photometric measurements to be made on objects in a scene. Using the system, it has been shown that retro-reflectors, and in particular road signs, can be identified by nature of their reflective properties. In addition, a novel imaging application has been investigated that facilitates the detection of defective road studs. Any objects examined can also be positioned on a national grid through the fusion of stereo vision with global positioning system technology. Automated feature extraction and analysis routines make the system fully autonomous.
Keywords :
Global Positioning System; automated highways; automatic optical inspection; feature extraction; mobile computing; road safety; stereo image processing; automated feature analysis routine; automated feature extraction routine; automated road delineation analysis; automated road signage analysis; defective road stud detection; geometric measurements; global positioning system technology; intelligent transportation systems; low light conditions; mobile mapping; photometric measurements; portable mobile stereo vision system; retro-reflectors;
Journal_Title :
Intelligent Transport Systems, IET
DOI :
10.1049/iet-its:20060083