Mobile mapping for the automated analysis of road signage and delineation

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Mobile mapping for the automated analysis of road signage and delineation

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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.

Inspec keywords: stereo image processing; feature extraction; automatic optical inspection; automated highways; road safety; mobile computing; Global Positioning System

Other keywords: portable mobile stereo vision system; retro-reflectors; photometric measurements; low light conditions; mobile mapping; intelligent transportation systems; geometric measurements; automated feature extraction routine; automated feature analysis routine; defective road stud detection; automated road signage analysis; automated road delineation analysis; global positioning system technology

Subjects: Optical, image and video signal processing; Satellite communication systems; Mobile radio systems; Computer vision and image processing techniques; Radionavigation and direction finding; Traffic engineering computing; Distributed systems software

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