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    Mobile mapping for the automated analysis of road signage and delineation


    McLoughlin, S. and Deegan, C. and Mulvihill, C. and Fitzgerald, C. and Markham, Charles (2008) Mobile mapping for the automated analysis of road signage and delineation. IET Intelligent Transport Systems, 2 (1). pp. 61-73. ISSN 1751-956X

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    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.

    Item Type: Article
    Keywords: stereo image processing; automated highways; automatic optical inspection; feature extraction; Global Positioning System; mobile computing; road safety;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 8352
    Identification Number: https://doi.org/10.1049/iet-its:20060083
    Depositing User: Dr. Charles Markham
    Date Deposited: 20 Jun 2017 15:41
    Journal or Publication Title: IET Intelligent Transport Systems
    Publisher: IEEE
    Refereed: Yes
    Funders: Tramore House Regional Design Office (THRDO), National Roads Authority of Ireland (NRA), Council of Directors of the Institutes of Technology
    URI:

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