Road markings are paintings on road surface to provide traffic guidance information for vehicles and pedestrians. In this paper, we propose a general framework for road marking detection and analysis, which is able to support various types of markings. Marking contours of different types are extracted indiscriminately from a image processing procedure, and sent to respective modules for independent classification and analysis. Four common types of markings are studied as examples in this paper, including lanes, arrows, zebra-crossings, and words. Our proposed method is tested through experiments, and shows good performance.


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    Title :

    A general framework for road marking detection and analysis


    Contributors:
    Qin, B. (author) / Liu, W. (author) / Shen, X. (author) / Chong, Z. J. (author) / Bandyopadhyay, T. (author) / Ang, M. H. (author) / Frazzoli, E. (author) / Rus, D. (author)


    Publication date :

    2013-10-01


    Size :

    1968743 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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