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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    Titel :

    A general framework for road marking detection and analysis


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


    Erscheinungsdatum :

    2013-10-01


    Format / Umfang :

    1968743 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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