Pavement distress detection and analysis is an important component of pavement management systems. Conventional visual and manual pavement distress analysis techniques are very costly, time-consuming, dangerous, labor-intensive, tedious, and subjective, have a high degree of variability, are unable to provide meaningful quantitative information, and almost always leading to inconsistencies in distress detail over space and across evaluations. In this project, a novel system for multipurpose automated real-time pavement distress analysis based on CVPRIP (Computer Vision, Pattern Recognition and Image Processing) technologies is presented.


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    Titel :

    Automated Real-Time Pavement Crack Deflection/Classification System


    Beteiligte:
    H. D. Cheng (Autor:in) / C. Glaszier (Autor:in)

    Erscheinungsdatum :

    2002


    Format / Umfang :

    28 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch






    Automated Real-Time Pavement Distress Analysis

    Cheng, H. D. / Jiang, X. / Li, J. et al. | Transportation Research Record | 1999


    Automated Real-Time Pavement Distress Analysis

    Cheng, H.D. | Online Contents | 1999