The paper outlines a simple strategy for recognition of prototypical cases of urban roads from their outline forms alone. Two new form indicators, namely exits and occupancy, are used together with average width to label regions as roads. They proved to be much more discriminating than the widely used shape metric. Even in its present simplistic form, the proposed strategy for recognition proved to be useful for identifying prototypical cases. The recognition strategy provides an additional means for validating topographic data by cross-checking results previously obtained through the normal process of road extraction. Unlike recognition, extraction relies on manually provided semantic information. Some of the regions which were labelled as roads by the extraction process were flagged as untypical by the recognition process. The flagged regions were mainly those where roads had become fused with neighbouring regions because the linework necessary to separate them, called logical links, had not been manually digitized. Where roads form a relatively small part of these combined regions, the recognition process focuses attention on these by classifying them as untypical.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A cognitive approach to road recognition with novel feature indicators


    Additional title:

    Ein kognitiver Ansatz für die Straßenerkennung mit neuartigen Merkmalsindikatoren


    Contributors:
    Visvalingam, M. (author) / Varley, D. (author) / Wright, C. (author)

    Published in:

    Computer Journal, London ; 39 , 9 ; 751-756


    Publication date :

    1996


    Size :

    6 Seiten, 18 Quellen



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    Automatic real-time road marking recognition using a feature driven approach

    Kheyrollahi, Alireza / Breckon, Toby P. | Tema Archive | 2012


    Automatic real-time road marking recognition using a feature driven approach

    Kheyrollahi, A. / Breckon, T. P. | British Library Online Contents | 2012


    Vehicle Color Recognition on Urban Road by Feature Context

    Chen, Pan / Bai, Xiang / Liu, Wenyu | IEEE | 2014



    Sensitivity of road unevenness indicators to road waviness

    Mucka, Peter / Kropac, Oldrich | Tema Archive | 2009