Although recent statistics demonstrate a decrease in pedestrian fatalities, the absolute number of accident related deaths is sufficiently high to justify research in the area of vulnerable road user protection. Research has shown that situation awareness, which requires a significant amount of context information, is critical to timely intervention. Altered pedestrian behavior, due to traffic regulation, requires context information. For example, crosswalk presence and location knowledge can be of importance in pedestrian crossing scenarios. Therefore this paper discusses the implementation of a crosswalk detection algorithm, using Fourier transformation, augmented bipolarity, inverse perspective mapping template matching and edge orientation ratios for classification.


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    Title :

    Pedestrian crossing detecting as a part of an urban pedestrian safety system


    Contributors:


    Publication date :

    2010-06-01


    Size :

    2056844 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Pedestrian Crossing Detecting As a Part of an Urban Pedestrian Safety System, pp. 840-844

    Sichelschmidt, S. / Haselhoff, A. / Kummert, A. et al. | British Library Conference Proceedings | 2010


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