Driver assistance functions on marked innercity intersections require a reliable detection of intersection lanes. Due to the high complexity of intersection scenarios and the large amount of clutter that is usually encountered in urban areas, existing highway lane detectors are not applicable for this task. In order to detect the lanes on marked innercity intersections, we adopt a two step process of first detecting individual lane marking segments and then aggregating these segments to appropriate lanes. We assume that a lane detector for innercity scenarios should be capable of handling lanes with arbitrary orientation and curvature and thus may not rely on simple geometric models. In order to achieve this, in the paper we first derive a set of features from the lane marking segment data. These features are fed into a support vector machine. The support vector machine determines whether the lane marking segments belong to the same lane or not.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Aggregating lane markings into lanes for intersection assistance


    Beteiligte:


    Erscheinungsdatum :

    2007-06-01


    Format / Umfang :

    1099212 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Aggregating Lane Markings into Lanes for Intersection Assistance

    Duchow, C. / Kortner, B.o. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2007


    Ascertaining a number of traffic lanes and lane markings on road segments

    WETTE PHILIP | Europäisches Patentamt | 2023

    Freier Zugriff

    ASCERTAINING A NUMBER OF TRAFFIC LANES AND LANE MARKINGS ON ROAD SEGMENTS

    WETTE PHILIP | Europäisches Patentamt | 2020

    Freier Zugriff


    Ridgeness for detecting lane markings

    Lopez, A. / Serrat, J. / Saludes, J. et al. | Tema Archiv | 2005