Lane recognition is the basis for many driver assistance systems, including lane departure warning (LDW), the assignment of vehicles to specific lanes and fully autonomous driving. A major problem of common vision-based lane recognition systems is their susceptibility to weather. Especially when driving in adverse weather conditions such as rain or snow it is difficult to estimate the road course. The contrast between the white lane markings and the pavement is poor, sometimes the colors of the markings are negated. Furthermore the range of sight is reduced enormously causing a bad prediction of the lane parameters, particularly the curvature. We present a solution which relies not only on finding white markings. Correlating structures parallel to the road over time the horizontal optical flow is calculated. It is then integrated in the lane recognition system estimating the position of the vehicle within the lane and the curvature parameters of the road ahead. The system allows to assign obstacles detected by radar or vision reliably to specific lanes and to drive laterally controlled autonomously even under adverse weather conditions.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Vision-based lane recognition under adverse weather conditions using optical flow


    Beteiligte:
    Gern, A. (Autor:in) / Moebus, R. (Autor:in) / Franke, U. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.01.2002


    Format / Umfang :

    426976 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Vision-based Lane Recognition under Adverse Weather Conditions Using Optical Flow

    Gern, A. / Moebus, R. / Franke, U. et al. | British Library Conference Proceedings | 2003


    Saturation flow under Adverse Weather Conditions

    Asamer, Johannes / Van Zuylen, Henk J. | Transportation Research Record | 2011


    Saturation Flow Under Adverse Weather Conditions

    Asamer, Johannes | Online Contents | 2011