Experiments with the LOIS (Likelihood Of Image Shape) Lane detector have demonstrated that the use of a deformable template approach allows robust detection of lane boundaries in visual images. The same algorithm has been applied to detect pavement edges in millimeter wave radar images. In addition to ground vehicle applications involving lane sensing, the algorithm is applicable to airplane applications for tracking runways in either visual or radar data. Previous work on LOIS has focused on the problem of detecting lane edges in individual frames. This paper describes extensions to the LOIS algorithm which allow it to smoothly track lane edges through maneuvers such as lane changes.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Tracking lane and pavement edges using deformable templates


    Beteiligte:

    Kongress:

    Enhanced and Synthetic Vision 1998 ; 1998 ; Orlando,FL,USA


    Erschienen in:

    Erscheinungsdatum :

    1998-07-30





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Object Tracking using Deformable Templates

    Yu, Z. / Jain, A. K. / Dubuisson-Jolly, M.-P. et al. | British Library Conference Proceedings | 1998


    Motion Detection and Tracking using Deformable Templates

    Perez, P. / Gidas, B. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994


    Tracking Deformable Templates Using a Shortest Path Algorithm

    Dubuisson-Jolly, M.-P. / Gupta, A. | British Library Online Contents | 2001


    Vehicle Segmentation Using Deformable Templates

    Dubuisson, M.-P. / Lakshmanan, S. / Jain, A. K. et al. | British Library Conference Proceedings | 1995


    Motion in Deformable Templates

    Silsbee, P. L. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994