The ability to recognize intersections enables an autonomous vehicle to navigate on road networks for performing complex missions. The paper gives the geometry model for intersections applied and their interaction with active viewing direction control. Quality measures indicate to performance monitoring processes the reliability of the estimation results. The perception module is integrated in the EMS-Vision system. Results from autonomous turn-off maneuvers, conducted on unmarked campus roads are discussed.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    EMS-vision: recognition of intersections on unmarked road networks


    Beteiligte:
    Lutzeler, M. (Autor:in) / Dickmanns, E.D. (Autor:in)


    Erscheinungsdatum :

    2000-01-01


    Format / Umfang :

    663423 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    EMS-Vision: Recognition of Intersections on Unmarked Road Networks

    Lutzeler, M. / Dickmanns, E. D. / IEEE | British Library Conference Proceedings | 2000


    Vision-Based Unmarked Road Detection with Semantic Segmentation using Mask R-CNN for Lane Departure Warning System

    Anak Undit, Harold Japok / Abu Hassan, Mohd Fadzil / Zin, Zalhan Mohd | IEEE | 2021



    VISIO-SPATIAL ROAD BOUNDARY DETECTION FOR UNMARKED URBAN AND RURAL ROADS

    Kuhnl, T. / Fritzsche, J. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2014


    Recognition of situation classes at road intersections

    Kaefer, Eugen / Hermes, Christoph / Woehler, Christian et al. | Tema Archiv | 2010