This paper describes how visual features can be incorporated into the well known tentacles approach which up to now has only used LIDAR and GPS data and was therefore limited to scenarios with significant obstacles or non-flat surfaces along roads. In addition we present a visual feature considering only colour intensity which can be used to visually rate tentacles. The presented sensor fusion and colour based feature were both applied with great success at the C-ELROB 2009 robotic competition.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Fusing LIDAR and vision for autonomous dirt road following. Incorporating a visual feature into the tentacles approach


    Weitere Titelangaben:

    Zusammenführung von LIDAR- und Bilddaten zur Fahrspurerkennung bei verschmutzten Fahrspuren. Einfügen einer Bildeigenschaften in den Erkennungsalgorithmus


    Beteiligte:


    Erscheinungsdatum :

    2009


    Format / Umfang :

    8 Seiten, 4 Bilder, 8 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch





    Evidential-Based Approach for Trajectory Planning With Tentacles, for Autonomous Vehicles

    Mouhagir, Hafida / Talj, Reine / Cherfaoui, Veronique et al. | IEEE | 2020


    Autonomous Road Following: A Vision-Based Approach for AVCS

    Juberts, M. / Raviv, D. / Bishop, J. R. | British Library Conference Proceedings | 1993



    Spanish high speed tentacles spread

    Bent, Mike | IuD Bahn | 2008