The intersection scenario imposes radical changes in the physical setup and in the processing algorithms of a stereo sensor. Due to the need for a wider field of view, which comes with distortions and reduced depth accuracy, increased accuracy in calibration and dense stereo reconstruction is required. The stereo matching process has to be performed on rectified images, by a dedicated stereo board, to free processor time for the high-level algorithms. In order to cope with the complex nature of the intersection, the proposed solution perceives the environment in two modes: a structured approach, for the scenarios where the road geometry is estimated from lane delimiters, and an unstructured approach, where the road geometry is estimated from elevation maps. The structured mode provides the parameters of the lane, and the position, size, speed and class of the static and dynamic objects, while the unstructured mode provides an occupancy grid having the cells labeled as free space, obstacle areas, curbs and isles.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Stereovision-based sensor for intersection assistance


    Weitere Titelangaben:

    Einsatz eines Stereobild-Sensor für die Abstands-Fahrerassistenz


    Beteiligte:
    Nedevschi, S. (Autor:in) / Danescu, R. (Autor:in) / Marita, T. (Autor:in) / Oniga, F. (Autor:in) / Pocol, C. (Autor:in) / Bota, S. (Autor:in) / Meinecke, M.M. (Autor:in) / Obojski, M.A. (Autor:in)


    Erscheinungsdatum :

    2009


    Format / Umfang :

    35 Seiten, 26 Bilder, 3 Tabellen, 38 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Stereovision-Based Sensor for Intersection Assistance

    Nedevschi, S. / Danescu, R. / Marita, T. et al. | British Library Conference Proceedings | 2009


    A Sensor for Urban Driving Assistance Systems Based on Dense Stereovision

    Nedevschi, Sergiu / Danescu, Radu / Marita, Tiberiu et al. | IEEE | 2007


    A Sensor for Urban Driving Assistance Systems Based on Dense Stereovision

    Nedevschi, S. / Danescu, R. / Marita, T. et al. | British Library Conference Proceedings | 2007


    Stereovision-based 3D obstacle detection for automotive safety driving assistance

    Ventroux, Nicolas / Schmit, Renaud / Pasquet, Frederic et al. | IEEE | 2009


    Intersection Assistance

    Mages, Mark / Klanner, Felix / Stoff, Alexander | Springer Verlag | 2015