The driving support is one of most important research area in intelligent transport system (ITS). Moreover, obstacle extraction system is one of most important system. In our previous report, we proposed an obstacle extraction method using stereovision system. In this system, traditional “V-Disparity” approach was extended to more flexible system by using Virtual Disparity Image. Hereby obstacles can be extracted even if the vehicle has large roll movement. However, our system has still problem when a road shape cannot be approximated as a flat plane. In this paper, we propose road shape recognition method using Dynamic Programming (DP) and our method is extended to a new method suitable for a non-flat road.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Obstacle detection using Virtual Disparity Image for non-flat road


    Beteiligte:
    Suganuma, N. (Autor:in) / Shimoyama, M. (Autor:in) / Fujiwara, N. (Autor:in)


    Erscheinungsdatum :

    01.06.2008


    Format / Umfang :

    1984843 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Obstacle Detection Using Virtual Disparity Image for Non-Flat Road

    Suganuma, N. / Shimoyama, M. / Fujiwara, N. | British Library Conference Proceedings | 2008


    An Obstacle Extraction Method Using Virtual Disparity Image

    Suganuma, N. / Fujiwara, N. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2007


    An Obstacle Extraction Method Using Virtual Disparity Image

    Suganuma, N. / Fujiwara, N. | IEEE | 2007


    Obstacle detection using U-disparity on quadratic road surfaces

    Ai, X. / Gao, Y. / Rarity, J.G. et al. | IEEE | 2013