This work is a contribution to understanding multi-object traffic scenes from video sequences. All data is provided by a camera system which is mounted on top of the autonomous driving platform AnnieWAY. The proposed probabilistic generative model reasons jointly about the 3D scene layout as well as the 3D location and orientation of objects in the scene. In particular, the scene topology, geometry as well as traffic activities are inferred from short video sequences


    Access

    Download


    Export, share and cite



    Title :

    Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms


    Contributors:


    Publication date :

    2013


    Size :

    1 Online-Ressource (V, 162 p.)



    Type of media :

    Book


    Type of material :

    Electronic Resource


    Language :

    English



    Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms

    Geiger, Andreas | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2013

    Free access



    Probabilistic spatial context models for scene content understanding

    Singhal, A. / Jiebo Luo, / Weiyu Zhu, | IEEE | 2003


    Probabilistic Spatial Context Models for Scene Content Understanding

    Singhal, A. / Luo, J. / Zhu, W. et al. | British Library Conference Proceedings | 2003