Parking is a challenging task for many drivers. A vision based parking assistant system for autonomous parking which detects parking lots and precisely determines their pose using a stereo camera system is described. Careful calibration of the cameras and the fitting of vehicle models to the stereo data in 3D space enable a high precision estimation of the parameters which are necessary for autonomous parking.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Stereo vision based pose estimation of parking lots using 3D vehicle models


    Contributors:
    Kaempchen, N. (author) / Franke, U. (author) / Ott, R. (author)

    Published in:

    Publication date :

    2002-01-01


    Size :

    427847 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Stereo Vision Based Pose Estimation of Parking Lots Using 3D Vehicle Models

    Kaempchen, N. / Franke, U. / Ott, R. et al. | British Library Conference Proceedings | 2003


    STEREO VISION-BASED DRIVER HEAD POSE ESTIMATION

    Hoffken, M. / Tarayan, E. / Kressel, U. et al. | British Library Conference Proceedings | 2014


    TOWARDS STEREO VISION- AND LASER SCANNER-BASED UAS POSE ESTIMATION

    Kersten, Jens / Rodehorst, Volker | BASE | 2015

    Free access


    TOWARDS STEREO VISION- AND LASER SCANNER-BASED UAS POSE ESTIMATION

    Kersten, Jens / Rodehorst, Volker | BASE | 2015

    Free access