Stereo cameras are among the most promising sensors for automated driving. For their deployment, however, calibration should be automated and possible in-situ. We propose a restructuring of bundle adjustment into an incremental online calibration system. It allows us to estimate all observable camera parameters on the fly. Both simulations and experiments with real world cameras show its capability to calibrate stereo rigs in real time while driving. With this method, cameras can be employed with almost no calibration overhead. Only the non-observable parameter of scale has to be defined in advance.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Online stereo camera calibration from scratch


    Contributors:


    Publication date :

    2017-06-01


    Size :

    965726 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Online Stereo Camera Calibration from Scratch

    Rehder, Eike / Kinzig, Christian / Bender, Philipp et al. | British Library Conference Proceedings | 2017


    Analysis of a Kalman filter based online stereo camera calibration

    Woock,P. / Pagel,F. / Willersinn,D. et al. | Automotive engineering | 2009


    Online stereo calibration using FPGAs

    Pettersson, N. / Petersson, L. | IEEE | 2005


    Online stereo calibration using FPGAs

    Pettersson, N. / Petersson, L. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2005


    Stereo Camera Calibration For Autonomous Car Applications

    Rahmat, Muhammad Abdillah / Indrabayu / Achmad, Andani et al. | IEEE | 2022