While monocular visual odometry has been widely investigated, one of its key issues restrains its broad appliance: the scale drift. To tackle it, we leverage scene inherent information about the ground plane to estimate the scale for usage on Advanced Driver Assistance Systems. The algorithm is conceived so that it is independent of the unscaled ego-motion estimation, augmenting its adaptability to other frameworks. A ground plane estimation using Structure From Motion techniques is complemented by a vanishing point estimation to render our algorithm robust in urban scenarios. The method is evaluated on the KITTI dataset, outperforming state of the art algorithms in areas where urban scenery is dominant.


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    Title :

    Robust scale estimation for monocular visual odometry using structure from motion and vanishing points


    Contributors:


    Publication date :

    2015-06-01


    Size :

    842636 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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