%0 Journal Article
%T A Featureless and Stochastic Approach to On-board Stereo Vision System Pose
%A Fadi Dornaika
%A Angel Sappa
%J Image and Vision Computing
%D 2009
%V 27
%N 9
%F Fadi Dornaika2009
%O ADAS
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1152), last updated on Tue, 04 Mar 2014 10:00:14 +0100
%X This paper presents a direct and stochastic technique for real-time estimation of on-board stereo head’s position and orientation. Unlike existing works which rely on feature extraction either in the image domain or in 3D space, our proposed approach directly estimates the unknown parameters from the stream of stereo pairs’ brightness. The pose parameters are tracked using the particle filtering framework which implicitly enforces the smoothness constraints on the estimated parameters. The proposed technique can be used with a driver assistance applications as well as with augmented reality applications. Extended experiments on urban environments with different road geometries are presented. Comparisons with a 3D data-based approach are presented. Moreover, we provide a performance study aiming at evaluating the accuracy of the proposed approach.
%K On-board stereo vision system
%K Pose estimation
%K Featureless approach
%K Particle filtering
%K Image warping
%U http://dblp.uni-trier.de/db/journals/ivc/ivc27.html#DornaikaS09
%U http://dx.doi.org/10.1016/j.imavis.2008.12.006
%P 1382–1393