Abstract
In this paper, fast techniques are proposed to achieve real time and robust monocular visual odometry. We apply an iterative 5-point method to estimate instantaneous camera motion parameters in the context of a RANSAC algorithm to cope with outliers efficiently. In our method, landmarks are localized in space using a probabilistic triangulation method utilized to enhance the estimation of the last camera pose. The enhancement is performed by multiple observations of landmarks and minimization of a cost function consisting of epipolar geometry constraints for far landmarks and projective constraints for close landmarks. The performance of the proposed method is demonstrated through application to the challenging KITTI visual odometry dataset.
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References
Kitti visual odometry data set. http://www.cvlibs.net/datasets/kitti/eval_odometry.php
Bradski, G.: OpenCv library. Dr. Dobb’s J. Softw. Tools 25(11), 120–126 (2000)
Civera, J., Davison, A., Montiel, J.: Inverse depth parametrization for monocular SLAM. IEEE Trans. Robot. 24(5), 932–945 (2008)
Fischler, M., Bolles, R.: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM 24(6), 381–395 (1981)
Geiger, A., Ziegler, J., Stiller, C.: StereoScan: Dense 3d reconstruction in real-time. In: Proceeding of Intelligent Vehicles Symposium (2011)
Hartley, R.: In defense of the eight-point algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 19(6), 580–593 (1997)
Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision, 2nd edn. Cambridge University Press, Cambridge (2004). (ISBN: 0521540518)
Hedborg, B., Felsberg, M.: Fast iterative five point relative pose estimation. In: Proceeding of IEEE Workshopp on Robot Vision, pp. 60–67 (2013)
Kwok, N.M., Dissanayake, G., Ha, Q.: Bearing-only slam using a SPRT based Gaussian sum filter. In: Proceedings of IEEE International Conference on Robotics and Automation, pp. 1109–1114 (2006)
Lucas, B., Kanade, T.: An iterative image registration technique with an application to stereo vision. In: Proceedings of International Joint Conference on Artificial Intelligence, pp. 674–679 (1981)
Mirabdollah, M.H., Mertsching, B.: On the second order statistics of essential matrix elements. In: Jiang, X., Hornegger, J., Koch, R. (eds.) GCPR 2014. LNCS, vol. 8753, pp. 547–557. Springer, Heidelberg (2014)
Mur-Artal, R., Tardos, J.: ORB-SLAM: tracking and mapping recognizable features. In: Proceeding of Robotics: Science and Systems (RSS) Workshop on Multi View Geometry in Robotics (2014)
Nistér, D.: An Efficient solution to the five-point relative pose problem. IEEE Trans. Pattern Anal. Mach. Intell. 26(6), 756–777 (2004)
Shi, J., Tomasi, C.: Good features to track. Technical report (1993)
Solà, J., Vidal-Calleja, T., Civera, J., Montiel, L.M.: Impact of landmark parametrization on monocular EKF-SLAM with points and lines. Int. J. Comput. Vis. 97(3), 339–368 (2012)
Sola, J., Monin, A., Devy, M., Lemaire, T.: Undelayed initialization in bearing-only SLAM. In: Proceedings IEEE International Conference on Intelligent Robots and Systems, pp. 2499–2504 (2005)
Song, S., Chandraker, M.: Robust scale estimation in real-time monocular SFM for autonomous driving. In: Proceeding of Computer Vision and Pattern Recognition (2014)
Song, S., Chandraker, M., Guest, C.: Parallel, real-time monocular visual odometry. In: Proceeding of IEEE International Conference on Robotics and Automation, pp. 4698–4705 (2013)
Strasdat, H., Montiel, J.M.M., Davison, A.: Scale drift-aware large scale monocular SLAM. In: Proceedings of Robotics: Science and Systems (2010)
Zhao, L., Huang, S., Yan, L., Dissanayake, G.: Parallax angle parametrization for monocular SLAM. In: Proceeding of IEEE International Conference on Robotics and Automation, pp. 3117–3124 (2011)
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Mirabdollah, M.H., Mertsching, B. (2015). Fast Techniques for Monocular Visual Odometry. In: Gall, J., Gehler, P., Leibe, B. (eds) Pattern Recognition. DAGM 2015. Lecture Notes in Computer Science(), vol 9358. Springer, Cham. https://doi.org/10.1007/978-3-319-24947-6_24
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DOI: https://doi.org/10.1007/978-3-319-24947-6_24
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