R. Labayrade, D. Aubert, and J. Tarel, Real time obstacle detection in stereovision on non flat road geometry through "v-disparity" representation, Intelligent Vehicle Symposium, 2002. IEEE, 2002.
DOI : 10.1109/IVS.2002.1188024

S. Nedevschi, R. Danescu, D. Frentiu, T. Marita, F. Oniga et al., High accuracy stereovision approach for obstacle detection on non planar roads, IES, 2004.

U. Franke and A. Joos, Real-time stereo vision for urban traffic scene understanding, Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511), 2000.
DOI : 10.1109/IVS.2000.898354

V. Lemonde and M. Devy, Obstacle detection with stereovision, Mechatronics and robotics, 2004.

T. Veit, Connexity based fronto-parallel plane detection for stereovision obstacle segmentation, ICRA, 2009.

L. Matthies and A. Elfes, Integration of sonar and stereo range data using a grid-based representation, Proceedings. 1988 IEEE International Conference on Robotics and Automation, 1988.
DOI : 10.1109/ROBOT.1988.12145

C. Braillon, C. Pradalier, K. Usher, J. Crowley, and C. Laugier, Occupancy Grids from Stereo and Optical Flow Data, ISER, 2006.
DOI : 10.1007/978-3-540-77457-0_34

URL : https://hal.archives-ouvertes.fr/inria-00182020

D. Scharstein and R. Szeliski, A taxonomy and evaluation of dense two-frame stereo correspondence algorithms, Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001), 2002.
DOI : 10.1109/SMBV.2001.988771

A. Fusiello, V. Roberto, and E. Trucco, Efficient stereo with multiple windowing, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997.
DOI : 10.1109/CVPR.1997.609428

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

K. Yoon and I. Kweon, Locally adaptative support-weight approach for visual correspondence search, CVPR, 2005.

O. Veksler, Stereo correspondence with compact windows via minimum ratio cycle, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.12, 2002.
DOI : 10.1109/TPAMI.2002.1114859

S. Lefevbre, S. Ambellouis, and F. Cabestaing, Obstacle detection on a road by dense stereovision with 1d correlation windows and fuzzy filtering, ITSC, 2006.

T. Williamson, A high-performance stereo vision system for obstacle detection, 1998.

M. Perrollaz, R. Labayrade, R. Gallen, and D. Aubert, A three resolution framework for reliable road obstacle detection using stereovision, MVA Conf, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00671212

O. Veksler, Fast variable window for stereo correspondence using integral images, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003.
DOI : 10.1109/CVPR.2003.1211403

C. Coue, C. Pradalier, C. Laugier, T. Fraichard, and P. Bessiere, Bayesian occupancy filtering for multi-target tracking: an automotive application, 2006.

K. Mekhnacha, Y. Mao, D. Raulo, and C. Laugier, Bayesian occupancy filter based " Fast Clustering-Tracking " algorithm, IROS, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00336356