A. Elfes, Using occupancy grids for mobile robot perception and navigation, Computer, vol.22, issue.6, 1989.
DOI : 10.1109/2.30720
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.218.8152

C. Coue, C. Pradalier, C. Laugier, T. Fraichard, and P. Bessiere, Bayesian occupancy filtering for multi-target tracking: an automotive application, Int. Journal on Robotics Research, vol.25, 2006.

M. Tay, K. Mekhnacha, C. Chen, M. Yguel, and C. Laugier, An efficient formulation of the Bayesian occupation filter for target tracking in dynamic environments, International Journal of Vehicle Autonomous Systems, vol.6, issue.1/2, 2008.
DOI : 10.1504/IJVAS.2008.016483
URL : https://hal.archives-ouvertes.fr/inria-00182089

T. Gindele, S. Brechtel, J. Schrder, and R. Dillmann, Bayesian Occupancy grid Filter for dynamic environments using prior map knowledge, 2009 IEEE Intelligent Vehicles Symposium, 2009.
DOI : 10.1109/IVS.2009.5164357

R. Danescu, F. Oniga, and S. Nedevschi, Modeling and Tracking the Driving Environment With a Particle-Based Occupancy Grid, IEEE Transactions on Intelligent Transportation Systems, vol.12, issue.4, pp.1331-1342, 2011.
DOI : 10.1109/TITS.2011.2158097

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

C. Caraffi, S. Cattani, and P. Grisleri, Off-Road Path and Obstacle Detection Using Decision Networks and Stereo Vision, IEEE Transactions on Intelligent Transportation Systems, vol.8, issue.4, pp.607-618, 2007.
DOI : 10.1109/TITS.2007.908583

S. Nedevschi, R. Danescu, D. Frentiu, T. Marita, F. Oniga et al., High accuracy stereovision approach for obstacle detection on non planar roads, IEEE Int. Conf. on Intelligent Engineering Systems, 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

K. Huh, J. Park, J. Hwang, and D. Hong, A stereo vision-based obstacle detection system in vehicles, Optics and Lasers in Engineering, vol.46, issue.2, pp.46-48, 2008.
DOI : 10.1016/j.optlaseng.2007.08.002

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, IEEE Int. Conf. on Robotics and Automation, workshop, 2009.

C. Braillon, C. Pradalier, K. Usher, J. Crowley, and C. Laugier, Occupancy Grids from Stereo and Optical Flow Data, Int. Symp. on Experimental Robotics, 2006.
DOI : 10.1007/978-3-540-77457-0_34
URL : https://hal.archives-ouvertes.fr/inria-00182020

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

D. Murray and J. Little, Using real-time stereo vision for mobile robot navigation, Autonomous Robots, vol.8, 2000.

H. Badino, U. Franke, and R. Mester, Free space computation using stochastic occupancy grids and dynamic programming, IEEE Int. Conf. on Computer vision, Workshop on Dynamical Vision, 2007.

D. Pfeiffer and U. Franke, Modeling Dynamic 3D Environments by Means of The Stixel World, IEEE Intelligent Transportation Systems Magazine, vol.3, issue.3, pp.24-36, 2011.
DOI : 10.1109/MITS.2011.942207

M. Perrollaz, A. Spalanzani, and D. Aubert, A probabilistic representation of the uncertainty of stereo-vision and its application to obstacle detection, IEEE Intelligent Vehicles Symp, 2010.

Z. Hu, F. Lamosa, and K. Uchimura, A complete u-v-disparity study for stereovision based 3d driving environment analysis, IEEE 3DIM, 2005.

R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision (second edition), 2003.

P. Burt, L. Wixson, and G. Salgian, Electronically directed "focal" stereo, Proceedings of IEEE International Conference on Computer Vision, 1995.
DOI : 10.1109/ICCV.1995.466801

M. Bertozzi, A. Broggi, A. Fascioli, and R. Fascioli, Stereo inverse perspective mapping: theory and applications, Image and Vision Computing, vol.16, issue.8, 1998.
DOI : 10.1016/S0262-8856(97)00093-0

J. Yoder, M. Perrollaz, I. Paromtchik, Y. Mao, and C. Laugier, Experiments in sensor fusion using the bayesian occupancy filter, Int. Symp. on Experimental Robotics, 2010.

C. Laugier, I. Paromtchik, M. Perrollaz, Y. Mao, J. Yoder et al., Probabilistic Analysis of Dynamic Scenes and Collision Risks Assessment to Improve Driving Safety, IEEE Intelligent Transportation Systems Magazine, vol.3, issue.4, 2011.
DOI : 10.1109/MITS.2011.942779

N. Amaury, R. Egre, and . Engineer, He graduated from the National Polytechnic Institute of Grenoble (INPG), France in 2005, with a major in image processing. Then he received his PhD degree in vision and robotics from INPG in 2009 for his work on vision based obstacle detection for mobile robots, Now he is with the Grenoble Informatics Laboratory (LIG) and offers engineering support in experimental robotics and ambient intel- ligence, 2008.