K. Arras, N. Tomatis, and R. Siegwart, Multisensor on-the-fly localization:, Robotics and Autonomous Systems, vol.34, issue.2-3, pp.131-143, 2001.
DOI : 10.1016/S0921-8890(00)00117-2

C. Coué, T. Fraichard, P. Bessière, and E. Mazer, Multi-sensor data fusion using Bayesian programming: An automotive application, Intelligent Vehicle Symposium, 2002. IEEE, 2002.
DOI : 10.1109/IVS.2002.1187989

C. Coué, T. Fraichard, P. Bessière, and E. Mazer, Using Bayesian Programming for multi-sensor multi-target tracking in automotive applications, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422), 2003.
DOI : 10.1109/ROBOT.2003.1241904

C. Coué, C. Pradalier, C. Laugier, T. Fraichard, and P. Bessière, Bayesian Occupancy Filtering for Multitarget Tracking: An Automotive Application, The International Journal of Robotics Research, vol.99, issue.1, pp.19-30, 2006.
DOI : 10.1177/0278364906061158

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

A. H. Jazwinsky, Stochastic Processes and Filtering Theory, 1970.

L. Kaelbling, M. Littman, and A. Cassandra, Planning and acting in partially observable stochastic domains, Artificial Intelligence, vol.101, issue.1-2, 1998.
DOI : 10.1016/S0004-3702(98)00023-X

. Kalman, A New Approach to Linear Filtering and Prediction Problems, Journal of Basic Engineering, vol.82, issue.1, 1960.
DOI : 10.1115/1.3662552

K. Mekhnacha, E. Mazer, and P. Bessière, The design and implementation of a Bayesian CAD modeler for robotic applications, Advanced Robotics, vol.9, issue.4, pp.45-70, 2001.
DOI : 10.1163/156855301750095578

URL : https://hal.archives-ouvertes.fr/hal-00019182

H. Moravec, Sensor Fusion in Certainty Grids for Mobile Robots, AI Magazine, vol.9, issue.2, 1988.
DOI : 10.1007/978-3-642-74567-6_19

C. 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, 2007.
DOI : 10.1504/IJVAS.2008.016483

URL : https://hal.archives-ouvertes.fr/inria-00182089

S. Thrun, Learning metric-topological maps for indoor mobile robot navigation, Artificial Intelligence, vol.99, issue.1, 1998.
DOI : 10.1016/S0004-3702(97)00078-7

G. Welch and G. Bishop, An introduction to the Kalman filter