A. Vahidi and A. Eskandarian, Research advances in intelligent collision avoidance and adaptive cruise control, IEEE Transactions on Intelligent Transportation Systems, vol.4, issue.3, pp.143-153, 2003.
DOI : 10.1109/TITS.2003.821292

J. Hillenbrand, A. M. Spieker, and K. Kroschel, A Multilevel Collision Mitigation Approach—Its Situation Assessment, Decision Making, and Performance Tradeoffs, IEEE Transactions on Intelligent Transportation Systems, vol.7, issue.4, pp.528-540, 2006.
DOI : 10.1109/TITS.2006.883115

R. Labayrade, C. Royere, and D. Aubert, A collision mitigation system using laser scanner and stereovision fusion and its assessment, IEEE Proceedings. Intelligent Vehicles Symposium, 2005., pp.441-446, 2005.
DOI : 10.1109/IVS.2005.1505143

S. Wu, S. Decker, P. Chang, T. Camus, and J. Eledath, Collision Sensing by Stereo Vision and Radar Sensor Fusion, Proc. IEEE Intell. Veh. Symp, pp.404-409, 2008.

M. Skutek, D. T. Linzmeir, N. Appenrodt, and G. Wanielik, A precrash system based on sensor data fusion of laser scanner and short range radars, 2005 7th International Conference on Information Fusion, pp.1287-1295, 2005.
DOI : 10.1109/ICIF.2005.1592005

D. Streller and K. Dietmayer, Object tracking and classification using a multiple hypothesis approach, IEEE Intelligent Vehicles Symposium, 2004, pp.808-812, 2004.
DOI : 10.1109/IVS.2004.1336488

R. E. Kalman, A New Approach to Linear Filtering and Prediction Problems, Transactions of the ASME-Journal of Basic Engineering, pp.35-45, 1960.
DOI : 10.1115/1.3662552

A. Elfes, Occupancy grids: a probabilistic framework for robot perception and navigation, 1989.

S. S. Blackman, Multiple hypothesis tracking for multiple target tracking, IEEE Aerospace and Electronic Systems Magazine, vol.19, issue.1, pp.5-18, 2004.
DOI : 10.1109/MAES.2004.1263228

J. Burlet, O. Aycard, A. Spalanzani, and C. Laugier, Adaptive Interactive Multiple Models applied on pedestrian tracking in car parks, Proc. IEEE Int. Conf. on Intelligent Robots and Systems, pp.525-530, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00182002

S. Rusinkiewicz and M. Levoy, Efficient variants of the ICP algorithm, Proceedings Third International Conference on 3-D Digital Imaging and Modeling, 2001.
DOI : 10.1109/IM.2001.924423

T. D. Vu, O. Aycard, and N. Appenrodt, Online localization and mapping with moving object tracking, Proc. IEEE Intelligent Vehicles Symposium, pp.190-195, 2007.
URL : https://hal.archives-ouvertes.fr/inria-00167687

S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking, IEEE Transactions on Signal Processing, vol.50, issue.2
DOI : 10.1109/78.978374

E. Mazor, A. Averbuch, Y. Bar-shalom, and J. Dayan, Interacting multiple model methods in target tracking: a survey, IEEE Transactions on Aerospace and Electronic Systems, vol.34, issue.1, p.103123, 1998.
DOI : 10.1109/7.640267

G. Shafer, A mathematical theory of evidence, 1976.

A. Dempster, A Generalization of Bayesian Inference, Journal of the Royal Statistical Society, vol.30, pp.205-247, 1968.
DOI : 10.1007/978-3-540-44792-4_4