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

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, 2002.
DOI : 10.1109/78.978374

E. Mazor, A. Averbuch, Y. Bar-shalom, and J. Dayan, Interacting multiple model methods in target tracking: a survey Aerospace and Electronic Systems, IEEE Transactions on, vol.34, issue.1, pp.103-123, 1998.

X. , R. Li, and V. P. Jilkov, A survey of maneuvering target trackingpart v: Multiple-model methods, IEEE Transactions on Aerospace and Electronic Systems, 2003.

S. Blackman, Multiple Target Tracking with Radar Applications Artech House: Dedham, 1986.

M. Busch and S. Blackman, Evaluation of imm filtering for an air defence system application, Proceedings SPIE Signal Data Process. Small targets, pp.435-447, 1995.

S. Blackman and R. Popoli, Design and Analysis of Modern Tracking Systems, 2000.

W. D. Blair and G. A. Watson, IMM algorithm and aperiodic data, Proc. SPIE, pp.83-91, 1992.
DOI : 10.1117/12.138208

O. M. Miller and A. Perrella, <title>Multiple-model filters for boost-to-coast transition of theater ballistic missiles</title>, Signal and Data Processing of Small Targets 1998, pp.355-376, 1998.
DOI : 10.1117/12.324631

Y. Sawaragi, T. Katayama, and S. Fujishige, Sequential state estimation with interrupted observation, Information and Control, vol.21, issue.1, pp.56-71, 1972.
DOI : 10.1016/S0019-9958(72)90042-3
URL : http://doi.org/10.1016/s0019-9958(72)90042-3

J. K. Tugnait82, Adaptive estimation and identification for discrete systems with Markov jump parameters, IEEE Transactions on Automatic Control, vol.27, issue.5, pp.1054-1065, 1982.
DOI : 10.1109/TAC.1982.1103061

Z. Ghahramani and G. E. Hinton, Variational Learning for Switching State-Space Models, Neural Computation, vol.3, issue.4, pp.831-864, 2000.
DOI : 10.1162/neco.1997.9.2.227

V. P. Jilkov, X. R. Li, and D. S. Angelova, Estimation of Markovian Jump Systems with Unknown Transition Probabilities through Bayesian Sampling, NMA '02: Revised Papers from the 5th International Conference on Numerical Methods and Applications, pp.307-315, 2003.
DOI : 10.1007/3-540-36487-0_34

V. P. Jilkov and X. R. Li, Online bayesian estimation of transiton probabilities for markovian jump systems, IEEE transaction on signal processing, pp.1620-1630, 2004.

G. D. Forney, The viterbi algorithm, Proceedings of the IEEE, vol.61, issue.3, pp.268-278, 1973.
DOI : 10.1109/PROC.1973.9030

O. Aycard, A. Spalanzani, J. Burlet, T. Fraichard, C. Laugier et al., PUVAME - New French Approach for Vulnerable Road Users Safety, 2006 IEEE Intelligent Vehicles Symposium, 2006.
DOI : 10.1109/IVS.2006.1689596
URL : https://hal.archives-ouvertes.fr/inria-00182026