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

S. Blackman and R. Popoli, Design and Analysis of Modern Tracking Systems, 1999.

N. Dalal and B. Triggs, Histograms of Oriented Gradients for Human Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.886-893, 2005.
DOI : 10.1109/CVPR.2005.177
URL : https://hal.archives-ouvertes.fr/inria-00548512

T. Einsele and G. Farber, Real-time self-localization in unknown indoor environment using a panorama laser range finder, Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97, pp.697-703, 1997.
DOI : 10.1109/IROS.1997.655087

A. Ess, B. Leibe, K. Schindler, and L. Van-gool, A mobile vision system for robust multi-person tracking, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008.
DOI : 10.1109/CVPR.2008.4587581

J. Friedman, T. Hastie, and R. Tibshirani, Additive logistic regression: a statistical view of boosting, Annals of Statistics, vol.28, 1998.

R. O. , C. Garcia, T. Vu, O. Aycard, and F. Tango, Fusion framework for moving-object classification, FUSION, pp.1159-1166, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00881147

A. Petrovskaya and S. Thrun, Model Based Vehicle Tracking for Autonomous Driving in Urban Environments, Robotics: Science and Systems IV, 2008.
DOI : 10.15607/RSS.2008.IV.023

D. Schulz, W. Burgard, D. Fox, and A. B. Cremers, Tracking multiple moving targets with a mobile robot using particle filters and statistical data association, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164), 2001.
DOI : 10.1109/ROBOT.2001.932850

G. Shafer, A Mathematical Theory of Evidence, 1976.

P. Viola and M. Jones, Robust real-time object detection, International Journal of Computer Vision, 2001.

D. Trung, O. Vu, and . Aycard, Lased-based detection and tracking moving object using data-driven markov chain monte carlo, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2009.

T. Vu, O. Aycard, and N. Appenrodt, Online Localization and Mapping with Moving Object Tracking in Dynamic Outdoor Environments, 2007 IEEE Intelligent Vehicles Symposium, 2007.
DOI : 10.1109/IVS.2007.4290113
URL : https://hal.archives-ouvertes.fr/inria-00194152

C. Wang, C. Thorpe, S. Thrun, M. Hebert, and H. Durrant-whyte, Simultaneous Localization, Mapping and Moving Object Tracking, The International Journal of Robotics Research, vol.26, issue.9, pp.889-916, 2007.
DOI : 10.1177/0278364907081229
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.457.7969

R. R. Yager, On the dempster-shafer framework and new combination rules, Information Sciences, vol.41, issue.2, pp.93-137, 1987.
DOI : 10.1016/0020-0255(87)90007-7