H. Li, A Brief Tutorial On Recursive Estimation With Examples From Intelligent Vehicle Applications (Part I): Basic Spirit And Utilities, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01011733

H. Li, F. Nashashibi, and G. Toulminet, Localization for intelligent vehicle by fusing mono-camera, low-cost GPS and map data, 13th International IEEE Conference on Intelligent Transportation Systems, pp.1657-1662, 2010.
DOI : 10.1109/ITSC.2010.5625240

URL : https://hal.archives-ouvertes.fr/hal-00646666

H. Li and F. Nashashibi, Cooperative multi-vehicle localization using split covariance intersection filter, 2012 IEEE Intelligent Vehicles Symposium, pp.33-44, 2013.
DOI : 10.1109/IVS.2012.6232155

URL : https://hal.archives-ouvertes.fr/hal-00763811

H. Li and F. Nashashibi, Multi-vehicle cooperative localization using indirect vehicle-to-vehicle relative pose estimation, 2012 IEEE International Conference on Vehicular Electronics and Safety (ICVES 2012), pp.267-272, 2012.
DOI : 10.1109/ICVES.2012.6294256

URL : https://hal.archives-ouvertes.fr/hal-00763825

H. Li and F. Nashashibi, Multi-vehicle cooperative perception and augmented reality for driver assistance: A possibility to ‘see’ through front vehicle, 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), pp.242-247, 2011.
DOI : 10.1109/ITSC.2011.6083061

H. Li, F. Nashashibi, and M. Yang, Split Covariance Intersection Filter: Theory and Its Application to Vehicle Localization, IEEE Transactions on Intelligent Transportation Systems, vol.14, issue.4, pp.1860-1871, 2013.
DOI : 10.1109/TITS.2013.2267800

R. E. Kalman, A New Approach to Linear Filtering and Prediction Problems, Journal of Basic Engineering, vol.82, issue.1, pp.35-45, 1960.
DOI : 10.1115/1.3662552

Y. Bar-shalom and X. R. Li, Multitarget-multisensor tracking: principles and techniques, 1995.

C. C. Wang, C. Thorpe, and S. Thrun, 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

M. Aeberhard, S. Schlichtharle, N. Kaempchen, and T. Bertram, Track-to-Track Fusion With Asynchronous Sensors Using Information Matrix Fusion for Surround Environment Perception, IEEE Transactions on Intelligent Transportation Systems, vol.13, issue.4, pp.1717-1726, 2012.
DOI : 10.1109/TITS.2012.2202229

M. S. Darms, P. E. Rybski, C. Baker, and C. Urmson, Obstacle Detection and Tracking for the Urban Challenge, IEEE Transactions on Intelligent Transportation Systems, vol.10, issue.3, pp.475-485, 2009.
DOI : 10.1109/TITS.2009.2018319

H. Li, F. Nashashibi, B. Lefaudeux, and E. Pollard, Track-to-track fusion using split covariance intersection filter-information matrix filter (SCIF-IMF) for vehicle surrounding environment perception, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), pp.1430-1435, 2013.
DOI : 10.1109/ITSC.2013.6728431

URL : https://hal.archives-ouvertes.fr/hal-00848058

H. A. Blom and Y. Bar-shalom, The interacting multiple model algorithm for systems with Markovian switching coefficients, IEEE Transactions on Automatic Control, vol.33, issue.8, pp.780-783, 1988.
DOI : 10.1109/9.1299

K. Jo, K. Chu, and M. Sunwoo, Interacting Multiple Model Filter-Based Sensor Fusion of GPS With In-Vehicle Sensors for Real-Time Vehicle Positioning, IEEE Transactions on Intelligent Transportation Systems, vol.13, issue.1, pp.329-343, 2012.
DOI : 10.1109/TITS.2011.2171033

T. N. Nguyen, B. Michaelis, A. Al-hamadi, M. Tornow, and M. Meinecke, Stereo-Camera-Based Urban Environment Perception Using Occupancy Grid and Object Tracking, IEEE Transactions on Intelligent Transportation Systems, vol.13, issue.1, pp.154-165, 2012.
DOI : 10.1109/TITS.2011.2165705

T. D. Vu, Vehicle perception: Localization, mapping with detection, classification and tracking of moving objects, 2009.
URL : https://hal.archives-ouvertes.fr/tel-00454238