A. Petrovskaya, M. Perrollaz, L. Oliveira, L. Spinello, R. Triebel et al., Awareness of Road Scene Participants for Autonomous Driving, Handbook of Intelligent Vehicles, A. Eskandarian, pp.1383-1432, 2012.
DOI : 10.1007/978-0-85729-085-4_54

URL : https://hal.archives-ouvertes.fr/hal-00683761

T. Fortmann, Y. Bar-shalom, and M. Scheffe, Multi-target tracking using joint probabilistic data association, 1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes, pp.807-812, 1980.
DOI : 10.1109/CDC.1980.271915

Z. Khan, T. Balch, and F. Dellaert, An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets, Computer Vision-ECCV 2004, pp.279-290, 2004.
DOI : 10.1007/978-3-540-24673-2_23

A. Elfes, Using occupancy grids for mobile robot perception and navigation, Computer, vol.22, issue.6, pp.46-57, 1989.
DOI : 10.1109/2.30720

H. Moravec, Sensor Fusion in Certainty Grids for Mobile Robots, AI magazine, vol.9, issue.2, p.61, 1988.
DOI : 10.1007/978-3-642-74567-6_19

D. Pfeiffer and U. Franke, Modeling dynamic 3d environments by means of the stixel world Intelligent Transportation Systems Magazine, pp.24-36, 2011.

C. Coué, C. Pradalier, C. Laugier, T. Fraichard, and P. Bessì-ere, 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

T. Gindele, S. Brechtel, J. Schroder, and R. Dillmann, Bayesian Occupancy grid Filter for dynamic environments using prior map knowledge, 2009 IEEE Intelligent Vehicles Symposium, pp.669-676, 2009.
DOI : 10.1109/IVS.2009.5164357

S. Brechtel, T. Gindele, and R. Dillmann, Recursive importance sampling for efficient grid-based occupancy filtering in dynamic environments, 2010 IEEE International Conference on Robotics and Automation, pp.3932-3938, 2010.
DOI : 10.1109/ROBOT.2010.5509931

R. Danescu, F. Oniga, and S. Nedevschi, Modeling and Tracking the Driving Environment With a Particle-Based Occupancy Grid, IEEE Transactions on Intelligent Transportation Systems, vol.12, issue.4, pp.1331-1342, 2011.
DOI : 10.1109/TITS.2011.2158097

M. E. Bouzouraa and U. Hofmann, Fusion of occupancy grid mapping and model based object tracking for driver assistance systems using laser and radar sensors, 2010 IEEE Intelligent Vehicles Symposium, 2010.
DOI : 10.1109/IVS.2010.5548106

A. N-`-egre, L. Rummelhard, and C. Laugier, Hybrid Sampling Bayesian Occupancy Filter Available: https, IEEE Intelligent Vehicles Symposium (IV), 2014.

C. Fulgenzi, A. Spalanzani, and C. Laugier, Dynamic Obstacle Avoidance in uncertain environment combining PVOs and Occupancy Grid, Proceedings 2007 IEEE International Conference on Robotics and Automation, 2007.
DOI : 10.1109/ROBOT.2007.363554

URL : https://hal.archives-ouvertes.fr/inria-00181443

L. Rummelhard, A. N-`-egre, M. Perrollaz, and C. Laugier, Probabilistic Grid-Based Collision Risk Prediction for Driving Application, International Synposium on Experimental Robotics, 2014.
DOI : 10.1007/978-3-319-23778-7_54

URL : https://hal.archives-ouvertes.fr/hal-01011808

J. Adarve, M. Perrollaz, A. Makris, and C. Laugier, Computing occupancy grids from multiple sensors using linear opinion pools, 2012 IEEE International Conference on Robotics and Automation, 2012.
DOI : 10.1109/ICRA.2012.6224976

URL : https://hal.archives-ouvertes.fr/hal-00671211