Vehicle perception : Localization , mapping with detection , classification and tracking of moving objects, 2009. ,
URL : https://hal.archives-ouvertes.fr/tel-00454238
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
Survey of Pedestrian Detection for Advanced Driver Assistance Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.7, pp.1239-58, 2010. ,
DOI : 10.1109/TPAMI.2009.122
Classification and tracking of dynamic objects with multiple sensors for autonomous driving in urban environments, 2008 IEEE Intelligent Vehicles Symposium, pp.1197-1202, 2008. ,
DOI : 10.1109/IVS.2008.4621259
Multisensor data fusion for detection and tracking of moving objects from a dynamic autonomous vehicle, 2012. ,
On-road vehicle detection using optical sensors: a review, Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749), pp.585-590, 2004. ,
DOI : 10.1109/ITSC.2004.1398966
High-Level Fusion of Depth and Intensity for Pedestrian Classification, DAGM-Symposium, pp.101-110, 2009. ,
DOI : 10.1007/s11263-006-0027-7
Tracking and classification of arbitrary objects with bottom-up/top-down detection, 2012 IEEE Intelligent Vehicles Symposium, pp.577-582, 2012. ,
DOI : 10.1109/IVS.2012.6232181
Detection, classification and tracking of moving objects in a 3D environment, 2012 IEEE Intelligent Vehicles Symposium, pp.802-807, 2012. ,
DOI : 10.1109/IVS.2012.6232303
URL : https://hal.archives-ouvertes.fr/hal-00741139
Kalman filter and joint tracking and classification based on belief functions in the TBM framework, Information Fusion, vol.8, issue.1, pp.16-27, 2007. ,
DOI : 10.1016/j.inffus.2005.06.004
Fusion between laser and stereo vision data for moving objects tracking in intersection like scenario, 2011 IEEE Intelligent Vehicles Symposium (IV), 2011. ,
DOI : 10.1109/IVS.2011.5940576
URL : https://hal.archives-ouvertes.fr/inria-00625511
The Transferable Belief Model for Belief Representation, Gabbay and Smets, pp.1-24, 1999. ,
DOI : 10.1007/978-1-4615-6245-0_12
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
Data fusion in the transferable belief model, Proceedings of the Third International Conference on Information Fusion, pp.21-33, 2000. ,
DOI : 10.1109/IFIC.2000.862713
Frontal object perception using radar and mono-vision, 2012 IEEE Intelligent Vehicles Symposium, pp.159-164, 2012. ,
DOI : 10.1109/IVS.2012.6232307
URL : https://hal.archives-ouvertes.fr/hal-00741151
Using occupancy grids for mobile robot perception and navigation, Computer, vol.22, issue.6, pp.46-57, 1989. ,
DOI : 10.1109/2.30720
Laser-based detection and tracking moving objects using data-driven markov chain monte carlo, ICRA, pp.3800-3806, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-01020868
Improved boosting algorithms using confidence-rated predictions, Proceedings of the eleventh annual conference on Computational learning theory , COLT' 98, 1999. ,
DOI : 10.1145/279943.279960
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.156.2440