T. Gandhi and M. Trivedi, Pedestrian Protection Systems: Issues, Survey, and Challenges, IEEE Transactions on Intelligent Transportation Systems, vol.8, issue.3, pp.413-430, 2007.
DOI : 10.1109/TITS.2007.903444

B. Douillard, J. Underwood, N. Kuntz, V. Vlaskine, A. Quadros et al., On the segmentation of 3D LIDAR point clouds, 2011 IEEE International Conference on Robotics and Automation, pp.2798-2805, 2011.
DOI : 10.1109/ICRA.2011.5979818

G. Gate, A. Breheret, and F. Nashashibi, Centralized fusion for fast people detection in dense environment, 2009 IEEE International Conference on Robotics and Automation, pp.76-81, 2009.
DOI : 10.1109/ROBOT.2009.5152645

S. Reuter, Multi-object tracking using random finite sets, 2014.

K. O. Arras, O. M. Mozos, and W. Burgard, Using Boosted Features for the Detection of People in 2D Range Data, Proceedings 2007 IEEE International Conference on Robotics and Automation, pp.3402-3407, 2007.
DOI : 10.1109/ROBOT.2007.363998

L. Spinello, K. Arras, R. Triebel, and R. Siegwart, A Layered Approach to People Detection in 3D Range Data, AAAI, 2010.

A. Azim and O. Aycard, Layer-based supervised classification of moving objects in outdoor dynamic environment using 3D laser scanner, 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014.
DOI : 10.1109/IVS.2014.6856558

M. Himmelsbach and A. Müller, LIDAR-based 3D object perception, Proceedings of 1st international workshop on cognition for technical systems, 2008.

L. Lamard, R. Chapuis, and J. Boyer, CPHD filter addressing occlusions with pedestrians and vehicles tracking, 2013 IEEE Intelligent Vehicles Symposium (IV), pp.1125-1130, 2013.
DOI : 10.1109/IVS.2013.6629617

B. Pannetier, J. Dezert, and E. Pollard, Improvement of Multiple Ground Targets Tracking with GMTI Sensor and Fusion of Identification Attributes, 2008 IEEE Aerospace Conference, pp.1-13, 2008.
DOI : 10.1109/AERO.2008.4526437

A. E. Johnson and M. Hebert, Using spin images for efficient object recognition in cluttered 3D scenes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.21, issue.5, pp.433-449, 1999.
DOI : 10.1109/34.765655

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.1-8, 2005.
DOI : 10.1109/CVPR.2005.177

URL : https://hal.archives-ouvertes.fr/inria-00548512

D. Schulz, W. Burgard, D. Fox, and A. B. Cremers, People Tracking with Mobile Robots Using Sample-Based Joint Probabilistic Data Association Filters, The International Journal of Robotics Research, vol.22, issue.2, pp.99-116, 2003.
DOI : 10.1177/0278364903022002002

L. Spinello and R. Siegwart, Human detection using multimodal and multidimensional features, 2008 IEEE International Conference on Robotics and Automation, pp.3264-3269, 2008.
DOI : 10.1109/ROBOT.2008.4543708

A. Teichman, J. Levinson, and S. Thrun, Towards 3D object recognition via classification of arbitrary object tracks, 2011 IEEE International Conference on Robotics and Automation, pp.4034-4041, 2011.
DOI : 10.1109/ICRA.2011.5979636

A. Jain, R. Duin, and J. Mao, Statistical pattern recognition: a review, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.1, pp.4-37, 2000.
DOI : 10.1109/34.824819

P. Viola and M. Jones, Rapid object detection using a boosted cascade of simple features, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, pp.511-518, 2001.
DOI : 10.1109/CVPR.2001.990517

A. Geiger, P. Lenz, and R. Urtasun, Are we ready for autonomous driving? The KITTI vision benchmark suite, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.3354-3361, 2012.
DOI : 10.1109/CVPR.2012.6248074