O. Aycard, A. Spalanzani, J. Burlet, T. Fraichard, C. Laugier et al., PUVAME - New French Approach for Vulnerable Road Users Safety, 2006 IEEE Intelligent Vehicles Symposium, 2006.
DOI : 10.1109/IVS.2006.1689596
URL : https://hal.archives-ouvertes.fr/inria-00182026

C. Blanc, L. Trassoudaine, Y. L. Guilloux, and R. Moreira, Track to track fusion method applied to road obstacle detection, International Conference on Information Fusion, 2004.

J. Borenstein and Y. Koren, The vector field histogram-fast obstacle avoidance for mobile robots, IEEE Transactions on Robotics and Automation, vol.7, issue.3, pp.278-288, 1991.
DOI : 10.1109/70.88137

H. Cramer, U. Scheunert, and G. Wanielik, Multi sensor fusion for object detection using generalized feature models, Sixth International Conference of Information Fusion, 2003. Proceedings of the, 2003.
DOI : 10.1109/ICIF.2003.177419

A. Elfes, Occupancy grids: a probabilistic framework for robot perception and navigation, 1989.

J. S. Franco and E. Boyer, Fusion of multi-view silhouette cues using a space occupancy grid, IEEE International Conference on Computer Vision, 2005.
URL : https://hal.archives-ouvertes.fr/inria-00070456

D. Kortenkamp, R. P. Bonasso, and R. Murphy, AI-based mobile robots, 1998.

B. J. Kuipers, The Spatial Semantic Hierarchy, Artificial Intelligence, vol.119, issue.1-2, pp.191-233, 2000.
DOI : 10.1016/S0004-3702(00)00017-5

S. Z. Li, Markov Random Field Modeling in Image Analysis Series: Computer Science Workbench, XIX, 323 p. 99 illus., Softcover ISBN, pp.4-431, 2001.

H. P. Moravec and M. C. Martin, Robot navigation by 3d spatial evidence grids, 1994.

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, 2003.
DOI : 10.1177/0278364903022002002
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.378.6627

B. Steux, C. Laurgeau, L. Salesse, and D. Wautier, A vehicule detection and tracking system featuring monocular color vision and radar data fusion, IEEE International Conference on Intelligent Vehicules, 2002.
DOI : 10.1109/ivs.2002.1188022

S. Thrun, Learning metric-topological maps for indoor mobile robot navigation, Artificial Intelligence, vol.99, issue.1, pp.21-71, 1999.
DOI : 10.1016/S0004-3702(97)00078-7
URL : http://doi.org/10.1016/s0004-3702(97)00078-7

B. Yamauchi, A frontier-based approach for autonomous exploration, Proceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA'97. 'Towards New Computational Principles for Robotics and Automation', pp.146-151, 1997.
DOI : 10.1109/CIRA.1997.613851