J. D. 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

W. Burgard and M. Hebert, World modeling, pp.853-869, 2008.

E. Einhorn, C. Schroter, and H. Gross, Finding the adequate resolution for grid mapping - Cell sizes locally adapting on-the-fly, 2011 IEEE International Conference on Robotics and Automation, 2011.
DOI : 10.1109/ICRA.2011.5980084

A. Elfes, Occupancy Grids: A Probabilistic Framework for Robot Perception and Navigation, 1989.
DOI : 10.1109/2.30720

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

R. Gartshore, A. Aguado, and C. Galambos, Incremental map building using an occupancy grid for an autonomous monocular robot, 7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002., pp.613-618, 2002.
DOI : 10.1109/ICARCV.2002.1238494

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

F. Homm, N. Kaempchen, J. Ota, and D. Burschka, Efficient occupancy grid computation on the GPU with lidar and radar for road boundary detection, 2010 IEEE Intelligent Vehicles Symposium, 2010.
DOI : 10.1109/IVS.2010.5548091

A. Hornung, K. Wurm, M. Bennewitz, C. Stachniss, and W. Burgard, OctoMap: an efficient probabilistic 3D mapping framework based on octrees, Autonomous Robots, vol.11, issue.3, pp.189-206, 2013.
DOI : 10.15607/RSS.2007.III.017

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

K. Konolige, Improved occupancy grids for map building, Autonomous Robots, vol.4, issue.4, pp.351-367, 1997.
DOI : 10.1023/A:1008806422571

Y. Li and Y. Ruichek, Building variable resolution occupancy grid map from stereoscopic system — A quadtree based approach, 2013 IEEE Intelligent Vehicles Symposium (IV), pp.744-749, 2013.
DOI : 10.1109/IVS.2013.6629556

D. Mackinnon, V. Aitken, and F. Blais, A Comparison of Precision and Accuracy in Triangulation Laser Range Scanners, 2006 Canadian Conference on Electrical and Computer Engineering, 2006.
DOI : 10.1109/CCECE.2006.277607

H. Moravec and A. Elfes, High resolution maps from wide angle sonar, Proceedings. 1985 IEEE International Conference on Robotics and Automation, pp.116-121, 1985.
DOI : 10.1109/ROBOT.1985.1087316

T. N. Nguyen, B. Michaelis, A. Hamadi, M. Tornow, and M. 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

P. Payeur, D. Laurendeau, and C. Gosselin, Range data merging for probabilistic octree modeling of 3D workspaces, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146), pp.3071-3078, 1998.
DOI : 10.1109/ROBOT.1998.680897

T. Rakotovao, J. Mottin, D. Puschini, and C. Laugier, Real-time power-efficient integration of multisensor occupancy grid on many-core, The 2015 IEEE International Workshop on Advanced Robotics and its Social Impacts, 2015.
URL : https://hal.archives-ouvertes.fr/cea-01176446

T. Weiss, Robust Driving Path Detection in Urban and Highway Scenarios Using a Laser Scanner and Online Occupancy Grids, 2007 IEEE Intelligent Vehicles Symposium, 2007.
DOI : 10.1109/IVS.2007.4290112

M. Yguel, O. Aycard, and C. Laugier, Efficient GPU-based Construction of Occupancy Girds Using several Laser Range-finders, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.105-110, 2006.
DOI : 10.1109/IROS.2006.281817