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=10.1.1.218.8152

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=10.1.1.60.8093

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=10.1.1.299.2987

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