G. Grisetti, C. Stachniss, and W. Burgard, Improving grid-based slam with rao-blackwellized particle filters by adaptive proposals and selective resampling, Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on, pp.2432-2437, 2005.

S. Kohlbrecher, O. Stryk, J. Meyer, and U. Klingauf, A flexible and scalable slam system with full 3d motion estimation, Safety, Security, and Rescue Robotics (SSRR), 2011 IEEE International Symposium on, pp.155-160, 2011.

P. Moutarlier and R. Chatila, An experimental system for incremental environment modelling by an autonomous mobile robot, Experimental Robotics I, The First International Symposium, vol.139, pp.327-346, 1989.

R. Smith, M. Self, and P. Cheeseman, A stochastic map for uncertain spatial relationships, Proceedings of the 4th International Symposium on Robotics Research, pp.467-474, 1988.

M. Dissanayake, P. Newman, S. Clark, H. Durrant-whyte, and M. Csorba, A solution to the simultaneous localization and map building (slam) problem, IEEE Transactions on, vol.17, issue.3, pp.229-241, 2001.

G. Grisetti, C. Stachniss, and W. Burgard, Improved techniques for grid mapping with rao-blackwellized particle filters, Robotics, IEEE Transactions on, vol.23, pp.34-46, 2007.

M. Bosse, P. Newman, J. Leonard, M. Soika, W. Feiten et al., An atlas framework for scalable mapping, Proceedings. ICRA '03. IEEE International Conference on, vol.2, pp.1899-1906, 2003.

C. Estrada, J. Neira, and J. Tardos, Hierarchical slam: Real-time accurate mapping of large environments, Robotics, IEEE Transactions on, vol.21, pp.588-596, 2005.

J. Castellanos, R. Martinez-cantin, J. Tards, and J. Neira, Robocentric map joining: Improving the consistency of ekf-slam, simultaneous Localisation and Map Building, vol.55, pp.21-29, 2007.

F. Ferreira, I. Amorim, R. Rocha, and J. Dias, T-slam: Registering topological and geometric maps for robot localization in large environments, Multisensor Fusion and Integration for Intelligent Systems, pp.392-398, 2008.

P. Pinies, L. M. Paz, and J. Tardos, Ci-graph: An efficient approach for large scale slam, Robotics and Automation, 2009. ICRA '09. IEEE International Conference on, pp.3913-3920, 2009.

S. Huang, Z. Wang, G. Dissanayake, and U. Frese, Iterated d-slam map joining: evaluating its performance interms of consistency, accuracy and efficiency, Autonomous Robots, vol.27, issue.4, pp.409-429, 2009.

B. Suger, G. D. Tipaldi, L. Spinello, and W. Burgard, An approach to solving large-scale slam problems with a small memory footprint, Robotics and Automation (ICRA), pp.3632-3637, 2014.

C. Urmson, J. Anhalt, H. Bae, J. A. Bagnell, C. R. Baker et al., Autonomous driving in urban environments: Boss and the urban challenge, Journal of Field Robotics Special Issue on the 2007 DARPA Urban Challenge, Part I, vol.25, issue.8, pp.425-466, 2008.

M. Montemerlo, J. Becker, S. Bhat, H. Dahlkamp, D. Dolgov et al., Junior: The stanford entry in the urban challenge, Journal of Field Robotics, 2008.

A. Bacha, C. Bauman, R. Faruque, M. Fleming, C. Terwelp et al., Odin: Team victortango's entry in the darpa urban challenge, Journal of Field Robotics, vol.25, issue.8, pp.467-492, 2008.

, how-google-self-driving-car-works 7th Workshop on Planning, Perception and Navigation for Intelligent Vehicles, 2011.