. [. Bibliographie, E. Avots, R. Lim, S. Thibaux, and . Thrun, A probabilistic technique for simultaneous localization and door state estimation with mobile robots in dynamic environments, Mobile Robot Localisation and Mapping in Extensive Outdoor Environments, 2001.

M. Bosse, P. Newman, J. Leonard, M. Soika, W. Feiten et al., An Atlas framework for scalable mapping, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422), 2003.
DOI : 10.1109/ROBOT.2003.1241872

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.5136

]. A. Ddfmr, N. Doucet, K. De-freitas, S. Murphy, . P. Russelldlr77-]-a et al., Rao-blackwellised particle filters for dynamic bayes net Maximum likelihood from incomplete data via the em algorithm Using Occupancy Grids for Mobile Robot Perception and Navigation Random sample consensus : a paradigm for model fitting with applications to image analysis and automated cartography, Gha98] Zoubin Ghahramani. Learning Dynamic Bayesian Networks. In Adaptive Processing of Sequences and Data Structures, International Summer School on Neural Networks. [GSB05] G. Grisetti, C. Stachniss, and W. Burgard. Improving grid-based SLAM with RaoBlackwellized particle filters by adaptive proposals and selective resampling, pp.1-3846, 1977.

D. Hähnel, D. Fox, W. Burgard, S. E. Thrunkal60-]-r, and . Kalman, A highly efficient FastSLAM algorithm for generating cyclic maps of large-scale environments from raw laser range measurements A new approach to linear filtering and prediction problems, Proceedings of the Conference on Intelligent Robots and SystemsKDR01] J. Knight, A. Davison, and I. Reid. Towards constant time slam using postponement . EEE/RSJ International Conference on Intelligent Robots and Systems, pp.35-45, 1960.

L. Montesano, J. Minguez, and L. Montano, Modeling the Static and the Dynamic Parts of the Environment to Improve Sensor-based Navigation, Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005.
DOI : 10.1109/ROBOT.2005.1570822

M. Montemerlo and S. Thrun, FastSLAM 2.0 : An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that Provably Converges

S. [. Montemerlo, D. Thrun, B. Koller, and . Wegbreit, FastSLAM : A factored solution to the simultaneous localization and mapping problem, 2002.

]. K. Mur and . Murphy, Bayesian map learning in dynamic environments

J. Nieto, J. Guivant, E. Nebot, and S. Thrun, Real time data association for FastSLAM, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422), 2003.
DOI : 10.1109/ROBOT.2003.1241630

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.6059

T. Duckett and P. Biber, Dynamic Maps for Long-Term Operation of Mobile Service Robots, Proceedings of Robotics : Science and Systems, 2005.

W. [. Stachniss and . Burgard, Mobile Robot Mapping and Localization in Non-Static Environments, Proc. of the National Conference on Artificial Intelligence (AAAI), 2005.

C. Randall, P. Smith, and . Cheeseman, On the representation and estimation of spatial uncertainly, 1986.

H. Shatkay and L. P. Kaelbling, Learning Topological Maps with Weak Local Odometric Information, IJCAI, pp.920-929, 1997.

Y. Shi, Y. Song, and A. Zhang, A shrinking-based clustering approach for multidimensional data, IEEE Transactions on Knowledge and Data Engineering, vol.17, issue.10, pp.1389-1403, 2005.
DOI : 10.1109/TKDE.2005.157

W. [. Thrun, D. Burgard, and . Fox, A real-time algorithm for mobile robot mapping with applications to multi-robot and 3D mapping, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065), 2000.
DOI : 10.1109/ROBOT.2000.844077

D. [. Thrun, W. Fox, and . Burgard, A probabilistic approach to concurrent mapping and localization for mobile robots, Machine Learning, pp.29-53, 1998.

[. Thrun, Exploration and model building in mobile robot domains, IEEE International Conference on Neural Networks, 1993.
DOI : 10.1109/ICNN.1993.298552

]. S. Thr01 and . Thrun, A probabilistic online mapping algorithm for teams of mobile robots, International Journal of Robotics Research, vol.20, issue.5, pp.335-363, 2001.

]. S. Tkg-+-02, D. Thrun, Z. Koller, H. Ghahramani, A. Durrant-whyte et al., Simultaneous mapping and localization with sparse extended information filters, 2002.

M. [. Thrun, W. Montemerlo, and . Whittaker, Conditional particle filters for simultaneous mobile robot localization and people-tracking, 2002.

[. Wolf and G. S. Sukhatme, Online simultaneous localization and mapping in dynamic environments, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004
DOI : 10.1109/ROBOT.2004.1308004

C. [. Wang and . Thorpe, Simultaneous localization and mapping with detection and tracking of moving objects, 2002.

C. Wang, C. Thorpe, and S. Thrun, Online Simultaneous Localization and Mapping with Detection and Tracking of Moving Objects : Theory and Results from a Ground Vehicle in Crowded Urban Areas, 2003.

B. Yamauchi and R. Beer, Spatial learning for navigation in dynamic environments, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.26, issue.3, 1996.
DOI : 10.1109/3477.499799