A. Angeli, D. Filliat, S. Doncieux, and J. Meyer, Fast and Incremental Method for Loop-Closure Detection Using Bags of Visual Words, IEEE Transactions on Robotics, vol.24, issue.5, pp.1027-1037, 2008.
DOI : 10.1109/TRO.2008.2004514
URL : https://hal.archives-ouvertes.fr/hal-00652598

E. C. Tolman, Cognitive maps in rats and men., Psychological Review, vol.55, issue.4, pp.189-208, 1948.
DOI : 10.1037/h0061626

D. Filliat and J. Meyer, Map-based navigation in mobile robots:, Cognitive Systems Research, vol.4, issue.4, pp.243-282, 2003.
DOI : 10.1016/S1389-0417(03)00008-1
URL : https://hal.archives-ouvertes.fr/hal-00655473

M. Milford and G. Wyeth, Hippocampal models for simultaneous localisation and mapping on an autonomous robot, IEEE International Conference on Robotics & Automation, 2003.

M. Cummins and P. Newman, FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance, The International Journal of Robotics Research, vol.27, issue.6, pp.647-665, 2008.
DOI : 10.1177/0278364908090961

. Fig, Comparison between the previous and the novel evolution model on the first loop-closure of the sequence We can consider on this 1.5m of the run four loop-closure location. The loop-closure detected by the novel algorithm are : 46-78, 47-79, 48-80 which correspond to the ground truth. The loop-closure detected by the previous model are 46-79 and 48-80 which are visually correct but are inconsistent with the robot trajectory as they present a gap between detections

A. Davison, I. Reid, N. Molton, and O. Stasse, MonoSLAM: Real-Time Single Camera SLAM, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.6, pp.1052-1067, 2007.
DOI : 10.1109/TPAMI.2007.1049

F. Fraundorfer, C. Engels, and D. Nistér, Topological mapping, localization and navigation using image collections, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2007.
DOI : 10.1109/IROS.2007.4399123

B. Steder, G. Grisetti, S. Grzonka, C. Stachniss, A. Rottmann et al., Learning maps in 3D using attitude and noisy vision sensors, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2007.
DOI : 10.1109/IROS.2007.4399414

T. Bailey and H. Durrant-whyte, Simultaneous localization and mapping (SLAM): part II, IEEE Robotics & Automation Magazine, vol.13, issue.3, pp.108-117, 2006.
DOI : 10.1109/MRA.2006.1678144

B. Kuipers and Y. Byun, A robot exploration and mapping strategy based on a semantic hierarchy of spatial representations, Robotics and Autonomous Systems, vol.8, issue.1-2, pp.47-63, 1991.
DOI : 10.1016/0921-8890(91)90014-C

J. Porta and B. Krse, Appearance-based concurrent map building and localization, Robotics and Autonomous Systems, vol.54, issue.2, pp.159-164, 2006.
DOI : 10.1016/j.robot.2005.09.025

J. Wang, H. Zha, and R. Cipolla, Coarse-to-fine vision-based localization by indexing scale-Invariant features, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.36, issue.2, pp.413-422, 2006.
DOI : 10.1109/TSMCB.2005.859085

O. Booij, B. Terwijn, Z. Zivkovic, and B. Kröse, Navigation using an appearance based topological map, Proceedings 2007 IEEE International Conference on Robotics and Automation, 2007.
DOI : 10.1109/ROBOT.2007.364081

E. Menegatti, M. Zoccarato, E. Pagello, and H. Ishiguro, Image-based Monte Carlo localisation with omnidirectional images, Robotics and Autonomous Systems, vol.48, issue.1, pp.17-30, 2004.
DOI : 10.1016/j.robot.2004.05.003

A. Angeli, D. Filliat, S. Doncieux, and J. Meyer, Real-time visual loop-closure detection, 2008 IEEE International Conference on Robotics and Automation, pp.1842-1847, 2008.
DOI : 10.1109/ROBOT.2008.4543475
URL : https://hal.archives-ouvertes.fr/hal-00647371

D. Filliat, A visual bag of words method for interactive qualitative localization and mapping, Proceedings 2007 IEEE International Conference on Robotics and Automation, 2007.
DOI : 10.1109/ROBOT.2007.364080
URL : https://hal.archives-ouvertes.fr/hal-00640996

D. Lowe, D. Nistér, O. Naroditsky, and J. Bergen, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004.
DOI : 10.1023/B:VISI.0000029664.99615.94

K. Konolige, J. Bowman, J. D. Chen, P. Mihelich, M. Calonder et al., View-based maps, Proceedings of Robotics: Science and Systems, 2009.

G. Sibley, C. Mei, I. Reid, and P. Newman, Adaptive relative bundle adjustment, Robotics: Science and Systems V, 2009.
DOI : 10.15607/RSS.2009.V.023

A. Diosi, A. Remazeilles, S. Segvic, and F. Chaumette, Outdoor visual path following experiments, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2007.
DOI : 10.1109/IROS.2007.4399247
URL : https://hal.archives-ouvertes.fr/inria-00350644

T. Duckett, S. Marsland, and J. Shapiro, Learning globally consistent maps by relaxation, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065), pp.3841-3846, 2000.
DOI : 10.1109/ROBOT.2000.845330

D. Filliat and J. A. Meyer, Global localization and topological map learning for robot navigation, From Animals to Animats 7. The Seventh International Conference on simulation of adaptive behavior (SAB02), 2002.
URL : https://hal.archives-ouvertes.fr/hal-00655477

P. Rybski, F. Zacharias, J. Lett, O. Masoud, M. Gini et al., Using visual features to build topological maps of indoor environments, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422), 2003.
DOI : 10.1109/ROBOT.2003.1241699

D. Nistér, An efficient solution to the five-point relative pose problem, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.6, pp.756-777, 2004.
DOI : 10.1109/TPAMI.2004.17

G. Grisetti, C. Stachniss, S. Grzonka, and W. Burgard, A Tree Parameterization for Efficiently Computing Maximum Likelihood Maps using Gradient Descent, Robotics: Science and Systems III, 2007.
DOI : 10.15607/RSS.2007.III.009

E. Olson, J. Leonard, and S. Teller, Fast iterative alignment of pose graphs with poor initial estimates, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006., pp.2262-2269, 2006.
DOI : 10.1109/ROBOT.2006.1642040

S. Thrun, W. Burgard, and D. Fox, Probabilistic Robotics (Intelligent Robotics and Autonomous Agents), 2005.