J. Andrew and . Davison, Real-time simultaneous localisation and mapping with a single camera, Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on, pp.1403-1410, 2003.

E. Eade and T. Drummond, Scalable monocular slam In Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol.1, pp.469-476, 2006.

F. Endres, J. Hess, N. Engelhard, J. Sturm, D. Cremers et al., An evaluation of the RGB-D SLAM system, 2012 IEEE International Conference on Robotics and Automation, pp.1691-1696, 2012.
DOI : 10.1109/ICRA.2012.6225199

J. Engel, J. Sturm, and D. Cremers, Camera-based navigation of a low-cost quadrocopter, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.2815-2821, 2012.
DOI : 10.1109/IROS.2012.6385458

N. Engelhard, F. Endres, J. Hess, J. Sturm, and W. Burgard, Real-time 3d visual slam with a hand-held rgb-d camera, Proc. of the RGB-D Workshop on 3D Perception in Robotics at the European Robotics Forum, 2011.

A. Martin, . Fischler, C. Robert, and . Bolles, Random sample consensus : a paradigm for model fitting with applications to image analysis and automated cartography, Communications of the ACM, vol.24, issue.6, pp.381-395, 1981.

P. Henry, M. Krainin, E. Herbst, X. Ren, and D. Fox, RGB-D Mapping: Using Depth Cameras for Dense 3D Modeling of Indoor Environments, In the 12th International Symposium on Experimental Robotics (ISER. Citeseer, 2010.
DOI : 10.1007/978-3-642-28572-1_33

S. Albert, A. Huang, P. Bachrach, M. Henry, D. Krainin et al., Visual odometry and mapping for autonomous flight using an rgb-d camera, International Symposium on Robotics Research (ISRR), pp.1-16, 2011.

C. Kerl, J. Sturm, and D. Cremers, Robust odometry estimation for RGB-D cameras, 2013 IEEE International Conference on Robotics and Automation, pp.3748-3754, 2013.
DOI : 10.1109/ICRA.2013.6631104

G. Klein and D. Murray, Parallel Tracking and Mapping for Small AR Workspaces, 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality, pp.225-234, 2007.
DOI : 10.1109/ISMAR.2007.4538852

M. Li, I. Anastasios, and . Mourikis, High-precision, consistent EKF-based visual-inertial odometry, The International Journal of Robotics Research, vol.2, issue.6, pp.690-711, 2013.
DOI : 10.1177/0278364913481251

G. David and . Lowe, Distinctive image features from scaleinvariant keypoints, International journal of computer vision, vol.60, issue.2, pp.91-110, 2004.

M. Meilland, I. Andrew, and . Comport, On unifying key-frame and voxel-based dense visual SLAM at large scales, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.3677-3683, 2013.
DOI : 10.1109/IROS.2013.6696881

URL : https://hal.archives-ouvertes.fr/hal-01357359

J. Jorge and . Moré, The levenberg-marquardt algorithm : implementation and theory, Numerical analysis, pp.105-116, 1978.

A. Richard, . Newcombe, J. Andrew, S. Davison, P. Izadi et al., Kinectfusion : Real-time dense surface mapping and tracking, Mixed and augmented reality (ISMAR) 10th IEEE international symposium on, pp.127-136, 2011.

A. Sebastian, D. Scherer, A. Dube, and . Zell, Using depth in visual simultaneous localisation and mapping, Robotics and Automation (ICRA), 2012 IEEE International Conference on, pp.5216-5221, 2012.

A. Sebastian, A. Scherer, and . Zell, Efficient onbard rgbd-slam for autonomous mavs, Intelligent Robots and Systems (IROS) 2013 IEEE/RSJ International Conference on, pp.1062-1068, 2013.

B. Triggs, F. Philip, . Mclauchlan, I. Richard, . Hartley et al., Bundle adjustment?a modern synthesis In Vision algorithms : theory and practice, pp.298-372, 2000.

T. Whelan, M. Kaess, M. Fallon, H. Johannsson, J. Leonard et al., Kintinuous : Spatially extended kinectfusion, 2012.

T. Whelan, M. Kaess, J. John, J. Leonard, and . Mcdonald, Deformation-based loop closure for large scale dense RGB-D SLAM, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.548-555, 2013.
DOI : 10.1109/IROS.2013.6696405

J. Zhang, M. Kaess, and S. S. , Real-time depth enhanced monocular odometry, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems
DOI : 10.1109/IROS.2014.6943269