S. Zhao and J. A. Farrell, 2D LIDAR Aided INS for vehicle positioning in urban environments, 2013 IEEE International Conference on Control Applications (CCA), pp.376-381, 2013.
DOI : 10.1109/CCA.2013.6662778

R. G. Brown and P. Y. Hwang, Introduction to Random Signals and Applied Kalman Filtering, 1997.

J. A. Farrell, Aided Navigation: GPS with High Rate Sensors, 2008.

T. Cheviron, T. Hamel, R. Mahony, and G. Baldwin, Robust Nonlinear Fusion of Inertial and Visual Data for position, velocity and attitude estimation of UAV, Proceedings 2007 IEEE International Conference on Robotics and Automation, pp.2010-2016, 2007.
DOI : 10.1109/ROBOT.2007.363617

J. F. Vasconcelos, R. Cunha, C. Silvestre, and P. Oliveira, A nonlinear position and attitude observer on SE(3) using landmark measurements, Systems & Control Letters, vol.59, issue.3-4, pp.155-166, 2010.
DOI : 10.1016/j.sysconle.2009.11.008

G. G. Scandaroli, P. Morin, and G. Silveira, A nonlinear observer approach for concurrent estimation of pose, IMU bias and camerato-IMU rotation, Proceedings of the 2011 IEEE, pp.3335-3341, 2011.

F. Lu and E. E. Milios, Robot pose estimation in unknown environments by matching 2D range scans, Proceedings of the 1994 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.935-938, 1994.

P. J. Besl and N. D. Mckay, A method for registration of 3-D shapes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.14, issue.2, pp.239-256, 1992.
DOI : 10.1109/34.121791

Y. Chen and G. Medioni, Object modelling by registration of multiple range images, Image and Vision Computing, vol.10, issue.3, pp.145-155, 1992.
DOI : 10.1016/0262-8856(92)90066-C

S. Bonnabel, Left-invariant extended Kalman filter and attitude estimation, 2007 46th IEEE Conference on Decision and Control, pp.1027-1032, 2007.
DOI : 10.1109/CDC.2007.4434662

S. Bonnabel, P. Martin, and E. Salaün, Invariant Extended Kalman Filter: theory and application to a velocity-aided attitude estimation problem, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, pp.1297-1304, 2009.
DOI : 10.1109/CDC.2009.5400372

URL : https://hal.archives-ouvertes.fr/hal-00494342

S. Bonnabel, P. Martin, and P. Rouchon, Symmetry-Preserving Observers, IEEE Transactions on Automatic Control, vol.53, issue.11, pp.2514-2526, 2008.
DOI : 10.1109/TAC.2008.2006929

URL : https://hal.archives-ouvertes.fr/hal-00449206

P. Martin and E. Salaün, Generalized Multiplicative Extended Kalman Filter for Aided Attitude and Heading Reference System, AIAA Guidance, Navigation, and Control Conference, 2010.
DOI : 10.2514/6.2010-8300

URL : https://hal.archives-ouvertes.fr/hal-00555580

M. Barczyk and A. F. Lynch, Invariant Observer Design for a Helicopter UAV Aided Inertial Navigation System, IEEE Transactions on Control Systems Technology, vol.21, issue.3, pp.791-806, 2013.
DOI : 10.1109/TCST.2012.2195495

T. Hervier, S. Bonnabel, and F. Goulette, Accurate 3D maps from depth images and motion sensors via nonlinear Kalman filtering, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.5291-5297, 2012.
DOI : 10.1109/IROS.2012.6385597

URL : https://hal.archives-ouvertes.fr/hal-01259335

M. Barczyk, S. Bonnabel, J. Deschaud, and F. Goulette, Experimental implementation of an Invariant Extended Kalman Filter-based scan matching SLAM, 2014 American Control Conference, pp.4121-4126, 2014.
DOI : 10.1109/ACC.2014.6859291

URL : https://hal.archives-ouvertes.fr/hal-01259294

J. M. Lee, Introduction to Smooth Manifolds, 2013.

K. Khoshelham and S. O. Elberink, Accuracy and Resolution of Kinect Depth Data for Indoor Mapping Applications, Sensors, vol.12, issue.12, pp.1437-1454, 2012.
DOI : 10.3390/s120201437

S. Rusinkiewicz and M. Levoy, Efficient variants of the ICP algorithm, Proceedings Third International Conference on 3-D Digital Imaging and Modeling, pp.145-152, 2001.
DOI : 10.1109/IM.2001.924423

K. Klasing, D. Althoff, D. Wollherr, and M. Buss, Comparison of surface normal estimation methods for range sensing applications, 2009 IEEE International Conference on Robotics and Automation, pp.3206-3211, 2009.
DOI : 10.1109/ROBOT.2009.5152493

J. H. Friedman, J. L. Bentley, and R. A. , An Algorithm for Finding Best Matches in Logarithmic Expected Time, ACM Transactions on Mathematical Software, vol.3, issue.3, pp.209-226, 1977.
DOI : 10.1145/355744.355745

O. Bengtsson and A. Baerveldt, Robot localization based on scan-matching???estimating the covariance matrix for the IDC algorithm, Robotics and Autonomous Systems, vol.44, issue.1, pp.29-40, 2003.
DOI : 10.1016/S0921-8890(03)00008-3

S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory, 1993.

M. Barczyk, S. Bonnabel, and F. Goulette, Observability, covariance and uncertainty of ICP scan matching, 2014.