M. Anguelova, Non linear Observability and Identifiability: General Theory and a Case Study of a Kinetic Model, 2004.

G. Antonelli and S. Chiaverini, Linear estimation of the physical odometric parameters for differential-drive mobile robots, Autonomous Robots, vol.18, issue.3, pp.59-68
DOI : 10.1007/s10514-007-9030-2

A. Bicchi, D. Pratichizzo, A. Marigo, and A. Balestrino, ON THE OBSERVABILITY OF MOBILE VEHICLE LOCALIZATION, Theory and Practice of Control and Systems, 1998.
DOI : 10.1142/9789814447317_0025

P. Bonnifait and G. Garcia, Design and experimental validation of an odometric and goniometric localization system for outdoor robot vehicles, IEEE Transactions on Robotics and Automation, vol.14, issue.4, 1998.
DOI : 10.1109/70.704218

J. Borenstein and L. Feng, Measurement and correction of systematic odometry errors in mobile robots, IEEE Transactions on Robotics and Automation, vol.12, issue.6, pp.869-880, 1996.
DOI : 10.1109/70.544770

W. L. Brogan, Modern Control Theory, 1991.

X. Brun and F. Goulette, Modeling and calibration of coupled fisheye CCD camera and laser range scanner for outdoor environment reconstruction, Proceedings of the International Conference on 3D Digital Imaging and Modeling, pp.320-327, 2007.
URL : https://hal.archives-ouvertes.fr/hal-01259676

K. S. Chong and L. Kleeman, Accurate Odometry and Error Modelling for a Mobile Robot, International Conference on Robotics and Automation, pp.2783-2788, 1997.

D. T. Cole, P. Thompson, A. H. Goktogan, and S. Sukkarieh, System Development and Demonstration of a Cooperative UAV Team for Mapping and Tracking, The International Journal of Robotics Research, vol.29, issue.11, pp.1371-1399, 2010.
DOI : 10.1177/0278364910364685

N. L. Doh, H. Choset, and W. K. Chung, Relative localization using path odometry information, Autonomous Robots, vol.18, issue.3, pp.143-154
DOI : 10.1007/s10514-006-6474-8

G. P. Huang, A. I. Mourikis, and R. S. , Analysis and improvement of the consistency of extended Kalman filter based SLAM, 2008 IEEE International Conference on Robotics and Automation, pp.473-479, 2008.
DOI : 10.1109/ROBOT.2008.4543252

A. Isidori, Nonlinear Control Systems, 1995.

R. L. Kosut, A. Arbel, and K. M. Kessler, Optimal sensor system design for state reconstruction, IEEE Transactions on Automatic Control, vol.27, issue.1, 1982.
DOI : 10.1109/TAC.1982.1102842

K. W. Lee, W. S. Wijesoma, and J. I. Guzman, On the Observability and Observability Analysis of SLAM, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006.
DOI : 10.1109/IROS.2006.281646

F. Lorussi, A. Marigo, and A. Bicchi, Optimal exploratory paths for a mobile rover, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164), pp.2078-2083, 2001.
DOI : 10.1109/ROBOT.2001.932913

A. Martinelli, Using the distribution theory to simultaneously calibrate the sensors of a mobile robot, Robotics: Science and Systems V
DOI : 10.15607/RSS.2009.V.011

URL : https://hal.archives-ouvertes.fr/inria-00353079

A. Martinelli, Continuous Symmetries and Observability Properties in Autonomous Navigation, Internal Research Report, INRIA
URL : https://hal.archives-ouvertes.fr/inria-00421233

A. Martinelli, Deriving and Estimating All the Observable Modes when Fusing Monocular Vision and Inertial Measurements: A Closed Form Solution, Transaction on Robotics

A. Martinelli, D. Scaramuzza, and R. Siegwart, Automatic self-calibration of a vision system during robot motion, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006., 2006.
DOI : 10.1109/ROBOT.2006.1641159

URL : https://hal.archives-ouvertes.fr/inria-00182095

A. Martinelli, Local decomposition and observability properties for automatic calibration in mobile robotics, 2009 IEEE International Conference on Robotics and Automation, 2009.
DOI : 10.1109/ROBOT.2009.5152730

URL : https://hal.archives-ouvertes.fr/inria-00359939

A. Martinelli, Using the distribution theory to simultaneously calibrate the sensors of a mobile robot, Robotics: Science and Systems V, 2009.
DOI : 10.15607/RSS.2009.V.011

URL : https://hal.archives-ouvertes.fr/inria-00353079

F. M. Mirzaei and S. I. Roumeliotis, A Kalman Filter-Based Algorithm for IMU-Camera Calibration: Observability Analysis and Performance Evaluation, IEEE Transactions on Robotics, vol.24, issue.5, pp.1143-1156, 2008.
DOI : 10.1109/TRO.2008.2004486

F. C. Park and B. J. Martin, Robot sensor calibration: solving AX=XB on the Euclidean group, IEEE Transactions on Robotics and Automation, vol.10, issue.5
DOI : 10.1109/70.326576

L. Perera, W. S. Wijesoma, and M. Adams, The Estimation Theoretic Sensor Bias Correction Problem in Map Aided Localization, The International Journal of Robotics Research, vol.44, issue.4, 2006.
DOI : 10.1177/0278364906066755

S. I. Roumeliotis and G. A. Bekey, Distributed multirobot localization, IEEE Transactions on Robotics and Automation, vol.18, issue.5, 2002.
DOI : 10.1109/TRA.2002.803461

URL : https://hal.archives-ouvertes.fr/hal-00428663

N. Roy and T. S. , Online Self-calibration for Mobile Robots, proceedings of the, IEEE International Conference on Robotics and Automation, pp.2292-2297, 1999.

Y. C. Shiu and S. Ahmad, Calibration of wrist-mounted robotic sensors by solving homogeneous transform equations of the form AX=XB, IEEE Transactions on Robotics and Automation, vol.5, issue.1, 1989.
DOI : 10.1109/70.88014

R. Siegwart and I. Nourbakhsh, Introduction to Autonomous Mobile Robots, 2004.

H. J. Von-der-hardt, R. Husson, and D. Wolf, An automatic calibration method for a multisensor system: application to a mobile robot localization system, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146), 1998.
DOI : 10.1109/ROBOT.1998.680908

S. Wasielewski and O. Strauss, Calibration of a multi-sensor system laser rangefinder/camera, Proceedings of the Intelligent Vehicles '95. Symposium, pp.472-477, 1995.
DOI : 10.1109/IVS.1995.528327

Q. Zhang and R. Pless, Extrinsic calibration of a camera and laser range finder (improves camera calibration), Proceedings of the IEEE, pp.2301-2306, 2004.