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

L. Armesto, J. Tornero, and M. Vincze, Fast Ego-motion Estimation with Multi-rate Fusion of Inertial and Vision, The International Journal of Robotics Research, vol.26, issue.6, pp.577-589, 2007.
DOI : 10.1177/0278364907079283

D. E. Angelaki, A. G. Shaikh, A. M. Green, and J. D. Dickman, Neurons compute internal models of the physical laws of motion, Nature, vol.23, issue.6999, pp.560-564, 2004.
DOI : 10.1016/S0896-6273(02)01028-0

A. Berthoz, B. Pavard, and L. R. Young, Perception of linear horizontal self-motion induced by peripheral vision (linearvection) basic characteristics and visual-vestibular interactions, Experimental Brain Research, vol.23, issue.5, pp.471-489, 1975.
DOI : 10.1007/BF00234916

M. Bryson and S. Sukkarieh, Observability analysis and active control for airborne SLAM, IEEE Transactions on Aerospace and Electronic Systems, vol.44, issue.1, pp.261-280, 2008.
DOI : 10.1109/TAES.2008.4517003

. Chiusoa, P. Favaro, H. Jin, and S. Soatto, Structure from motion causally integrated over time, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.4, pp.523-535, 2002.
DOI : 10.1109/34.993559

V. Cornilleau-peres and J. Droulez, The visual perception of three-dimensional shape from self-motion and object-motion, Vision research, pp.2331-2336, 1994.

P. Corke, J. Lobo, J. Dias, A. J. Davison, I. D. Reid et al., An Introduction to Inertial and Visual Sensing MonoSLAM: Real-Time Single Camera SLAM, International Journal of Robotics Research IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.296, pp.519-535, 2007.

J. Dias, M. Vinzce, P. Corke, and J. Lobo, Editorial: Special Issue: 2nd Workshop on Integration of Vision and Inertial Sensors, The International Journal of Robotics Research, vol.26, issue.6, pp.515-517, 2007.
DOI : 10.1177/0278364907079903

K. Dokka, P. R. Macneilage, G. C. De-angelis, and D. E. Angelaki, Estimating distance during self-motion: A role for visual-vestibular interactions, Journal of Vision, vol.11, issue.13, pp.1-16, 2011.
DOI : 10.1167/11.13.2

T. C. Dong-si and A. I. Mourikis, Estimator initialization in vision-aided inertial navigation with unknown camera-IMU calibration, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012.
DOI : 10.1109/IROS.2012.6386235

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

C. R. Fetsch, G. C. De-angelis, and D. E. Angelaki, Visual-vestibular cue integration for heading perception: applications of optimal cue integration theory, European Journal of Neuroscience, vol.42, issue.Suppl., pp.1721-1729, 2010.
DOI : 10.1111/j.1460-9568.2010.07207.x

M. A. Fischler and R. C. 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, p.381395, 1981.

P. Gemeiner, P. Einramhof, and M. Vincze, Simultaneous Motion and Structure Estimation by Fusion of Inertial and Vision Data, The International Journal of Robotics Research, vol.26, issue.6, pp.591-605, 2007.
DOI : 10.1177/0278364907080058

R. I. Hartley, In defense of the eight-point algorithm, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.19, issue.6, pp.580-593, 1997.
DOI : 10.1109/34.601246

R. I. Hartley and A. Zisserman, Multiple view Geometry in Computer Vision, p.521540518
DOI : 10.1017/CBO9780511811685

R. Hermann and A. J. Krener, Nonlinear Controllability and Observability, Transaction On Automatic Control, pp.22-728, 1977.

J. A. Hesch, D. G. Kottas, S. L. Bowman, and S. I. Roumeliotis, Towards Consistent Vision-Aided Inertial Navigation, Int. Workshop on the Algorithmic Foundations of Robotics, 1315.
DOI : 10.1007/978-3-642-36279-8_34

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

E. Jones and S. Soatto, Visual-inertial navigation, mapping and localization: A scalable real-time causal approach, The International Journal of Robotics Research, vol.73, issue.60, pp.407-430, 2011.
DOI : 10.1007/s11263-006-0025-9

J. Kelly and G. Sukhatme, Visual-inertial simultaneous localization, mapping and sensor-to-sensor self-calibration, 2009 IEEE International Symposium on Computational Intelligence in Robotics and Automation, (CIRA), pp.56-79, 2011.
DOI : 10.1109/CIRA.2009.5423178

J. Kim and S. Sukkarieh, Real-time implementation of airborne inertial-SLAM, Robotics and Autonomous Systems, vol.55, issue.1, pp.62-71, 2007.
DOI : 10.1016/j.robot.2006.06.006

D. G. Kottas, J. A. Hesch, S. L. Bowman, and R. S. , On the Consistency of Vision-Aided Inertial Navigation, International Symposium on Experimental Robotics, 2012.
DOI : 10.1007/978-3-319-00065-7_22

M. Lhuillier, Automatic structure and motion using a catadioptric camera, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00091156

M. Li and A. I. Mourikis, Improving the accuracy of EKF-based visual-inertial odometry, 2012 IEEE International Conference on Robotics and Automation, 1418.
DOI : 10.1109/ICRA.2012.6225229

H. C. Longuet-higgins and K. Prazdny, The Interpretation of a Moving Retinal Image, Proceedings of the Royal Society B: Biological Sciences, vol.208, issue.1173, pp.385-397, 1980.
DOI : 10.1098/rspb.1980.0057

H. C. Longuet-higgins, A computer algorithm for reconstructing a scene from two projections, Nature, vol.194, issue.5828, pp.133-135, 1981.
DOI : 10.1038/293133a0

T. Lupton and S. Sukkarieh, Removing scale biases and ambiguity from 6DoF monocular SLAM using inertial, 2008 IEEE International Conference on Robotics and Automation, 2008.
DOI : 10.1109/ROBOT.2008.4543778

T. Lupton and S. Sukkarieh, Visual-Inertial-Aided Navigation for High- Dynamic Motion in Built Environments Without Initial Conditions, Transaction on Robotics, pp.61-76, 2012.

P. R. Macneilage, M. S. Banks, G. C. De-angelis, and D. E. Angelaki, Vestibular Heading Discrimination and Sensitivity to Linear Acceleration in Head and World Coordinates, Journal of Neuroscience, vol.30, issue.27, pp.9084-9094, 2010.
DOI : 10.1523/JNEUROSCI.1304-10.2010

A. Martinelli, State Estimation Based on the Concept of Continuous Symmetry and Observability Analysis: The Case of Calibration, IEEE Transactions on Robotics, vol.27, issue.2, pp.239-255, 2011.
DOI : 10.1109/TRO.2011.2109210

URL : https://hal.archives-ouvertes.fr/hal-00578795

A. Martinelli, Closed-form solution for attitude and speed determination by fusing monocular vision and inertial sensor measurements, 2011 IEEE International Conference on Robotics and Automation, 2011.
DOI : 10.1109/ICRA.2011.5980081

URL : https://hal.archives-ouvertes.fr/hal-00568638

A. Martinelli, Vision and IMU Data Fusion: Closed-Form Solutions for Attitude, Speed, Absolute Scale, and Bias Determination, IEEE Transactions on Robotics, vol.28, issue.1, pp.44-60, 2012.
DOI : 10.1109/TRO.2011.2160468

URL : https://hal.archives-ouvertes.fr/hal-00743262

A. Martinelli, Resolvability of Visual-Inertial Structure from Motion in Closedform, INRIA technical Report, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00735826

A. Martinelli, Closed-Form Solution of Visual-Inertial Structure from Motion, International Journal of Computer Vision, vol.26, issue.6, 2013.
DOI : 10.1007/s11263-013-0647-7

URL : https://hal.archives-ouvertes.fr/hal-00905881

D. M. Merfeld, L. Zupan, and R. J. Peterka, Humans use internal models to estimate gravity and linear acceleration, Nature, vol.398, issue.6728, pp.615-618, 1999.
DOI : 10.1038/19303

L. Mirsky, Introduction to Linear Algebra, The Mathematical Gazette, vol.49, issue.367, 1990.
DOI : 10.2307/3614275

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

A. I. Mourikis, N. Trawny, S. I. Roumeliotis, A. Johnson, A. Ansar et al., Vision-Aided Inertial Navigation for Spacecraft Entry, Descent, and Landing, IEEE Transactions on Robotics, vol.25, issue.2, pp.264-280, 2009.
DOI : 10.1109/TRO.2009.2012342

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.756-770, 2004.
DOI : 10.1109/TPAMI.2004.17

D. Nistér, Preemptive ransac for live structure and motion estimation, Machine Vision and Applications, pp.321-329, 2005.

G. Quian, Q. Zheng, and R. Chellappa, Reduction of inherent ambiguities in structure from motion problem using inertial data, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), 2000.
DOI : 10.1109/ICIP.2000.900930

D. Scaramuzza, 1-Point-RANSAC Structure from Motion for Vehicle-Mounted Cameras by Exploiting Non-holonomic Constraints, International Journal of Computer Vision, vol.60, issue.1, pp.74-85, 2011.
DOI : 10.1007/s11263-011-0441-3

D. Strelow and S. Singh, Motion Estimation from Image and Inertial Measurements, The International Journal of Robotics Research, vol.23, issue.12, 2004.
DOI : 10.1177/0278364904045593

J. Tardif, Y. Pavlidis, and K. Daniilidis, Monocular visual odometry in urban environments using an omnidirectional camera, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008.
DOI : 10.1109/IROS.2008.4651205

C. Troiani, A. Martinelli, C. Laugier, and D. Scaramuzza, 1-Point-based monocular motion estimation for computationally-limited micro aerial vehicles, 2013 European Conference on Mobile Robots
DOI : 10.1109/ECMR.2013.6698813

URL : https://hal.archives-ouvertes.fr/hal-00909626

M. Veth and J. Raquet, Fusing Low-Cost Image and Inertial Sensors for Passive Navigation, Navigation, vol.Vol II, issue.6, 2007.
DOI : 10.1002/j.2161-4296.2007.tb00391.x

S. Weiss, D. Scaramuzza, and R. Siegwart, Monocular-SLAM-based navigation for autonomous micro helicopters in GPS-denied environments, Journal of Field Robotics, vol.22, issue.1, 2011.
DOI : 10.1002/rob.20412

. S. Weiss, Vision Based Navigation for Micro Helicopters, Diss. ETH No, 20305.

M. Wexler, F. Panerai, I. Lamouret, and J. Droulez, Self-motion and perception of stationary objects, Nature, vol.409, issue.6816, pp.85-88, 2001.
DOI : 10.1038/35051081

URL : https://hal.archives-ouvertes.fr/hal-00000019

O. J. Woodman, An introduction to inertial navigation, p.696, 2007.