S. Ahrens, D. Levine, G. Andrews, and J. P. How, Vision-based guidance and control of a hovering vehicle in unknown, GPS-denied environments, 2009 IEEE International Conference on Robotics and Automation, 2009.
DOI : 10.1109/ROBOT.2009.5152680

L. Armesto, J. Tornero, and M. , 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

M. Blosch, S. Weiss, D. Scaramuzza, and R. Siegwart, Vision based MAV navigation in unknown and unstructured environments, 2010 IEEE International Conference on Robotics and Automation, 2010.
DOI : 10.1109/ROBOT.2010.5509920

M. Bryson and S. Sukkarieh, Building a Robust Implementation of Bearing-only Inertial SLAM for a UAV, Journal of Field Robotics, vol.15, issue.1-2, pp.113-143, 2007.
DOI : 10.1002/rob.20178

P. Corke, J. Lobo, and J. Dias, An Introduction to Inertial and Visual Sensing, The International Journal of Robotics Research, vol.26, issue.6, pp.519-535, 2007.
DOI : 10.1177/0278364907079279

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.93.5523

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, 2007.
DOI : 10.1177/0278364907079903

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

E. Jones, A. Vedaldi, and S. Soatto, Inertial Structure From Motion with Autocalibration, Proc. IEEE Int'l Conf. Computer Vision Workshop on Dynamical Vision, 2007.

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, 2011.
DOI : 10.1007/s11263-006-0025-9

J. Kelly and G. Sukhatme, Visual-inertial simultaneous localization, mapping and sensor-to-sensor self-calibration, Int, Journal of Robotics Research, 2010.

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

J. Lobo and J. Dias, Relative Pose Calibration Between Visual and Inertial Sensors, The International Journal of Robotics Research, vol.26, issue.6, pp.561-575, 2007.
DOI : 10.1177/0278364907079276

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.379.7850

S. Lupashin, A. Schollig, M. Sherback, and R. , A simple learning strategy for high-speed quadrocopter multi-flips, 2010 IEEE International Conference on Robotics and Automation, 2010.
DOI : 10.1109/ROBOT.2010.5509452

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, Transaction on Robotics (under review). INRIA tech rep

A. I. Mourikis and S. I. Roumeliotis, A Multi-State Constrained Kalman filter for Vision-aided Inertial Navigation, Proc. 2007 IEEE International Conference on Robotics and Automation (ICRA'07), pp.10-14

D. Scaramuzza, A. Martinelli, and R. Siegwart, A toolbox for easy calibrating omnidirectional cameras, IEEE International Conference on Inteligent Robots and Systems, 2006.

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