UAV Autonomous Motion Estimation Methodologies
Anand Abhishek, K. S. Venkatesh
2015
Abstract
Unmanned aerial vehicle(UAV) are widely used for commercial and military purposes. Various computer vision based methodologies are used for aid in autonomous navigation. We have presented an implicit extended square root Kalman filter based approach to estimate the states of an UAV using only onboard camera which can be either used alone or assimilated with the IMU output to enable reliable, accurate and robust navigation. Onboard camera present information rich sensor alternative for obtaining useful information form the craft, with the added benefits of being light weight, small and no extra payload. The craft system model is based on differential epipolar constraint with planar constraint assuming the scene is slowly moving. The optimal state is then estimated using current measurement and defined the system model. Pitch and roll is also estimated from above formulations. The algorithms results are compared with real time data collected from the IMU.
References
- Adiv, G. (July 1985). Determining three-dimensional motion and structure from optical flow generated by several moving objects. IEEE Transactions on pattern analysis and machine intelligence, 7(4):384 - 401.
- Dusha, D., Boles, W., and Walker, R. (Dec. 2007). Attitude estimation for a fixed-wing aircraft using horizon detection and optical flow. In Digital Image Computing Techniques and Applications, Australian Pattern Recognition Society on, pages 485 - 492.
- Grabe, V., Bulthoff, H., and Giordano, P. (2012). Onboard velocity estimation and closed-loop control of a quadrotor uav based on optical flow. In IEEE International Conference on, pages 491-497.
- Jepson, A. D. and Heegar, D. J. (1991). A fast subspace algorithm for recovering rigid motion. In Visual Motion, Proceedings of the IEEE Workshop on, pages 124 - 131.
- Kalman, R. E. (1960). A new approach to linear filtering and prediction problems. 82:35-45.
- Ma, Y., Soatto, S., Kosecka, J., and Sastry, S. (2004). An Invitation to 3-D Vision: From Images to Geometric Models. Springer.
- Oreifej, O., Lobo, N., and Shah, M. (2011). Horizon constraint for unambiguous uav navigation in planar scenes. In Robotics and Automation (ICRA), 2011 IEEE International Conference on, pages 1159-1165.
- Sazdovski, V., Silson, P., and Tsourdos, A. (2010). Attitude determination from single camera vector observations. In Intelligent Systems (IS), 2010 5th IEEE International Conference, pages 49-54.
- Schmid, C., Mohr, R., and Bauckhage, C. (June 2000). Evaluation of interest point detectors. International Journal of Computer Vision, 37(2):151-172.
- Shi, J. and Tomasi, C. (June 1994). Good features to track. In Computer Vision and Pattern Recognition,IEEE Computer Society Conference on, pages 593-600.
- Siouris, G. M. (1993). Aerospace Avionics Systems : A Modern Synthesis. Academic Press Inc.
- Soatto, S., Frezza, R., and Perona, P. (March 1996). Motion estimation via dynamic vision. Automatic Control, IEEE Transactions on, 4(3):393-413.
- Zisserman, A. and Hartley, R. (2004). Multiple View Geometry in Computer Vision. Cambridge University Press.
Paper Citation
in Harvard Style
Abhishek A. and Venkatesh K. (2015). UAV Autonomous Motion Estimation Methodologies . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-091-8, pages 543-550. DOI: 10.5220/0005302805430550
in Bibtex Style
@conference{visapp15,
author={Anand Abhishek and K. S. Venkatesh},
title={UAV Autonomous Motion Estimation Methodologies},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={543-550},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005302805430550},
isbn={978-989-758-091-8},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)
TI - UAV Autonomous Motion Estimation Methodologies
SN - 978-989-758-091-8
AU - Abhishek A.
AU - Venkatesh K.
PY - 2015
SP - 543
EP - 550
DO - 10.5220/0005302805430550