

Localization of MAV in GPS-Denied Environment Using Embedded Stereo Camera
Abstract
References
K. Nonami,F. Kendoul,S.Suzuki,W.Wang,D. Nakazawa, Autonomous Flying Robots, Springer Verlag Japan, March 2010
G. Barrows, C. Neely and K. Miller, Optic flow ssensors for MAV navigation, in Fixed and Flapping Wing Aerodynamics for Micro Air Vehicle Applications, ser. Progress in Astronautics and Aeronautics, T. J. Mueller, Ed. AIAA vol. 195 pp. 557-554,2001
A.Beyeler, C. Mattiussi, J.C. Zufferey and D. Floreano, Vision-based Altitude and Pitch Estimation for Ultra-light Indoor Microflyers, Proceedings of IEEE International Conference on Robotics and Automation, 2006.
J. Chahl, M. Srinivasan, H. Zhang, Landing stratergies in honeybees and applications to uninhabited airborne vehicles, The International Journal of Robotics Research, vol. 23, no. 2, pp. 101-110,2004.
W. Green, P. Oh, K. Sevcik, G. Barrows, Autonomous landing for indoor flying robots using optic flow, ASME International Mechanical Engineering Congress and Exposition, vol. 2, pp. 1347-1352, 2003.
P. Garcia-Padro, G. Sukhatme, J. Montgomery, Towards vision based safe landing for an autonomous helicopter, Robotics and Autonomous System, 2000
S. Saripalli, J. Montgomery, and G. Sukhtame, Visually-guided landing of an unmanned aerial vehicle,IEEE Transactions on Robotics and Automation, vol. 19, no. 3, pp. 371-381, June 2003.
C. Sharp, O. Shakernia, S. Sastry, A vision system for landing an unmanned aerial vehicle, Proceedings of IEEE International Conference
on Robotics and Automation, 2001
F. Kendoul, I. Fantoni,K. Nonami, Optic flow-based vision system for autonomous 3D localizaation and control of small aerial vehicles Robotics and Autonomous Systems no. 57, pp. 591-602, 2009.
I.K. Jung and S. Lacroix, High resolution terrain mapping using low altitude aerial stereo imagery, Proceedings of IEEE International Conference on Computer Vision, 2003.
M. Sanfourche, G. Besnarai and S. Foliguet, Height estimation using aerial side looking image sequences, ISPRS, Vol. XXXIV, Part 3/W8, Munich 2003.
R.T. Collins, A space-sweep approach to true multi image matching, Proceedings of IEEE Computer Vision and Pattern Recognition, 1996
D. Eynard, P. Vasseur, C. Demonceaux, V. Fr´emont, UAV altitude estimateion by mixed stereoscopic vision, Proceedings of IEEE International Conference on Intelligent Robots and Systems, Taiwan, 2010.
P. Campoy, J. Correa, I.Mondrag´on, C.Mart´ı.nez, L. M.Olivares, and J.Artieda, Computer vision onboard uavs for civilian tasks, Journal Intelligent Robot System, No. 54, pp. 105-135, 2009.
I. Nikolos, N. Tsourveloudis, and K. Valavanis, Evolutionary algorithm based path planning for multiple UAV cooperation, ser. International Series on Microprocessor-Based and Intelligent Systems Engineering, Springer Netherlands, 2007.
I. Nikolos, N. Tsourveloudis, and K. Valavanis, Multi-UAV experiments: application for forest fires, ser. Springer Tracts in Advanced
Robotics,Springer Berlin, 2007.
A. Puri, K. Valavanis, and M. Kontisis, Statistical profile generation for traffic monitoring using real-time uav based video data, Mediteranean Conference on Control and Automation (MED’07).
A GPU Implementation of Scale Invariant Feature Transform (SIFT), 2007 Available online: http://www.cs.unc.edu/ccwu/siftgpu/
(accessed on September 2011)
D.G. Lowe, Object Recognition from Local Scale-Invariant Features, International Conference of Computer Vision, Corfu Greece, September 1997;pp. 1150-1157
G. Bradski and A. Kaehler, Learning OpenCV-Computer Vision with the OpenCV Library. O’Reilly, September 2008.
J. Barron, D. Fleet, and S.Beauchemin, Performance of optical flow techniques,in International Journal of Computer Vision, vol. 12, no. 1, pp. 43-77, 1994.
DOI: http://dx.doi.org/10.21535%2FProICIUS.2011.v7.336
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