Experimental evaluation of a real-time GPU-based pose estimation system for autonomous landing of rotary wings UAVs-Reference-Cited by-同舟云学术

Experimental evaluation of a real-time GPU-based pose estimation system for autonomous landing of rotary wings UAVs

Published:2018-05 Issue:2 Volume:16 Page:145-159
ISSN:2095-6983
Container-title:Control Theory and Technology
language:en
Short-container-title:Control Theory Technol.

Author:

Benini Alessandro,Rutherford Matthew J.,Valavanis Kimon P.

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Aerospace Engineering,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11768-018-7297-9.pdf

Reference24 articles.

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2. A. Gautam, P. B. Sujit, S. Saripalli. A survey of autonomous landing techniques for UAVs. International Conference on Unmanned Aircraft Systems (ICUAS), Orlando: IEEE, 2014: 1210–1218. DOI 10.1109/ICUAS.2014.6842377.

3. M. F. R. Lee, S. F. Su, J. W. E. Yeah, et al. Autonomous landing system for aerial mobile robot cooperation. The Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), Kitakyushu: IEEE, 2014: 1306–1311. DOI 10.1109/SCIS-ISIS.2014.7044826.

4. X. Guan, H. Bai. A GPU accelerated real-time self-contained visual navigation system for UAVs. IEEE International Conference on Information and Automation, Shenyang: IEEE, 2012: 578–581. DOI 10.1109/ICInfA.2012.6246879.

5. S. Yang, S. A. Scherer, K. Schauwecker, et al. Onboard monocular vision for landing of an MAV on a landing site specified by a single reference image. International Conference on Unmanned Aircraft Systems (ICUAS), Atlanta: IEEE, 2013: 318–325. DOI 10.1109/ICUAS.2013.6564704.

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