Development of a Vision Recognition System for Unmanned Aerial Helicopter Automatic Landing System

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An embedded vision recognition system is developed for a regular UAH to provide guidance information during hovering and landing. An innovative landing mark has been designed to facilitate the image processing while provide relative heading, height, and coordinate for navigation. The system can provide 30 Hz updating rate to the UAH avionic system. Simulation and real-world tests have shown promising performance and results for future applications.

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1815-1820

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] ADSP-BF561 Blackfin® Processor Hardware Reference, Revision 1. 0, (2005).

Google Scholar

[2] ADSP-BF561 EZ-KIT Lite® Evaluation System Manual, Revision 3. 0, (2006).

Google Scholar

[3] Wen-Hsiang Tsai and Zhi-Fang Yang, Using parallel line information for vision-based landmark location estimation and an application to automatic helicopter landing1, Robotics and Computer Integrated Manufacturing 14, pp.297-306 , (1998).

DOI: 10.1016/s0736-5845(98)00007-6

Google Scholar

[4] Andrea Cesetti, Emanuele Frontoni, Adriano Mancini, Primo Zingaretti and Sauro Longhi, Vision-based Autonomous Navigation and Landing of an Unmanned Aerial Vehicle using Natural Landmarks, 17th Mediterranean Conference on Control & Automation, (2009).

DOI: 10.1109/med.2009.5164661

Google Scholar

[5] Srikanth Saripalli, James F. Montgomery, and Gaurav S. Sukhatme, Visually Guided Landing of an Unmanned Aerial Vehicle, IEEE Transactions on Robotics and Automation, Vol. 19, No. 3, (2003).

DOI: 10.1109/tra.2003.810239

Google Scholar

[6] G. F. Nsogo, K. Kith, B. J. van Wyk and M.A. van Wyk, Robust Helipad Detection Algorithm, AFRICON2007, pp.1-7, (2007).

DOI: 10.1109/afrcon.2007.4401634

Google Scholar

[7] Courtney S. Sharp, Omid Shakernia and S. Shankar Sastry, A Vision System for Landing an Unmanned Aerial Vehicle, Robotics and Automation, 2001. Proceedings ICRA. IEEE International Conference on Vol. 2, pp.1720-1727, (2001).

DOI: 10.1109/robot.2001.932859

Google Scholar

[8] Cui Xu, Liankui Qiu, Ming Liu, Bin Kong and Yunjian Ge, Stereo Vision based Relative Pose and Motion Estimation for Unmanned Helicopter Landing, Information Acquisition IEEE International Conference on, pp.31-36, (2006).

DOI: 10.1109/icia.2006.306029

Google Scholar

[9] Sungsik Hun and David Hyunchui Shim, A vision-based landing system for small unmanned aerial vehicles using an airbag, Control Engineering Practice 18, pp.812-823, (2010).

DOI: 10.1016/j.conengprac.2010.05.003

Google Scholar

[10] National Television System Committee, Report and Reports of Panel No. 11, 11-A, 12-19, with Some supplementary references cited in the Reports, and the Petition for adoption of transmission standards for color television before the Federal Communications Commission, n. p., 1953, 17 v. LC Control No.: 54021386, USA, 1951–(1953).

Google Scholar

[11] Recommendation ITU-R BT. 656-5, Interface for digital component video signals in 525-line and 625-line television systems operating at the 4: 2: 2 level of Recommendation ITU-R BT. 601, International Telecommunication Union, Dec. (2007).

DOI: 10.3403/30176720u

Google Scholar