Color-Based Object Tracking For Unmanned Aerial Vehicles

Cilt: 5 Sayı: 1 1 Haziran 2015
  • Anıl Sezgin
  • Sırma Yavuz
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Color-Based Object Tracking For Unmanned Aerial Vehicles

Abstract

Quadrotor has a huge advantage to classical unmanned aerial vehicles (UAV) since it performs vertical take-off and landing (VTOL) with high maneuverability, which is why it has been worked on by many researchers in recent years. Thanks to VTOL ability, it can be used in rugged and limited terrain without the need of long runways for take-off and landing. In this study, the structure and dynamics of UAVs will be examined and a software will be developed to control a Quadrotor. With this control station, the UAV will be remote controlled, the autonomous missions will be tracked and the vehicles status when it is airborne or out of sight will be monitored. Thus the UAV technology developed for military intentions will be able to be used in the search and rescue field

Keywords

Kaynakça

  1. J. -D. Nicoud ve J. -C. Zufferey, “Toward indoor flying robots”, IEEE/ RSJ International Conference on Intelligent Robots and Systems (Volume:1), 2002.
  2. L. Mejias, P. Campoy, K. Usher, J. Roberts ve P. Corke, “Two Seconds to Touchdown - Vision-Based Controlled Forced Landing”, IEEE/ RSJ International Conference on Intelligent Robots and Systems, 2006.
  3. S. Zingg, D. Scaramuzza, S. Weiss ve R. Siegwart, “MAV navigation through indoor corridors using optical flow”, IEEE International Conference on Robotics and Automation (ICRA), 2010.
  4. G. P. Tournier, M. Valenti, J. P. How ve E. Feron, “Estimation and Control of a Quadrotor Vehicle Using Monocular Vision and Moire Patterns”, Navigation and Control Conference and Exhibit, 2006.
  5. T. W. Danko, A. Kellas ve P. Y. Oh, “Robotic rotorcraft and perch- and-stare: sensing landing zones and handling obscurants”, Proceedings of the 12th International Conference on Advanced Robotics., 2005.
  6. S. J. Morris, “Design and flight test results for micro-sized fixed-wing and VTOL aircraft”, Proceedings of the First International Conference for Emerging Technologies of Micro Air Vehicles, Atlanta, 1997.
  7. S. Piskorski, N. Brulez, P. Eline ve F. D’Haeyer, “AR Drone Developer Guide SDK 2.0”, Parrot, 2012.
  8. N. Dijkshoorn, “Simultaneous Localization and Mapping with AR Drone”, Universiteit van Amsterdam, 2012.

Ayrıntılar

Birincil Dil

İngilizce

Konular

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Bölüm

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Yazarlar

Anıl Sezgin Bu kişi benim

Sırma Yavuz Bu kişi benim

Yayımlanma Tarihi

1 Haziran 2015

Gönderilme Tarihi

1 Haziran 2015

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2015 Cilt: 5 Sayı: 1

Kaynak Göster

APA
Sezgin, A., & Yavuz, S. (2015). Color-Based Object Tracking For Unmanned Aerial Vehicles. International Journal of Electronics Mechanical and Mechatronics Engineering, 5(1), 881-890. https://izlik.org/JA22JW48HL