BibTex RIS Kaynak Göster

Color-Based Object Tracking For Unmanned Aerial Vehicles

Yıl 2015, Cilt: 5 Sayı: 1, 881 - 890, 01.06.2015

Öz

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

Kaynakça

  • J. -D. Nicoud ve J. -C. Zufferey, “Toward indoor flying robots”, IEEE/ RSJ International Conference on Intelligent Robots and Systems (Volume:1), 2002.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • S. Piskorski, N. Brulez, P. Eline ve F. D’Haeyer, “AR Drone Developer Guide SDK 2.0”, Parrot, 2012.
  • N. Dijkshoorn, “Simultaneous Localization and Mapping with AR Drone”, Universiteit van Amsterdam, 2012.
  • P.-J. Bristeau, F. Callou, D. Vissière ve N. Petit, “The navigation and control technology inside the AR.Drone micro UAV”, 18th IFAC World Congress, Milano, 2011.
  • M. Monajjemi, “ARDrone Autonomy”, 23 04 2015. Available: http://wiki.ros.org/ardrone_autonomy.
  • H. Huang ve J. Sturm, “tum_simulator Package”, 12 05 2014. Available: http://wiki.ros.org/tum_simulator.
  • J. W. Shipman, “HSV Color Model”, 16 10 2012. Available: http://www. nmt.edu/tcc/help/pubs/colortheory/ web/hsv.html.
  • E. Altuğ, “Vision based control of unmanned aerial vehicles with applications to an autonomous quadrotor, PhD thesis”, University of Pennsylvania, 2003.
  • J. Leishman, “Principles of Helicopter Aeordynamics”, Cambridge University Press, 2000.
Yıl 2015, Cilt: 5 Sayı: 1, 881 - 890, 01.06.2015

Öz

Kaynakça

  • J. -D. Nicoud ve J. -C. Zufferey, “Toward indoor flying robots”, IEEE/ RSJ International Conference on Intelligent Robots and Systems (Volume:1), 2002.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • S. Piskorski, N. Brulez, P. Eline ve F. D’Haeyer, “AR Drone Developer Guide SDK 2.0”, Parrot, 2012.
  • N. Dijkshoorn, “Simultaneous Localization and Mapping with AR Drone”, Universiteit van Amsterdam, 2012.
  • P.-J. Bristeau, F. Callou, D. Vissière ve N. Petit, “The navigation and control technology inside the AR.Drone micro UAV”, 18th IFAC World Congress, Milano, 2011.
  • M. Monajjemi, “ARDrone Autonomy”, 23 04 2015. Available: http://wiki.ros.org/ardrone_autonomy.
  • H. Huang ve J. Sturm, “tum_simulator Package”, 12 05 2014. Available: http://wiki.ros.org/tum_simulator.
  • J. W. Shipman, “HSV Color Model”, 16 10 2012. Available: http://www. nmt.edu/tcc/help/pubs/colortheory/ web/hsv.html.
  • E. Altuğ, “Vision based control of unmanned aerial vehicles with applications to an autonomous quadrotor, PhD thesis”, University of Pennsylvania, 2003.
  • J. Leishman, “Principles of Helicopter Aeordynamics”, Cambridge University Press, 2000.
Toplam 14 adet kaynakça vardır.

Ayrıntılar

Diğer ID JA64JC95TG
Bölüm Makaleler
Yazarlar

Anıl Sezgin Bu kişi benim

Sırma Yavuz Bu kişi benim

Yayımlanma Tarihi 1 Haziran 2015
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.