Journal of Convergence for Information Technology (융합정보논문지)

Convergence Society for SMB (중소기업융합학회)
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A Study on Automatic Precision Landing for Small UAV's Industrial Application

소형 UAV의 산업 응용을 위한 자동 정밀 착륙에 관한 연구

  • Kim, Jong-Woo (Pixoneer) ;
  • Ha, Seok-Wun (ERI, Dept. of Aerospace & Software Eng., Gyeongsang National University) ;
  • Moon, Yong-Ho (ERI, Dept. of Aerospace & Software Eng., Gyeongsang National University)
  • 김종우 ((주)픽소니어) ;
  • 하석운 (경상대학교 항공우주및소프트웨어공학과) ;
  • 문용호 (경상대학교 항공우주및소프트웨어공학과)
  • Received : 2017.05.29
  • Accepted : 2017.06.20
  • Published : 2017.06.30
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Abstract

In almost industries, such as the logistics industry, marine fisheries, agriculture, industry, and services, small unmanned aerial vehicles are used for aerial photographing or closing flight in areas where human access is difficult or CCTV is not installed. Also, based on the information of small unmanned aerial photographing, application research is actively carried out to efficiently perform surveillance, control, or management. In order to carry out tasks in a mission-based manner in which the set tasks are assigned and the tasks are automatically performed, the small unmanned aerial vehicles must not only fly steadily but also be able to charge the energy periodically, In addition, the unmanned aircraft need to land automatically and precisely at certain points after the end of the mission. In order to accomplish this, an automatic precision landing method that leads landing by continuously detecting and recognizing a marker located at a landing point from a video shot of a small UAV is required. In this paper, it is shown that accurate and stable automatic landing is possible even if simple template matching technique is applied without using various recognition methods that require high specification in using low cost general purpose small unmanned aerial vehicle. Through simulation and actual experiments, the results show that the proposed method will be made good use of industrial fields.

최근 군수 산업, 해양수산업, 농업, 공업, 서비스 등의 거의 모든 산업 분야에서는 소형 무인항공기를 사람이 접근하기 힘들거나 CCTV가 설치되지 않은 영역에 대해 공중 촬영이나 근접 비행 등에 활용하고 있다. 또한 소형 무인기 촬영 정보를 토대로 감시나 통제, 또는 관리를 효율적으로 수행하기 위한 응용 연구가 활발하게 이루어지고 있다. 일련의 설정된 작업을 부여하고 자동으로 그 임무를 수행하도록 하는 임무 기반 형태의 작업을 수행하기 위해서는 소형 무인항공기가 안정적으로 비행해야 할 뿐만 아니라 일정시간마다 에너지를 충전할 수 있어야 하며, 또한 무인항공기가 임무 종료 후에는 특정 지점에 자동으로 그리고 정밀하게 착륙해야 할 필요가 있다. 이를 위해서는 소형 무인항공기 자체에서 촬영하는 동영상으로부터 착륙 지점에 설치되어 있는 마커를 탐지하고 인식하는 과정을 통해 착륙을 유도하는 자동 정밀 착륙 방법이 필요하며, 본 논문에서는 저가의 범용 소형 무인비행체를 사용함에 있어서 고 사양을 요구하는 다른 여러 가지 인식 기법들을 사용하지 않고 단순한 탬플릿 매칭 기법을 적용하여서도 정밀하고 안정된 자동 착륙이 가능함을 나타내고, 시뮬레이션과 실제 실험을 통해서 수 센티미터 이내의 오차를 보이는 정밀 착륙이 가능하며, 이는 산업 현장에 유용하게 활용될 수 있음을 보이고자 한다.

Keywords

References

  1. K. E. Wenzel and Masselli, "Automatic Take Off, Tracking and Landing of a Miniature UAV on a Moving Carrier Vehicle," Journal of Intelligent & Robotic Systems, Vol. 61, No. 1, pp. 221-238. 2011. DOI : 10.1007/s10846-010-9473-0
  2. J. M. Roberts, P. I. Corke and G. Buskey, "Low-cost flight control system for a small autonomous helicopter," Proceedings of the IEEE International Conference on Robotics and Automation, Vol. 1, pp. 546-551, 2003. DOI : 10.1109/robot.2003.1241651
  3. H. Cheng, Y. Chen, X. Li and W. S. Wong, "Autonomous takeoff, tracking and landing of a UAV on a moving UGV using onboard monocular vision," Proceedings of the Chinese Control Conference (CCC), pp. 5895-5901, 2013.
  4. S. Wang, Z. Y. Zhen, F. G. Zheng and X. H. Wang, "Design of autonomous flight control system for small-scale UAV," Proceedings of the IEEE Chinese Guidance, Navigation and Control Conference(CGNCC), 2014. DOI : 10.1109/cgncc.2014.7007468
  5. D. Shen, H. L. Zhang, W. Yu, C. Lu, G. S. Chen, S. X. Wei, Erik P. Blasch and K. Pham, "Scheduling methods for unmanned aerial vehicle based delivery systems," Proceedings of the IEEE/AIAA 33rd, Digital Avionics Systems Conference(DASC), 2014. DOI : 10.1109/dasc.2014.6979640
  6. D. Fitzgerald, R. Walker and D.Campbell, "A Vision Based Forced Landing Site Selection System for an Autonomous UAV," IEEE Intelient Sensors, Sensor Networks and Information Processing, pp. 397-402, 2015. DOI : 10.1109/issnip.2005.1595612
  7. H. J. Mun and G. H. Choi, “Countermeasure to Underlying Security Threats in IoT Communication,” Journal of Convergence for Information Technology, Vol. 6, No. 2, pp. 37-44, Jun. 2016. DOI : 10.22156/cs4smb.2016.6.2.037
  8. Eugene Rhee, “Security Algorithm for Vehicle Type Recognition,” Journal of Convergence for Information Technology, Vol. 7, No. 2, pp. 77-82, Apr. 2017. https://doi.org/10.22156/CS4SMB.2017.7.2.077
  9. Wikipedia, https://en.wikipedia.org/wiki/, 2017. 6.
  10. X. D. Chen, S. K. Phang, M. Shan and B. M. Chen, "System integration of a vision-guided UAV for autonomous landing on moving platform," Proceedings of the IEEE International Conference on Control and Automation (ICCA), 2016. DOI : 10.1109/icca.2016.7505370
  11. S. P. Yang and Y. Z. Wang, "Research on visual navigation technology of unmanned aerial vehicle landing," Proceedings of the IEEE International Conference on Information and Automation, 2013. DOI : 10.1109/ICInfA.2013.6720343
  12. Wikipedia, "Scale-invariant feature transform," https://en.wikipedia.org/wiki/, 2017. 6.
  13. S. Saripalli, J. F. Montgomery and G. S. Sukhatme, "Vision-based Autonomous Landing of an Unmanned Aerial Vehicle," IEEE Robotics and Automation, 2002. DOI : 10.1109/robot.2002.1013656
  14. Miguel A. Olivares-Mendez, Somasundar Kannan, and Holger Voos, "Vision-based Fuzzy Control Autonomous Landing with UAVs: From V-REP to Real Experiments," Proceedings of the 23rd Mediterranean Conference on Control and Automation, 2015. DOI : 10.1109/med.2015.7158723
  15. W. D. Ding, J. L. Wang and A. Almagblie, "Adaptive Filter Design for UAV Navigation with GPS/INS/Optic Flow Integration," Proceedings of the International Conference on Electrical and Control Engineering, 2010. DOI : 10.1109/icece.2010.1117