• Title/Summary/Keyword: 회전익무인기

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Application Technique of Spatial Information For Cultural Property Protective Zone (명승 문화재 지역의 공간정보 활용 기법에 대한 기초연구)

  • Lee, Won-Ho;Kim, Jae-Ung;Kim, Dong-Hyun;Shin, Hyun-Sil
    • Proceedings of the Korea Contents Association Conference
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    • 2014.11a
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    • pp.73-74
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    • 2014
  • 일정한 면적을 가지고 있는 문화재지역은 문화재보호구역에 대한 관리가 중요하다. 본 연구에서는 회전익무인기를 이용하여 명승지 내부의 경로를 따라 경로비행 루트를 설정하고 정사투영촬영된 사진과 연속지적자료의 중첩을 통해 대단위 면적으로 구성되는 문화재내부의 지적별 공간정보를 확인할 수 있었다. 회전익무인기의 주기적인 활용을 통해 문화재지역에 대한 지속적인 모니터링과 향후 역사문화환경보존지역의 현상변경 관리 등에도 널리 활용될 수 있을 것으로 판단된다.

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A Study on Airworthiness Certification Standards for Military Small Rotary-Wing Unmanned Aerial Vehicles (군용 소형 회전익무인기 감항인증기준에 대한 연구)

  • Yang, Junmo;Lee, Sangchul
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.29 no.2
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    • pp.78-83
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    • 2021
  • In modern society, the use of small rotary-wing unmanned aerial vehicles such as drones is increasing. As the military considers tactics using drones, demand for drones is increasing. However, there is still no airworthiness certification standard for drones for safety. In this paper, we proposed airworthiness certification standards for small rotorcraft unmanned aerial vehicles based on CS-LURS in Europe and STANG-4703, 4738 (draft) of the North Atlantic Treaty Organization. In addition, airworthiness certification standards have been strengthened through the case of unmanned aerial vehicle accidents in operation by the Korean military. The airworthiness certification standards for small rotary-wing unmanned aerial vehicles will be supplemented through a demonstration project.

Simplified Dynamic Modeling of Small-Scaled Rotorcraft (축소형 회전익 항공기의 간략화된 동적 모델링)

  • Lee, Hwan;Lee, Sang-Kee
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.33 no.8
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    • pp.56-64
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    • 2005
  • It is prerequisite that we have to fomulate the nonlinear mathematical modeling to design the guidance and control system of rotorcraft-based unmanned aerial vehicle using a small-scaled commercial helicopter. The small-scaled helicopters are very different from the full-scale helicopters in dynamic behavior such as high rotation speed and high frequency dynamic characteristics. In this paper, the formulation of the mathematical model of the small-scaled helicopter to minimize the complexity is presented by component and source build-up approach. It is linearized at the trim condition of hovering and forward flight and analyzed the flight modes. The results of this approach have general trends but a little difference. To verify this approach, it is necessary to compare this theoretical model with experimental results by system identification using flight test as a next research topic.

Estimation of Fresh Weight, Dry Weight, and Leaf Area Index of Soybean Plant using Multispectral Camera Mounted on Rotor-wing UAV (회전익 무인기에 탑재된 다중분광 센서를 이용한 콩의 생체중, 건물중, 엽면적 지수 추정)

  • Jang, Si-Hyeong;Ryu, Chan-Seok;Kang, Ye-Seong;Jun, Sae-Rom;Park, Jun-Woo;Song, Hye-Young;Kang, Kyeong-Suk;Kang, Dong-Woo;Zou, Kunyan;Jun, Tae-Hwan
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.21 no.4
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    • pp.327-336
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    • 2019
  • Soybean is one of the most important crops of which the grains contain high protein content and has been consumed in various forms of food. Soybean plants are generally cultivated on the field and their yield and quality are strongly affected by climate change. Recently, the abnormal climate conditions, including heat wave and heavy rainfall, frequently occurs which would increase the risk of the farm management. The real-time assessment techniques for quality and growth of soybean would reduce the losses of the crop in terms of quantity and quality. The objective of this work was to develop a simple model to estimate the growth of soybean plant using a multispectral sensor mounted on a rotor-wing unmanned aerial vehicle(UAV). The soybean growth model was developed by using simple linear regression analysis with three phenotypic data (fresh weight, dry weight, leaf area index) and two types of vegetation indices (VIs). It was found that the accuracy and precision of LAI model using GNDVI (R2= 0.789, RMSE=0.73 ㎡/㎡, RE=34.91%) was greater than those of the model using NDVI (R2= 0.587, RMSE=1.01 ㎡/㎡, RE=48.98%). The accuracy and precision based on the simple ratio indices were better than those based on the normalized vegetation indices, such as RRVI (R2= 0.760, RMSE=0.78 ㎡/㎡, RE=37.26%) and GRVI (R2= 0.828, RMSE=0.66 ㎡/㎡, RE=31.59%). The outcome of this study could aid the production of soybeans with high and uniform quality when a variable rate fertilization system is introduced to cope with the adverse climate conditions.