• 융합보안논문지
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• 제19권4호
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• pp.97-105
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• 2019

니콜라 테슬라에 의해 항공기의 무선제어 가능성이 제시되면서 출현한 무인항공기는 제 1, 2차 세계대전을 통해 항공력의 급속한 발전과 함께 군사, 방산용으로 사용하게 되었다. 2000년대, 무인항공기의 분야가 촬영, 배송, 통신 등 민간분야까지 확대됨에 따라 여러 서비스와 융합되어 활용되고 있다. 하지만, 최근 무인항공기 시스템에서의 통신이나 무인항공기 자체의 보안 취약점을 이용하여 GPS 스푸핑, 전파 교란 공격 등을 시도하는 보안사고가 발생하고 있다. 이에, 안전한 무인항공기의 도입을 위하여 국내에서는 자체 무인항공기 검증 제도인 감항 인증 제도가 마련되었다. 그러나 감항 인증 제도는 무인항공기의 보안성보다는 시험 비행, 설계 및 물리적 구조의 안전성과 인증하는 쪽에 초점이 맞추어져 있다. 보안성 높은 안전한 무인항공기의 도입을 위해 본 논문에서는 무인항공기 시스템 모델을 제안하고 데이터 흐름도를 작성하였다. 작성한 데이터 흐름도를 바탕으로 무인항공기 시스템에서의 위협을 도출하였고, 도출한 위협을 방지할 수 있는 보안기능요구사항을 개발하였다. 제안한 보안기능요구사항을 통해 향후 무인항공기의 안전한 도입을 위한 앞으로의 평가, 검증 기술의 발전 방향을 제시한다.

• International Journal of Aeronautical and Space Sciences
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• 제10권2호
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• pp.140-147
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• 2009

The paper presents the design, development and testing activities of the multi-rotorcraft-based unmanned aerial vehicle at the Center for Unmanned System Studies, Institut Teknologi Bandung (ITB), Indonesia. The multi-rotor system was selected as the design stepping stone for future development of personal aerial vehicle prototypes. A step-by-step design program is conducted to study the technology building blocks and critical issues associated with the design, development and operation of personal aerial vehicles. A number of multi-rotor configurations have been investigated providing basic guidelines for developing a stable unmanned aerial platform. The benefit of the presently selected configuration is highlighted and some preliminary testing results are presented.

• 대한토목학회논문집
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• 제32권2D호
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• pp.129-136
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• 2012

무인항공기(UAV: Unmanned Aerial Vehicle), 헬리콥터, 항공기를 이용하여 실시간 교통자료를 수집하는 항공 기반 차량 검지시스템(ADS: Aerial-Based Vehicle Detection System)에 관한 연구가 미국, 일본, 독일에서 이루어져 왔다. 따라서 본 연구에서는 ADS의 교통자료 수집 시스템으로 활용 가능성을 검토하기 위하여 먼저 ADS에 의하여 수집된 자료가 이미지프로세싱 등 자료추출 기법을 거쳐 통행속도 등 교통정보를 산출할 수 있는 지를 확인하였다. 다음으로는 ADS에 의하여 수집된 자료의 신뢰성 정도가 교통정보 제공에 적합한 지를 확인하였다. 그 결과 ADS는 기존에 상시적으로 실시간 교통정보 제공을 하기 위하여 사용되고 있는 VDS 등을 대체하기에는 기술적 비용적 측면에서 어려움이 있을 것으로 파악되었다. 하지만 재해 발생 등 비반복적 교통상황이 장시간 발생할 경우 비상교통관리대책 등을 세우기 위한 보완적 방안으로 활용할 수 있을 것이다.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2020년도 봄 학술논문 발표대회
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• pp.119-120
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• 2020

Recently, a building fire has occurred due to various influences. Accordingly, we are developing an public safety & security unmanned aerial vehicle for fire prevention and initial response to fire. The public safety & security unmanned aerial vehicle is used to grasp the traffic route to enter the fire engine in the event of a fire in a dense structure and to determine the scale of the fire and the area of danger of collapse around the fire site. In this study, an environmental test of the public safety & security unmanned aerial vehicle's heat resistance was performed in an environment simulating a fire scene.

• 한국항공운항학회지
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• 제30권1호
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• pp.38-43
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• 2022

As the use of unmanned aerial vehicles increases, in order to expand the operability of the unmanned aerial vehicle, it is essential to develop an unmanned aerial vehicle traffic management system, and to establish the system, it is necessary to analyze the integrated navigation performance of the unmanned aerial vehicle to be operated. Integrated navigation performance is affected by various factors such as the type of unmanned aerial vehicle, flight environment, and guidance law algorithm. In addition, since a large amount of flight data is required to obtain high-reliability analysis results, efficient and consistent flight scenarios are required. In this paper, a flight scenario that satisfies the requirements for integrated navigation performance analysis of rotary and fixed-wing unmanned aerial vehicles was designed and verified through flight experiments.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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• pp.216-218
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• 2009

This paper proposes an image processing algorithm to stabilize shaken scenes of UAV(Unmanned Aerial Vehicle) caused by vehicle self-vibration and aerodynamic disturbance. The proposed method stabilizes images by compensating estimated shake motion which is evaluated from global motion. The global motion between two continuous images modeled by 6 parameter warping model is estimated by non-linear square method based on Gauss-Newton algorithm with excluding outlier region. The shake motion is evaluated by subtracting the global motion from aerial vehicle motion obtained by averaging global motion. Experimental results show that the proposed method stabilize shaken scenes effectively.

• 제어로봇시스템학회논문지
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• 제14권12호
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• pp.1253-1259
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• 2008

This paper presents a landing controller and guidance law for net-recovery of fixed-wing unmanned aerial vehicles. A linear quadratic controller was designed using the system identification result of the unmanned aerial vehicle. A pursuit guidance law is applied to guide the vehicle to a recovery net with imaginary landing points on the desired approach path. The landing performance of a pure pursuit guidance, a constant pseudo pursuit guidance, and a variable pseudo pursuit guidance is compared. Numerical simulation using an unmanned aerial vehicle model was performed to verify the performance of the proposed landing guidance law.

• 대한원격탐사학회지
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• 제37권4호
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• pp.747-761
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• 2021

With the increasing application of UAVs in intelligent transportation systems, vehicle detection for aerial images has become an essential engineering technology and has academic research significance. In this paper, a vehicle detection method for aerial images based on the YOLOv4 deep learning algorithm is presented. At present, the most known datasets are VOC (The PASCAL Visual Object Classes Challenge), ImageNet, and COCO (Microsoft Common Objects in Context), which comply with the vehicle detection from UAV. An integrated dataset not only reflects its quantity and photo quality but also its diversity which affects the detection accuracy. The method integrates three public aerial image datasets VAID, UAVD, DOTA suitable for YOLOv4. The training model presents good test results especially for small objects, rotating objects, as well as compact and dense objects, and meets the real-time detection requirements. For future work, we will integrate one more aerial image dataset acquired by our lab to increase the number and diversity of training samples, at the same time, while meeting the real-time requirements.

• 한국태양에너지학회 논문집
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• 제32권spc3호
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• pp.262-268
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• 2012

In the recent research technical solutions have been studied to integrate renewable energy into unmanned aerial vehicles to use it as the main power source. As the weight of the aerial vehicle body is essential for its performance, we consider to use light-weight solar cell technology. Furthermore fuel cells are also integrated create a highly energy-efficient aerial robot. In this paper, construction concept and software design of the tilt-rotor aerial vehicle GAORI is introduced which uses solar cells and fuel cells as power source. The future work direction and prognosis are discussed.

• 대한건축학회논문집:구조계
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• 제35권1호
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• pp.11-19
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• 2019

Recently, with the development of the fourth industrial revolution that has been achieved through the fusion of information and communication technology (ICT), the technologies of AI, IOT, BIG-DATA, it is increasing utilization rate by industry and research and development of application technologies are being actively carried out. Especially, in the case of unmanned aerial vehicles, the construction market is expected to be one of the most commercialized areas in the world for the next decade. However, research on utilization of unmanned aerial vehicles in the construction field in Korea is insufficient. In this study, We have developed a quantitative building inspection method using the unmanned aerial vehicle and presented the protocol for it. The proposed protocol was verified by applying it to existing old buildings, and defect information could be quantified by calculating length, width, and area for each defect. Through this technical research, the final goal is to contribute to the development of safety diagnosis technology using unmanned aerial vehicle and risk assessment technology of buildings in case of disaster such as earthquake.