• Journal of IKEEE
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• v.25 no.4
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• pp.703-709
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• 2021

As drone technology advances, the risks of drones are increasing, then technology to detect drones is becoming important. In this thesis, it was verified that miniaturized and lightweighted active array antenna could be used for radar system to detect drones in reality. The transmit-receive module was designed in the form of tile-type to simplify interconnections between devices. The waveform generation module and the down conversion module were miniaturized to include in one body too. As a result of verifing the detection performance through test, it was confirmed that the detection range was over 3.7Km.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• fall
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• pp.9-12
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• 2021

드론 Photogrammetry는 높은 기술적 활용가치가 있는 기술로서, 결과물로 생성하는 3D 디지털 공간정보 모델이 시설물의 비육안 안전점검 및 진단에 활용될 수 있을 뿐만 아니라 디지털 트윈 구축을 위한 가장 기초적이고 핵심적인 수치 데이터를 제공하기 때문이다. 본 연구에서는 드론 Photogrammetry의 적정 품질을 구현하기 위한 임무비행의 다양한 영향인자에 대해 고찰하였다. K-water연구원 누수탐사실습장을 대상으로 드론 사진 촬영 시 비행고도, 비행속도, 중첩도, 카메라 Pitch각의 영향에 대해 연구를 수행하였다. 본 연구에서 비행시간에 영향을 미치는 인자로서 비행고도, 중첩도, 비행속도의 순으로 중요도가 있음을 알 수 있었다. 드론 임무 비행 시 후처리 결과에 가장 큰 영향을 미치는 인자는 중첩도로 나타났다. 중첩도 60% 임무비행은 3D 모델의 geometry 왜곡이 큰 편으로 나타났다. 비행 고도는 GSD (Ground Sampling Distance)와 직접 연계되므로 중요하며, 낮은 고도일수록 높은 품질의 모델링이 가능하다. April Tag를 통한 지상기준점 자동 패턴 인식 기능은 후처리 과정에서 시간 절약이 가능하여 유용하였다. 비행속도에 의한 결과물의 품질은 큰 차이가 없었으나, 수직 구조물의 모서리 부분에 다소 차이가 있었다. 짐벌 Pitch각도에 의한 정사영상 품질의 차이는 크지 않았으나 수직구조물과 평면적 구조물에 따라 각기 다른 촬영각도를 적용하는 것이 바람직하다. 본 연구성과는 향후 보다 다양한 환경에서의 데이터 수집을 통해 최적 디지털 현실 모델링에 기여할 것으로 판단된다.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.425-430
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• 2024

This paper analyzes the characteristics of various types of unmanned aerial vehicles (drones) for military use and how each type can be utilized in military operations. The scope of the study focuses on the structural features, advantages and disadvantages, and military application cases of fixed-wing, rotary-wing, hybrid, and swarm drones. It also discusses the development direction of drone technology, changes in military strategy, opportunities, and challenges. The results show that each type of drone plays a crucial role in various military operations such as reconnaissance, surveillance, strike, logistics, search, and rescue. With advancements in artificial intelligence, autonomous flight, and swarm technologies, the range of drone applications is expected to expand further. However, ensuring the safety and ethics of drone operations and establishing international norms have emerged as major challenges.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.3
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• pp.491-498
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• 2018

As unmanned aerial vehicle(UVA), drone means a flying object that could aviate the route entered by a program in advance or remotely-controlled when a pilot is not on board. Drone that has been initially developed for the military purpose is currently used for diverse areas such as agricultural industry, leisure activity, logistics service, and life-saving area. Out of these areas, the shooting drone equipped with a camera is actively used for diverse image contents production areas including film and broadcasting area. This paper examines the characteristics of drone for the purpose of shooting, and also handles the shooting techniques using drone. Especially, this study aims to suggest and discuss the methods to shoot diverse camera working used by the existing image shooting with the use of drone after examining the operation of shooting drone used for the image contents production area.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.173-174
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• 2021

드론은 군사, 촬영, 배송, 인명구조, 조사, 단속 분야 등 산업 전반적인 영역에 활용되고 있다. 그중 촬영용 드론은 영상제작에 있어서 다양한 구도를 제공함으로써 영상제작과 구도의 다양성에 도움을 주어서 방송국에서 촬영을 위해 활용을 한다. 하지만 1인 제작자는 누군가의 도움 없이 드론 조종을 하면서 촬영하는 것은 어려움이 많고 현재 1인 제작 영상이나 사진을 찍기 위해서는 머리에 캠을 부착하거나 손에 삼각대나 지지대를 들고 다녀야하는 번거로움이 있다. 유도 촬영드론을 이용해 촬영 범위가 보다 넓어질 수 있고 장시간 손에 들고 있지 않아도 된다는 장점이 있다. 영상 촬영의 방법과 구도를 증가시킬 수 있고 1인 영상제작자에게는 다른 이의 도움 없이 홀로 자유롭고 편하게 드론 촬영을 할 수 있다.

• Journal of Internet Computing and Services
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• v.21 no.2
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• pp.27-37
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• 2020

Recently, big data is rapidly emerging as a core technology in the 4th industrial revolution. Further, the utilization and the demand of drones are continuously increasing with the development of the 4th industrial revolution. However, as the drones usage increases, the risk of drones falling increases. Drones always have a risk of being able to fall easily even with small problems due to its simple structure. In this paper, in order to predict the risk of drone fall and to prevent the fall, ESC (Electronic Speed Control) is attached integrally with the drone's driving motor and the acceleration sensor is stored to collect the vibration data in real time. By processing and monitoring the data in real time and analyzing the data through big data obtained in such a situation using a Fast Fourier Transform (FFT) algorithm, we proposed a prediction system that minimizes the risk of drone fall by analyzing big data collected from drones.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.1
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• pp.125-132
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• 2020

Due to the rapidly increasing number of cars and power generation, environmental pollution caused by fine dust is becoming a serious social problem. Especially fine dust becomes an important issue nowadays. More than 50 countries are suffering from fine dust above the recommended level, and each affected country is studying the measures to reduce fine dust and minimize its occurrence. However, at present, it is difficult to collect fine dust data from the various points with fixed fine dust acquisition drones, and also to collect accurate data due to the influence of rotating blades even in the existing drone method. In this paper, we propose a method for collecting fine dust using drones and a sensing parts architecture and show its effectiveness.

• Journal of Korean Society of Disaster and Security
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• v.16 no.4
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• pp.129-136
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• 2023

A special offshore bridge with a high pylon has special structural features.Special offshore bridges have inspection blind spots that are difficult to visually inspect. To solve this problem, safety inspection methods using drones are being studied. In this study, image data of the pylon of a special offshore bridge was acquired using a drone. In addition, an artificial intelligence algorithm was developed to detect damage to the pylon surface. The AI algorithm utilized a deep learning network with different structures. The algorithm applied the stacking ensemble learning method to build a model that formed the ensemble and collect the results.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.332-340
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• 2021

The purpose of this study was to present a method for the application of drones through analysis after surveying Jeollanam-do firefighters regarding the recognition, operation, field of application, necessary field of work, and the need for education on fire drones. As a result of the survey, 80.29% of respondents were found to be willing to operate drones, and the fields of work for which drones were considered the most necessary were in the order of rescue, fire suppression, life safety, first aid, and others. Besides, 77.38% of respondents thought that drones could contribute to the prevention of safety accidents for firefighters, and 70.13% of respondents thought that it would be appropriate to recruit firefighting drone operators through changing positions, and respondents chose firefighters in their 40s as the most suitable age group for firefighting drone operation. Also, 82.84% of respondents said they would participate in drone training, and they recognized that the use of drones could contribute to solving the physical problems caused by the aging of firefighters, and that drone training would also help firefighters manage their retirement. The fields where firefighting drones are used were investigated in the order of searching for requestors, checking on-site information, and checking on-site prior risk. In this study, a difference analysis for each group was performed according to the drone operation experience. There was a statistically significant difference in the items of safety measures for requestors. The results of variance analysis by work experience confirmed that there were statistically significant differences in a total of eight items, including four items related to the field of use of drones, and the age group of the drone operating crew, and whether or not to help retirement management.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.99-100
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• 2016

드론이나 이동형 촬영장비에 장착된 카메라로부터 깨끗하고 안정된 영상을 획득하기 위해서는 짐벌시스템의 안정화기 설계가 필요하다. 짐벌시스템은 카메라 모듈을 지지하는 구조와 외부로 부터의 진동을 차단하면서 정확한 각도를 추종하는 안정화기로 구성된다. 이동형 촬영장비나, 비행중인 드론에는 매우 다양한 주파수 성분의 진동이 발생되는데, 이러한 진동을 제어하기 위하여 6자유도 운동방정식을 유도하고, 이 중에서 본 논문에서는 일반적으로 rolling, pitching, yawing 운동에 대해서는 PID 제어기를 사용하여 안정화를 제어하기만, 카메라종류나 짐벌시스템 구조가 바뀔 때 마다 PID 파라미터를 변경해야 되는 경우가 빈번하다. 본 논문에서는 이런 문제점을 개선하기 새로이 제기된 제어 기법인 지적 PID(intelligent PID) 제어를 통하여 진동제어를 수행하여 짐벌시스템의 안정화를 위한 제어기법을 제안하고자 한다.