• 시스템엔지니어링학술지
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• 제17권2호
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• pp.23-36
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• 2021

Recently, the rapid development of drones is increasing as a variety of threats to important facilities of the country. In order to build an anti-drone system that responds to drones with high technical characteristics, standardization is required in terms of operation, system, and technology. By applying the defense architecture framework, it contributes to the establishment of the optimal system by proposing a standardization plan for the operational and system perspectives of the anti-drone system by creating outputs equivalent to the stage of prior research on weapons systems. It is a prerequisite for building a drone system the operational concept of the anti-drone system, the definition of the drone threat, the function of each component, the interface, the definition of data flow, the system performance and effect scale, etc. Management, security officers, and equipment manufacturers of important national and public facilities on site expect that it will be used as an objective standard at the government level for the component technology of the equipment to respond to the drone threat and the performance required in the environment.

• 대한임베디드공학회논문지
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• 제13권6호
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• pp.289-296
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• 2018

Drone detection in FMCW radar system needs complex techniques because a drone beat frequency is highly dynamic and unpredictable. Therefore, the current static signal processing algorithms cannot show appropriate detection accuracy. With dynamic signal fluctuation and environmental clutters, it can fail to detect a drone or make false detection. It affects to the radar system integrity and safety. Constant false alarm rate (CFAR), one of famous static signal process algorithm is effective for static environment. But for drone detection, it shows low detection accuracy. In this paper, we suggest neural network based FMCW radar system for detecting a drone. We use recurrent neural network (RNN) because it is the effective neural network for signal processing. In our FMCW radar system, one transmitter emits FMCW signal and four-way fixed receivers detect reflected drone beat frequency. The coordinate of the drone can be calculated with four receivers information by triangulation. Therefore, RNN only learns and inferences reflected drone beat frequency. It helps higher learning and detection accuracy. With several drone flight experiments, RNN shows false detection rate and detection accuracy as 21.1% and 96.4%, respectively.

• 대한임베디드공학회논문지
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• 제16권5호
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• pp.163-169
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• 2021

In this paper, we implemented a deep learning-based automatic object tracking and handy motion control drone system and analyzed the performance of the proposed system. The drone system automatically detects and tracks targets by analyzing images obtained from the drone's camera using deep learning algorithms, consisting of the YOLO, the MobileNet, and the deepSORT. Such deep learning-based detection and tracking algorithms have both higher target detection accuracy and processing speed than the conventional color-based algorithm, the CAMShift. In addition, in order to facilitate the drone control by hand from the ground control station, we classified handy motions and generated flight control commands through motion recognition using the YOLO algorithm. It was confirmed that such a deep learning-based target tracking and drone handy motion control system stably track the target and can easily control the drone.

• 한국인터넷방송통신학회논문지
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• 제19권6호
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• pp.35-40
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• 2019

본 연구는 LTE 통신망을 사용하여, 실시간 드론 원격주행 시스템을 제안한다. 원격지에 위치한 드론을 180km 떨어진 거리에 위치한 조종자가 50msec 시간지연으로 실시간 고도와 위치, 자세를 제어하면서 조정한다. 조정자의 조정 신호에 따라 움직이는 드론의 영상과 모션 정보는 실시간으로 조정자에게 전송되어, 영상은 조종자의 HMD에서 재생되며, 모션 정보는 조종자가 탑승한 시뮬레이터를 구동하게 된다. 일반으로 드론조정은 RF 신호를 사용하여 통상 2km 이내에서 직접 조정이 가능하며, 이 이상의 거리에서는 미션 플래너를 사용하여 GPS 운행을 한다. 따라서 장거리 비행 중 발생하는 긴급 상황에 대처하는 방안은 자동 비행 종료 후, 원위치로 복귀하는 기능이 주를 이룬다. 본 연구에서는 LTE 통신을 사용하여, 비행 중인 드론의 모션과 영상을 평균 50m sec 이내로 조종자에게 전송하여, 조종자에게 실제 원격지의 드론 위에서 조정하는 것과 유사한 실감환경을 제시한다. 제안된 시스템의 검증을 위하여 대전의 드론 조종자가 강원도 인제에 위치한 드론을 조종하는 실험 결과를 제시한다.

• 대한임베디드공학회논문지
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• 제19권1호
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• pp.33-38
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• 2024

In this paper, we propose the implementation of a drone delivery system using artificial intelligence in a situation where the use of drones is rapidly increasing and human errors are occurring. This system requires the implementation of an accurate control algorithm, assuming that last-mile delivery is delivered to the apartment veranda. To recognize the delivery location, a recognition system using the YOLO algorithm was implemented, and a delivery system was installed on the drone to measure the distance to the object and increase the delivery distance to ensure stable delivery even at long distances. As a result of the experiment, it was confirmed that the recognition system recognized the marker with a match rate of more than 60% at a distance of less than 10m while the drone hovered stably. In addition, the drone carrying a 500g package was able to withstand the torque applied as the rail lengthened, extending to 1.5m and then stably placing the package down on the veranda at the end of the rail.

• 한국차세대컴퓨팅학회논문지
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• 제13권6호
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• pp.124-131
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• 2017

최근 드론은 배송, 농업, 공업, 엔터테인먼트 등 다양한 분야에 적용되어 사용 영역을 넓히고 있다. 실제 드론을 제어하기 위해선 많은 경험이 필요하지만 이를 위해선 드론 분실, 파손 등 여러 위험한 상황에 노출되기 쉽다. 가상 드론 시스템은 이러한 위험성을 피하여 드론을 학습 할 수 있는 배경을 제공할 수 있다. 본 논문에서는 드론 학습을 위한 가상 드론 시스템 구축을 위한 요구기술들에 대해 논한다. 먼저, 다양한 형태를 가질 수 있는 드론을 가상의 환경에서 조립할 수 있는 저작도구가 필요하다. 가상의 저작도구는 실제 드론의 물리적 특성을 반영할 수 있어야 한다. 이에 실제 비행에 큰 영향을 비치는 로터의 위치나 배선의 간섭 등을 고려할 수 있는 가상 드론 저작 도구를 제안한다. 다음으로는 만들어진 가상의 드론을 실제 비행환경과 흡사한 물리적 조건하에서 구동 해 볼 수 있는 가상 드론 시뮬레이터가 필요하다. 이 시뮬레이터는 실제와 근접한 렌더링 품질을 보장할 수 있어야 하며 기체 역학에 근거한 물리적 환경 하에 구동이 되어야 한다. 여기에 가상 드론의 동역학적 특징이 움직임에 반영 될 수 있도록 SILS(Software in the loop simulation) 기반의 검증 기법을 추가하여 사실성을 높인다. 마지막으로 실제 드론 컨트롤러 기반으로 가상의 드론을 구동할 수 있는 환경이 필요하다. 범용으로 사용되는 드론 컨트롤러의 신호를 시뮬레이터에서 받아 사용할 수 있는 가상 드론 컨트롤러 기술을 제안한다. 완성된 가상드론 저작도구, 시뮬레이터, 및 컨트롤러 연동 기술을 포함한 가상 드론 시스템은 100명의 사용자 대상 만족도 조사 결과 10점 기준 7.64의 만족도를 나타내었다.

• International Journal of Internet, Broadcasting and Communication
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• 제9권4호
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• pp.31-37
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• 2017

Recently Drone technology is emerging as an alternative new way of distribution systems services. Amazon, Google which are global network chain distribution companies are developing an idea of Drone based delivery service and applied for patent for Drone distribution systems in USA. In this paper, we investigate a way to adopt Drone system to Air Cargo logistics, in particular, drone system based on combination of Light ID and RFID technology in the management procedure in stock warehouse. Also we explain the expected impact of Drone systems to customs declaration process. In this paper, we address the investigated limitations of Drone by the Korean Aviation Act as well as suggest the directions of future research for application of Drone to Air logistics industry with investigated limitations.

• 항공우주시스템공학회지
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• 제15권6호
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• pp.33-41
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• 2021

As interest in drones controlled by remote technology rapidly increases worldwide, drones are used in many fields such as military, rescue, and transportation as future innovations in many countries. In particular, as the drone has been spotlighted as a new future strategic industry, it is also used for public purposes such as disaster relief and crime investigation. However, security concerns such as the penetration of major national facilities, collisions with aircraft, and the possibility of privacy infringement due to aerial photography are also being raised. Unlike the increased interest in drones, there have been few studies on drone use, drone safety, and public attitudes toward drone use. This paper analyzed the perceptions of drone attitudes, drone stability and policy support for drones for Korean and United Kingdom.

• 한국멀티미디어학회논문지
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• 제23권4호
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• pp.588-594
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• 2020

This study analyzes the current status of drone journalism in Korean broadcasting industry, with a case study of TV Chosun Company's drone use for news gathering. It analyzes TV Chosun's record of drone logs between 2014 and 2018. The log consists of date, time, news content, users, machine and on-air date. In 2014, the total of 31 cases of using drones for news gathering is identified, while in 2018, the frequency increases to 60, with a gradual, annual increase, making the total frequency of 160, during the period between 2014 and 2018. This means that the broadcasting company used the drone news gathering system every week. The analysis also reveals that the company used this drone news gathering system mostly in the metropolitan area in Korea, amounting to more than 76 per cent of its total use: 31.3 per cent in Seoul, 36.9 per cent in Kyunggi, and 8.1 percent in Incheon. The system was more frequently used in the summer and autumn than the winter and spring. Interestingly, it was first popularly used for disaster related news, but the use of drone for social and other issues is increasing every year, which may imply its diverse use in the future.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.367-371
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• 2004

This paper describes development of automatic flight control system for an unmanned target drone which is operated by Korean army as for anti-air gun shooting training. Current target drone is operated by pilot control of on-board servo motor via remote control system. Automatic flight control system for the target drone greatly reduces work load of ground pilot and can increase application area of the drone. Most UAVs being operated now days use high-priced sensors as AHRS and IMU to measure the attitude, but those are costly. This paper introduces the development of low-cost automatic flight control system with low-cost sensors. The integrated automatic flight control system has been developed by integrating combining power module, switching module, monitoring module and RC receiver as an one module. The performance of automatic flight control system is verified by flight test.