• 스마트미디어저널
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• 제5권2호
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• pp.51-58
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• 2016

최근 국내는 물론 전 세계적으로 새로운 관심을 끌고 있는 기술은 무인 항공기이며, 과학, 군사, 마케팅, 스포츠, 엔터테인먼트 등 다양한 분야를 가리지 않고 발휘하는 다재다능함이 드론 열풍의 원동력이다. 또한 활용 범위가 광범위한 만큼 향후 산업화된다면 그 잠재력 또한 무궁무진할 것으로 기대된다. 본 논문에서는 무인항공기 기반의 빅데이터 처리 시스템의 프로토타입을 설계 및 제안 하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권2호
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• pp.711-732
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• 2019

Many unmanned aerial vehicle (UAV) applications have been employed for performing data collection in facilitating tasks such as surveillance and monitoring objectives in remote and dangerous environments. In light of the fact that most of the existing UAV relaying applications operate in conventional half-duplex (HD) mode, a full-duplex (FD) based UAV relay aided wireless network is investigated, in which the UAV relay helps forwarding information from the source (S) node to the destination (D). Since the activated UAV relays are always floating and flying in the air, its channel state information (CSI) as well as channel capacity is a time-variant parameter. Considering decode-and-forward (DF) relaying protocol in UAV relays, the cooperative relaying channel capacity is constrained by the relatively weaker one (i.e. in terms of signal-to-noise ratio (SNR) or signal-to-interference-plus-noise ratio (SINR)) between S-to-relay and relay-to-D links. The channel capacity can be optimized by adaptively optimizing the transmit power of S and/or UAV relay. Furthermore, a hybrid HD/FD mode is enabled in the proposed UAV relays for adaptively optimizing the channel utilization subject to the instantaneous CSI and/or remaining self-interference (SI) levels. Numerical results show that the channel capacity of the proposed UAV relay aided wireless networks can be maximized by adaptively responding to the influence of various real-time factors.

• 한국전자통신학회논문지
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• 제18권5호
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• pp.981-988
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• 2023

무인 비행체의 활용범위가 확대됨에 따라 관련 기술의 발전과 기술 수요도 증가하는 추세이다. 무인 비행체의 운영빈도가 늘어나고 운영의 편리성이 강조됨에 따라 관련 자율비행 기술도 중요성이 주목받고 있다. 무인 비행체의 자율 비행에 있어 목적지에 도달하는 경로계획을 세우는 일은 유도제어에서 중요하며 무인화의 효과를 극대화하기 위해서는 경로계획 역시 자동으로 생성하는 기술이 필요하다. 본 논문에서는 무인 비행체의 자율운영 효과를 높이기 위해서 급속탐색랜덤트리기법으로 생성된 경로를 무인기의 특성에 맞게 최적화하는 기법에 관한 연구를 수행하였다. 최적 거리, 최단 시간, 임무점 통과 등의 지표를 달성하기 위해 경로계획을 무인 비행체의 임무 목표와 동적 특성을 고려하여 최적화하였다. 제안한 기법은 장애물 상황에 대한 성능검증을 통해 무인 비행체 경로계획 생성에 적용 가능성을 확인하였다.

• 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.

• Advances in aircraft and spacecraft science
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• 제6권5호
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• pp.371-389
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• 2019

The implementation of a robust $H_{\infty}$ Control, which is numerically efficient for uncertain nonlinear dynamics, on longitudinal and lateral autopilots is realised for a quarter scale Piper J3-Cub model accepted as an unmanned aerial vehicle (UAV) under the condition of sensor noise and disturbance effects. The stability and control coefficients of the UAV are evaluated through XFLR5 software, which utilises a vortex lattice method at a predefined flight condition. After that, the longitudinal trim point is computed, and the linearization process is performed at this trim point. The "${\mu}$-Synthesis"-based robust $H_{\infty}$ control algorithm for roll, pitch and yaw displacement autopilots are developed for both longitudinal and lateral linearised nonlinear dynamics. Controller performances, closed-loop frequency responses, nominal and perturbed system responses are obtained under the conditions of disturbance and sensor noise. The simulation results indicate that the proposed control scheme achieves robust performance and guarantees stability under exogenous disturbance and measurement noise effects and model uncertainty.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제5권4호
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• pp.181-186
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• 2016

무인항공기(Unmanned Aerial Vehicle, UAV)는 짧은 시간 동안 넓은 범위의 정찰이 가능하기 때문에 최근에는 이를 활용한 감시 시스템 연구가 주목을 받고 있다. 넓은 범위를 감시할 때 조종사가 반복적으로 UAV를 비행시키는 것은 운영에 필요한 비용 문제가 발생한다. 감시를 위한 비행경로를 사전에 정의할 수 있다면 이를 기반으로 UAV를 자율 비행시켜 비용 문제를 해결할 수 있다. 전통적인 접근 방법은 GPS를 기반으로 비행할 경로를 다수 개의 모터프리미티브로 정의한다. 하지만, UAV가 감시할 지점이 모터프리미티브에 반영되지 않아 감시가 제대로 수행되지 못하는 문제가 발생한다. 이 논문에서는 감시용 UAV를 자율 비행시키기 위한 모터프리미티브의 구조를 제안한다. 모터프리미티브는 감시 대상을 정확히 기술하기 위해서 자동으로 감시할 지점을 선택하여 생성된다.

• 지구물리와물리탐사
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• 제23권3호
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• pp.178-191
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• 2020

무인항공기는 최근 10년간 빠르게 성장하고 있는 한편, 복잡하고 어려운 환경에서 적용가능하며, 높은 분해능을 가진 효율적인 탐사 기법의 필요성이 대두되고 있다. 이에 따라 기존의 탐사기술을 보완하고 대체할 수 있는 효율적인 탐사 방법으로 무인항공 탐사기술이 주목받고 있다. 특히나, 자력탐사기술은 무인항공기와 접목되어 빠르게 탐사 시장에서 자리를 잡아가고 있으며, 향후 활발하게 탐사분야에서 사용될 것이라고 기대된다. 국내 탐사시장에서 적절하게 활용되기 위해서는 최신 연구 동향에 대한 검토가 필요하며, 이를 위해 이 해설논문에서는 현재까지의 무인항공기반 자력탐사시스템 개발에 대한 연구동향들을 정리한 후, 향후과제들에 대해 검토하였다.

• 반도체디스플레이기술학회지
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• 제17권1호
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• pp.88-92
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• 2018

Currently drone industry has become one of the fast growing markets and the technology for unmanned aerial vehicles are expected to continue to develop at a rapid rate. Especially small unmanned aerial vehicle systems have been designed and utilized for the various field with their own specific purposes. In these fields the path planning problem to find the shortest path between two oriented points is important. In this paper we introduce a path planning strategy for an autonomous flight of unmanned aerial vehicles through reinforcement learning with self-positioning technique. We perform Q-learning algorithm, a kind of reinforcement learning algorithm. At the same time, multi sensors of acceleraion sensor, gyro sensor, and magnetic are used to estimate the position. For the functional evaluation, the proposed method was simulated with virtual UAV environment and visualized the results. The flight history was based on a PX4 based drones system equipped with a smartphone.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• 제1권1호
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• pp.31-40
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• 2020

The rapid development of technologies in unmanned aerial vehicles (UAVs) has led to their use in various areas. UAVs are mainly used for commercial purposes, but their utilization is increasingly important in other areas because their operation cost is less than satellites and aerial imaging. The utilization of UAVs in the environment/ecology area is relatively new. Therefore, identifying the trends of UAV-related spatial information is significant in basic research for UAV utilization. This study quantitatively identified domestic and international research trends related to UAV utilization and analyzed research areas. An attempt was also made to identify upcoming UAV-related topics in the environment/ecology research field using text mining to analyze the bibliographic information of global research literature. Domestic UAV-related studies were classified into seven clusters where basic research on "UAV technology/industry trends" was abundant, and studies on data collection and analysis through UAV remote sensing technology have increased since 2015. Eight clusters were identified for international studies where the most active research area international was "remote sensing technology/data analysis". In addition, Canopy, Classification, Forest, Leaf Area Index, Normalized Difference Vegetation Index, Temperature, Tree, and Atmosphere appeared as the main keywords related to environment and ecology. The appearance frequencies and association strengths were high because the advancement in UAV optical sensor technology and the rapid development of image processing technology enabled the acquisition of data that could not be obtained from existing spatial information. They are recognized as future research topics as related domestic studies have begun corresponding to international research.

• 제어로봇시스템학회논문지
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• 제20권12호
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• pp.1181-1188
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• 2014

In this paper, we propose a novel concept foran unmanned delivery service using a cooperative heterogeneous unmanned system consisting of a self-driving car and an unmanned aerial vehicle (UAV). The proposed concept is suitable to deliver parcels in high-density and high-rise urban or residential areas. In order to achieve the proposed concept, we will develop acooperative heterogeneous unmanned system. Customers can order goods using a smartphone application and the order information, including the position of the customer and the order time, and the package is transported automatically by the unmanned systems. The system assigns the tasks suitable for each unmanned vehicle by analyzing it based on map information. Performance is validated by experiments consisting of autonomous driving and flight tests in a real environment. For more evaluation, the landing position error analysis is performed using circular error probability (CEP).