• Smart Media Journal
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• v.9 no.3
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• pp.130-141
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• 2020

The drone market in Korea is growing with a focus on the use of prevention, defense, exploration and surveying, search and rescue, video shooting, and facility management. However, the foreign dependence on drone's core technologies and components is high. Drone-powered countries such as the US and China are expanding the weaponization of drones, which can intensify trade wars between countries, such as strengthening import and export regulations and monopoly. Therefore, Korea should put R & D and localization of core technology, parts, and accessories of next generation drone first. For this, policy research and investment in infrastructure, equipment, and research personnel should be preceded. This study studied the evaluation of investment priorities by infrastructure sector (facility equipment, utilization field, and demand manpower) to foster small drone companies through literature studies. To this end, we expanded and reclassified e isting research, developed investment prioritization indicators through expert group interviews and reviews, derived future uncertainties, and selected investment priorities by infrastructure sector using AHP techniques. Finally, it proposed an infrastructure construction strategy to foster small drone companies in terms of drone development support, utilization support.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.2
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• pp.79-89
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• 2022

Images taken using drones have been applied to fields that require rapid decision-making as they can quickly construct high-quality 3D spatial information for small regions. To construct spatial information based on drone images, it is necessary to determine the relationship between images by extracting keypoints between adjacent drone images and performing image matching. Therefore, in this study, three study regions photographed using a drone were selected: a region where parking lots and a lake coexisted, a downtown region with buildings, and a field region of natural terrain, and the performance of AKAZE (Accelerated-KAZE), BRISK (Binary Robust Invariant Scalable Keypoints), KAZE, ORB (Oriented FAST and Rotated BRIEF), SIFT (Scale Invariant Feature Transform), and SURF (Speeded Up Robust Features) algorithms were analyzed. The performance of the keypoints extraction algorithms was compared with the distribution of extracted keypoints, distribution of matched points, processing time, and matching accuracy. In the region where the parking lot and lake coexist, the processing speed of the BRISK algorithm was fast, and the SURF algorithm showed excellent performance in the distribution of keypoints and matched points and matching accuracy. In the downtown region with buildings, the processing speed of the AKAZE algorithm was fast and the SURF algorithm showed excellent performance in the distribution of keypoints and matched points and matching accuracy. In the field region of natural terrain, the keypoints and matched points of the SURF algorithm were evenly distributed throughout the image taken by drone, but the AKAZE algorithm showed the highest matching accuracy and processing speed.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.19-19
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• 2021

최근 드론 및 ICT 융·복합기술은 산업 전반에 걸쳐 새로운 대안을 제시하고 있으며, 종전의 산업은 데이터 생성·가공·활용의 효율성, 경제성, 안전성 등의 장점을 들어 빠른 속도로 관련 ICT와 의 접목을 시도해 왔다. 이를 통해 과거의 기술과 방식에서는 찾아보기 힘들었던 다양한 형태의 결과물을 제시하는 등 데이터 기반의 4차산업혁명이 선도하는 변화가 곳곳에서 일어나고 있다. 국토교통부에서는 2018년부터 중앙·지자체·공공기관 소속직원을 대상으로 드론 조종인력 양성사업을 시작으로 2019년 국방·치안·환경·안전·측량 등 10개 분야에 드론 활용 임무특화교육을 진행해왔으며, 2020년도에는 시설물 점검, 불법행위 추적 감시, 수자원 관리 등으로 교육 분야 추가하는 등 활용범위를 확대해나가고 있다. 경기도 안전관리실(안전특별점검단)에서는 이러한 국가정책의 방향에 맞춰 새로운 기술과 융합을 시도하고자 2020년부터 '드론 등을 활용한 시설물 안전점검 고도화 연구'를 시작으로 절토사면 및 옹벽 등 시설물 안전점검과 하천 및 우수저류지의 유지관리에 ICT 융·복합 기술 및 분석용 S/W 등을 적용하고자 하였다. 본 연구에서는 드론 및 LiDAR 등을 활용하여 하천, 배수로, 우수저류지 등에 대해 공공관리주체가 실시할 수 있는 유지관리점검 및 현황분석 방법에 관한 것으로서 「하천법」, 「자연재해대책법」, 「시설물의 안전 및 유지관리 실시 세부지침」, 「우수유출저감시설의 종류·구조·설치 및 유지관리 기준」 등에서 정한 사항에 대해 적용하였다. 이를 통해 하천, 우수저류지 등 수공구조물의 홍수위 변동성 평가, 홍수조절부 용량검토 등 홍수방어 능력에 대한 유지관리 차원의 공공관리주체 역할을 강화하는 제도적 측면을 검토하고, 드론, LiDAR 등의 ICT 융·복합 기술 활용 확대를 통해 예산절감 및 공공안전 강화에 기여할 수 있을 것으로 판단된다.

• Broadcasting and Media Magazine
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• v.24 no.1
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• pp.56-62
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• 2019

MBC 기술연구소 산하 기술정보사업팀에서는 수 센티미터 이하의 오차정밀도를 요구하는 측지측량, 3D 건설기계 제어 등의 응용분야부터, 극도의 서비스 안정성을 요구하는 자율주행차, 드론 등의 응용분야에 걸쳐 정밀위치 보정정보를 제공하는 'MBC RTK' 상용서비스를 실시하고 있다. 본 고에서는 MBC의 정밀위치측위 서비스인 'MBC RTK' 서비스를 소개하고, 자율주행차의 적용적합성을 설명하고자 한다.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.1
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• pp.33-38
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• 2020

This paper proposes a technique for counting construction materials by analyzing an image acquired by a Drone. The proposed technique use drone log which includes drone and camera information, RCNN for predicting construction material type, dummy area and Photogrammetry for counting the number of construction material. The existing research has large error ranges for predicting construction material detection and material dummy area, because of a lack of training data. To reduce the error ranges and improve prediction stability, this paper increases the training data with a method of data augmentation, but only uses rotated training data for data augmentation to prevent overfitting of the training model. For the quantity calculation, we use a drone log containing drones and camera information such as Yaw and FOV, RCNN model to find the pile of building materials in the image and to predict the type. And we synthesize all the information and apply it to the formula suggested in the paper to calculate the actual quantity of material pile. The superiority of the proposed method is demonstrated through experiments.

• Journal of Digital Convergence
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• v.12 no.1
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• pp.319-324
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• 2014

In recent years, high-performance flying drones attract attention for many peoples. In particular, the drone equipped with multi-rotor is expanding its range of utilization in video imaging, aerial rescue, logistics, monitoring, measurement, military field, etc. However, the control function of its controller is very simple. In this study, using a G-sensor mounted on a mobile device, implements an enhanced controller to control flying drones through the intuitive gesture of user. The implemented controller improves the gesture recognition performance using a neural network algorithm.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.249-249
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• 2016

무인항공기(UAV)는 군사적 목적으로 개발되었지만, 최근 다양한 분야에서 활용되고 있다. 수자원 관리를 위해서도 시대적 흐름에 따라 드론과 관련된 많은 연구가 진행되고 있다. 이수임 등(2015)은 UAV영상을 활용한 수변구조물의 DSM 생성 및 정확도 연구를 통해 지상 LIDAR와 같은 수준의 DSM 및 더욱 정확한 GCP 취득의 필요성을 제시했다. 이용창(2015)은 회전익 UAS 영상기반 고밀도 측점자료의 위치 정확도를 평가하였다. 이인수 등(2013)은 초경량 고정익무인항공기 사진측량기법의 정사영상 정확도 평가를 수행하였다. 또한 김민규 등(2010)은 풍수해 모니터링을 위한 UAV 적용성 분석을 실시하였고, 김홍래 등(2014)은 UAV를 활용한 감시정보정찰 임무분석 및 설계도구 개발을 위한 연구를 수행하였다. 상기와 같이 수자원 분야 활용을 위한 많은 연구가 보고 되고 있으나, 아직까지 드론 활용의 대부분은 항공영상 취득 및 분석기술 개발에 집중되어 있다. 본 연구에서는 무인항공기를 수재해 감시 및 관리 기술에 적용하기 위해 수행되었다. 수재해 감시 및 관리를 위한 방법으로 NIR(Near Infrared) 센서를 부착한 '재해관리용 드론'을 개발하고 현장실험을 수행하였다. 실험결과 NIR센서를 탑재한 드론은 수재해 관리에 매우 유용하게 활용될 수 있을 것으로 판단되었다.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.38 no.1
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• pp.77-84
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• 2020

This study is apply 3D spatial information per traditional landscape space by comparing spatial information data created using a small drone and 3D scanner used for 3D spatial information construction for efficient preservation and management of traditional landscaping space composed of areas such as scenic sites and traditional landscape architectures. The analysis results are as follows. First, aerial photogrammetry data is less accurate than 3D scanners, but it was confirmed to be more suitable for monitoring landscape changes by reading RGB images than 3D scanners by texture mapping using digital data in constructing orthographic image data. Second, the orthographic image data constructed by aerial photogrammetry in a traditional landscaping space consisting of a fixed area, such as Gwanghalluwon Garden, produced visually accurate and precise results. However, as a result of the data extraction, data for trees, which is one of the elements that make up the traditional landscaping, was not extracted, so it was determined that 3D scanning and aerial surveying had to be performed in parallel, especially in areas where trees were densely populated. Third, The surrounding trees in Soswaewon Garden caused many errors in 3D spatial information data including topographic data. It was analyzed that it is preferable to use 3D scanning technology for precise measurement rather than aerial photogrammetry because buildings, landscaping facilities and trees are dense in a relatively small space. When 3D spatial information construction data for a traditional landscaping space composed of area using a small drone and a 3D scanner free from temporal and spatial constraints and compared the data was compared, the aerial photogrammetry is effective for large site such as Hahoe Village, Gyeongju and construction of a 3D space using a 3D scanner is effective for traditional garden such as Soswaewon Garden.

• Journal of The Geomorphological Association of Korea
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• v.28 no.4
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• pp.41-52
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• 2021

With the popularization of drones and the ease of use of the Global Navigation Satellite System (GNSS), drone photogrammetry for terrain information has been widely used. Drone photogrammetry enables the realization of high-accuracy three-dimensional topography for the entire area with less effort and time compared to the past direct survey using GNSS or total station. From 3-D topographic data, various topographical analysis is possible. To improve the accuracy of drone photogrammetry, direct GCP surveying in the field is essential, and the numbers and reasonable positioning of GCPs are very important. In the case of beaches or tidal flats on the west coast of Korea, the numbers and location of GCPs are important factors in efficient drone photogrammetry because of the size of the area, difficulties of movement, and the risk from tides. If the RTK (Real-time kinematic) or PPK (Post-processed kinematic) method is used, the increased accuracy of the drone's location enables high-accuracy photogrammetry with a small number of GCPs. This study presents an efficient drone photogrammetry method in terms of time and economy by comparing and analyzing the results of drone photogrammetry using Non-PPK with low-cost PPK-Kit, based on the tests of various numbers and locations of GCPs in the university field including various slopes and structures like coastal terrain.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2017.11a
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• pp.282-285
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• 2017

본 논문에서는 무인비행기를 활용하여 재철소에서 사용하고 있는 대량의 원재료인 고철의 체적을 산정하고 수량을 파악하여 기존의 재고량산정 방법의 문제를 개선하고 보다 효율적이며 객관적인 고철량을 파악하는 방법을 찾는데 목적이 있다. 고철량 산정에 있어 무게를 산정하기 위해서는 체적을 산정하여 비중값을 적용하여 산정한다. 본 연구에서는 무인비행기(UAV)를 이용하여 체적을 산정하고 정확성 검증을 위해 정형의 컨테이너 박스와 크기가 작은 휴지통을 촬영 분석하여 비교 검증한 후 고철의 체적 측정 시험을 시행하였다. 무인비행기는 고정익 드론을 사용하였으며 격자비행방식을 적용하여 촬영하였으며, 촬영 전 지상기준점을 구하고자하는 물제의 주변에 배치하고 측량하여 적용하였다. 분석결과 체적산정을 위한 검증시험에서는 측량한 치수 및 체적 값과 무인비행기분석 값이 유사하게 나타났다. 또한 제철소에서 검증한 고철의 무게와 체적을 기준으로 무인비행기를 이용한 체적 값을 비교한 결과 기존 방식에 비해 객관적이고 효율적인 값을 얻을 수 있는 것으로 판단된다.