• Title/Summary/Keyword: UAV(Unmanned Aerial Vehicles)

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Extraction of Road Information Based on High Resolution UAV Image Processing for Autonomous Driving Support (자율주행 지원을 위한 고해상도 무인항공 영상처리 기반의 도로정보 추출)

  • Lee, Keun-Wang
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.8
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    • pp.355-360
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    • 2017
  • Recently, with the development of autonomous vehicle technology, the importance of precise road maps is increasing. A precise road map is a digital map with lane information, regulations, safety information, and various road facilities. Conventional precise road maps have been tested and developed based on the mobile mapping system (MMS). But they have not been activated due to high introduction costs. However, in the case of unmanned aerial vehicles (UAVs), the application field is continuously increasing. This study tries to extract information through classification of high-resolution UAV images for autonomous driving. Autonomous vehicle test roads were selected as study sites, and high-resolution orthoimages were produced using UAVs. In addition, the utilization of high-resolution orthoimages has been proposed by effectively extracting data for precise road map construction, such as road lines, guards, and machines through image classification. If additional experimentation and verification are performed, the field of UAV image use will be expanded, providing the data to automobile manufacturers and related public and private organizations, and venture companies will contribute to the development of domestic autonomous vehicle technology.

A Study on the Development of Airworthiness Standards for VTOL UAS (수직이착륙(VTOL) 무인항공기 감항기준 개발에 대한 연구)

  • Gil, Ginam;Yoo, Minyoung;Park, Jongsung
    • Journal of Aerospace System Engineering
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    • v.14 no.1
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    • pp.44-53
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    • 2020
  • In conjunction with the Fourth Industrial Revolution, the unmanned aerial vehicle industry is being developed to a new paradigm by combining advanced technologies such as AI, Big Data and the IoT. Aeronautical developed countries such as the U.S. are focusing their efforts on the development of the safer unmanned aerial vehicles. The Korea Aerospace Research Institute, as part of the national R&D project in 2011, had succeeded in developing the first vertical takeoff and landing (VTOL) UAS, called Smart-UAV. However, although the development technology of the VTOL UAS is possessed, developing and operating of the VTOL UAS for commercial or military use are limited. The type certification procedure of the VTOL UAS developed by domestic technology is stipulated in the Korean Aviation Safety Act, but the Korean VTOL UAS airworthiness standards (KAS) hsve not been established. Thus, this study investigated the development trends of the VTOL UAS in Korea and abroad and national certification systems and procedures, and benchmarked the special conditions for the VTOL aircraft, announced by the EASA on July 2, 2019, to establish standards for type certificate of the VTOL UAS in Korea.

NDVI Based on UAVs Mapping to Calculate the Damaged Areas of Chemical Accidents (화학물질사고 피해영역 산출을 위한 드론맵핑 기반의 정규식생지수 활용방안 연구)

  • Lim, Eontaek;Jung, Yonghan;Kim, Seongsam
    • Korean Journal of Remote Sensing
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    • v.38 no.6_3
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    • pp.1837-1846
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    • 2022
  • The annual increase in chemical accidents is causing damage to life and the environment due to the spread and residual of substances. Environmental damage investigation is more difficult to determine the geographical scope and timing than human damage investigation. Considering the reality that there is a lack of professional investigation personnel, it is urgent to develop an efficient quantitative evaluation method. In order to improve this situation, this paper conducted a chemical accidents investigation using unmanned aerial vehicles(UAV) equipped with various sensors. The damaged area was calculated by Ortho-image and strength of agreement was calculated using the normalized difference vegetation index image. As a result, the Cohen's Kappa coefficient was 0.649 (threshold 0.7). However, there is a limitation in that analysis has been performed based on the pixel of the normalized difference vegetation index. Therefore, there is a need for a chemical accident investigation plan that overcomes the limitations.

A Study on UAV and The Issue of Law of War (무인항공기의 발전과 국제법적 쟁점)

  • Lee, Young-Jin
    • The Korean Journal of Air & Space Law and Policy
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    • v.26 no.2
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    • pp.3-39
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    • 2011
  • People may operate unmanned aerial vehicles (UAVs or drones) thousands of miles from the drone's location. Drones were first used (like balloons) for surveillance. By 2001, the United States began arming drones with missiles and using them to strike targets during combat in Afghanistan. By mid-2010, over forty states and other entities possessed drones, many with the capability of launching missiles and dropping bombs. Each new development in military weapons technology invites assessment of the relevant international law. This Insight surveys the international law applicable to the recent innovation of weaponizing drones. In determining what international law rules govern drone use, the most salient feature is not the fact that drones are unmanned. The fact drones carry no human operator may be the most important new technological breakthrough, but the key feature for international law purposes is the type of weaponry drones carry. Whether law enforcement rules govern drone use depends on the situation and not necessarily who is operating the drone. Battlefield weapons may also be lawfully used before an armed conflict in the following situations: when initiating self-defense under Article 51 of the United Nations Charter; when authorized by the UN Security Council; when a government seeks to suppress internal armed conflict; and, perhaps, when a state is invited to assist a government in suppressing internal armed conflict. The rules governing resort to force in self-defense are found in Article 51 of the UN Charter and a number of decisions by international courts and tribunals. Commentators continue to debate whether drone technology represents the next revolution in military affairs. Regardless of the answer to that question, drones have not created a revolution in legal affairs. The current rules governing battlefield launch vehicles are adequate for regulating resort to drones. More research must be undertaken, however, to understand the psychological effects of deploying unmanned vehicles and the effects on drone operators of sustained, close visual contact with the aftermath of drone attacks.

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Estimation of Potential Risk and Numerical Simulations of Landslide Disaster based on UAV Photogrammetry (무인 항공사진측량 정보를 기반으로 한 산사태 수치해석 및 위험도 평가)

  • Choi, Jae Hee;Choi, Bong Jin;Kim, Nam Gyun;Lee, Chang Woo;Seo, Jun Pyo;Jun, Byong Hee
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.41 no.6
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    • pp.675-686
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    • 2021
  • This study investigated the ground displacement occurring in a slope below a waste-rock dumping site and estimated the likelihood of a disaster due to a landslide. To start with, photogrammetry was conducted by unmanned aerial vehicles (UAVs) to investigate the size and extent of the ground displacement. From April 2019 to July 2020, the average error rate of the five UAV surveys was 0.011-0.034 m, and an elevation change of 2.97 m occurred due to the movement of the soil layer. Only some areas of the slope showedelevation change, and this was believed to be due to thegroundwater generated during rainfall rather than the effect of the waste-rock load at the top. Sensitivity analysis for LS-RAPID simulation was performed, and the simulation results were compared and analyzed by applying a digital elevation model (DEM) and a digital surface model (DSM)as terrain data with 10 m, 5 m, and 4 m grids. When data with high spatial resolution were used, the extent of the sedimentation of landslide material tended to be excessively expanded in the DEM. In contrast, in the result of applying a DSM, which reflects the topography in detail, the diffusion range was not significantly affected even when the spatial resolution was changed, and the sedimentation behavior according to the river shape could be accurately expressed. As a result, it was concluded that applying a DSM rather than a DEM does not significantly expand the sedimentation range, and results that reflect the site situation well can be obtained.

A Fault-tolerant Inertial Navigation System for UAVs Based on Partition Computing (파티션 컴퓨팅 기반의 무인기 고장 감내 관성 항법 시스템)

  • Jung, Byeongyong;Kim, Jungguk
    • KIISE Transactions on Computing Practices
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    • v.21 no.1
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    • pp.29-39
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    • 2015
  • When new inertial navigation systems for an unmanned aerial vehicles are being developed and tested, construction of a fault-tolerant system is required because of various types of hazards caused by S/W and H/W faults. In this paper, a new fault-tolerant flight system that can be deployed into one or more FCCs (Flight Control Computers) is introduced, based on a partition scheme wherein each OFP (Operational Flight Program) partition uses an independent CPU and memory slot. The new fault-tolerant navigation system utilizes one or two FCCs, and executes a primary navigation OFP under development and a stable shadow OFP partition on each node. The fault-tolerant navigation system based on a single FCC can be used for UAVs with small payloads. For larger UAVs, an additional FCC with two OFP partitions can be used to provide both H/W and S/W fault-tolerance. The developed fault-tolerant navigation system significantly removes various hazards in testing new navigation S/Ws for UAVs.

Development of robust flocking control law for multiple UAVs using behavioral decentralized method (다수 무인기의 행위 기반 강인 군집비행 제어법칙 설계)

  • Shin, Jongho;Kim, Seungkeun;Suk, Jinyoung
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.43 no.10
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    • pp.859-867
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    • 2015
  • This study proposes a robust formation flight control technique of multiple unmanned aerial vehicles(UAVs) using behavior-based decentralized approach. The behavior-based decentralized method has various advantages because it utilizes information of neighboring UAVs only instead of information of whole UAVs in the formation maneuvering. The controllers in this paper are divided into two methods: first one is based on position and velocity of neighboring UAVs, and the other one is based on position of neighboring UAVs and passivity technique. The proposed controllers assure uniformly ultimate boundedness of closed-loops system under time varying bounded disturbances. Numerical simulations are performed to validate the effectiveness of the proposed method.

Monocular Vision-Based Guidance and Control for a Formation Flight

  • Cheon, Bong-kyu;Kim, Jeong-ho;Min, Chan-oh;Han, Dong-in;Cho, Kyeum-rae;Lee, Dae-woo;Seong, kie-jeong
    • International Journal of Aeronautical and Space Sciences
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    • v.16 no.4
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    • pp.581-589
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    • 2015
  • This paper describes a monocular vision-based formation flight technology using two fixed wing unmanned aerial vehicles. To measuring relative position and attitude of a leader aircraft, a monocular camera installed in the front of the follower aircraft captures an image of the leader, and position and attitude are measured from the image using the KLT feature point tracker and POSIT algorithm. To verify the feasibility of this vision processing algorithm, a field test was performed using two light sports aircraft, and our experimental results show that the proposed monocular vision-based measurement algorithm is feasible. Performance verification for the proposed formation flight technology was carried out using the X-Plane flight simulator. The formation flight simulation system consists of two PCs playing the role of leader and follower. When the leader flies by the command of user, the follower aircraft tracks the leader by designed guidance and a PI control law, and all the information about leader was measured using monocular vision. This simulation shows that guidance using relative attitude information tracks the leader aircraft better than not using attitude information. This simulation shows absolute average errors for the relative position as follows: X-axis: 2.88 m, Y-axis: 2.09 m, and Z-axis: 0.44 m.

Precision Forestry Using Remote Sensing Techniques: Opportunities and Limitations of Remote Sensing Application in Forestry (원격탐사 기술의 국내 정밀 임업 가능성 검토: 임업분야의 원격탐사 적용사례 분석을 중심으로)

  • Woo, Heesung;Cho, Seungwan;Jung, Geonhwi;Park, Joowon
    • Korean Journal of Remote Sensing
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    • v.35 no.6_2
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    • pp.1067-1082
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    • 2019
  • This review paper presents a review of evidence on systems and technologies for recent remote sensing techniques which were applied into forest and forest related sectors. The paper reviewed remote sensing techniques that will have, or already having, a substantial impact on improving data quality of forest inventory and forest management and planning. The aim of this review is to identify, categorize and discuss Korean and international sources published primarily in the last decades. The focus on remote sensing and ICT technologies examines issues related to their opportunities, limitation, use and impact on the forestry. More specifically, this literature review has focused on laser scanning, satellite imagery, and Unmanned aerial vehicles (UAV) utilization in forest management and inventory analysis.

Tiny Drone Tracking with a Moving Camera (동적 카메라 환경에서의 소형 드론 추적 방법)

  • Son, Sohee;Jeon, Jinwoo;Lee, Injae;Cha, Jihun;Choi, Haechul
    • Journal of Broadcast Engineering
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    • v.24 no.5
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    • pp.802-812
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    • 2019
  • With the rapid development in the field of unmanned aerial vehicles(UAVs) and drones, higher request to development of a surveillance system for a drone is putting forward. Since surveillance systems with fixed cameras have a limited range, a development of surveillance systems with a moving camera applicable to PTZ(Pan-Tilt-Zoom) cameras is required. Selecting the features for object plays a critical role in tracking, and the object has to be represented by their shapes or appearances. Considering these conditions, in this paper, an object tracking method with optical flow is introduced to track a tiny drone with a moving camera. In addition, a tracking method combined with kalman filter is proposed to track continuously even when tracking is failed. Experiments are tested on sequences which have a target from the minimal 12 pixels to the maximal 56337 pixels, the proposed method achieves average precision of 175% improvement. Also, experimental results show the proposed method tracks a target which has a size of 12pixels.