• Title/Summary/Keyword: 드론 운용사례

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A Study on Operational Patterns for Drone Reconnaissance and Attack Missions (정찰 및 공격 임무 수행 드론의 운용양상에 관한 연구)

  • Jong su Park;Keon Young Yi
    • Journal of The Korean Institute of Defense Technology
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    • v.5 no.3
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    • pp.18-28
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    • 2023
  • The threat of drones is widely occurring not only in the military field but also for important national facilities such as airports and nuclear power plants. Drones are very diverse in types and control methods, so it is not easy to have a uniform defense method and system, and with the development of drone technology, the war paradigm using drones as weapons is also changing. In particular, advances in drone technology are improving the efficiency and accuracy of reconnaissance and attack missions. Nevertheless, it is very difficult to secure research cases on military operation of drones due to difficulties in obtaining information on military operations. Therefore, in this study, we try to create basic data that can effectively establish a plan for performing reconnaissance and attack missions by deriving each operational aspect through analysis of operation cases of reconnaissance and attack drones.

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A Study on vulnerability analysis and solution of drones used by GPS (무인항공기 환경에서 별추적 카메라 기반 드론 운용 기법 연구)

  • Hong, Nam-Su;Lee, Jae-Seung;Gang, Jung-Ho;Jun, Moon-Soeg
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.04a
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    • pp.246-249
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    • 2016
  • 최근 무인항공기 기술이 발달함에 따라, 군사, 교통, 농업 등 드론의 활용분야가 다양해지고 있다. 하지만 드론이 다양한 분야에 활용되고 있음에도 불구하고, 아직까지 다양한 취약점에 노출되어 다양한 피해를 야기 시키고 있다. 실제 현재 활용되는 드론의 경우 대부분 위치를 찾고 보정하기 위해 GPS가 활용되고 있지만, GPS의 경우 GPS스푸핑, GPS재밍 등 다양한 취약점에 노출되고 있으며, GPS 취약점에 기반 하여 드론의 추락 및 권한 획득 등의 다양한 사건사고가 발생하였다. 따라서 본 논문에서는 현재 GPS를 사용하는 드론들의 보안 사례와 취약성을 분석하고 이를 해결하기 위한 방안으로 별추적 카메라 기반 드론 운용 기법을 제안한다.

Study on Possible Use of Navy's Future Military Drone (해군의 향후 군사용 드론 활용 가능방안 연구)

  • Kim, Jin-Gwang;Lee, Sang-Hoon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.01a
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    • pp.83-86
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    • 2020
  • 본 논문에서는 해군의 향후 군사용 드론 활용 가능방안을 제안한다. AI, 자율주행 등의 4차 산업혁명 기술들과 함께 상용분야에서는 이미 다양한 드론 활용방안들이 제시되고 있으며, 육군은 이에 발맞춰 2018년 10월 드론봇 전투단을 창설하여 운용 중에 있다. 하지만 아직 해군의 군사용 드론 운용 및 활용방안 등에 관한 연구는 미진하며, 따라서 현재 해군의 군용 드론 활용현황을 살펴보고 객체인식, 자율주행 등의 최신기술과 상용활용 사례 등을 군에 접목시켜 앞으로의 활용 가능방안에 대해서 제안하고자 한다.

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A Study on the Effective Utilization of Public Service Drones - Focused on Search and Rescue Drones - (공공임무용 드론의 효과적 활용방안에 관한 연구 - 실종자 수색용 드론을 중심으로 -)

  • Kang, Wook
    • Korean Security Journal
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    • no.62
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    • pp.65-86
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    • 2020
  • Drones, which were originally developed for military purpose, have expanded rapidly not only in hobbies, leisure, but also in broadcasting, filming, and public sectors, and search and rescue drones have been used to find four Korean teachers who went to Nepal for volunteer work but went missing in the avalanche. The government is encouraging the use of drones in the public sector as a policy to foster the drone industry, and the market is expected to expand in the future. This study presents improvement measures and specific directions for use of drones by public agencies at a time when the use of drones is expanding in the public sector. To that end, this research reviewed the interviews of relevant experts, analysis of drone operation regulations by public agencies, and the cases of operation of drones for searching missing persons by police. First of all, it will have to secure skilled personnel before the introduction of the drones and then determine the specifications of the drones through sufficient review, and then be put into the mission after careful examination of the drones. Next, it is necessary to draw up a base rule for drone operation and draw up a manual accordingly. Finally, drone flight has the risk of a crash, and it is essential to secure dedicated personnel for drone operation, especially since drones in the public sector are specialized in large scale compared to hobby drones to achieve their purpose. This research only conducted a detailed analysis of the National Police Agency's drones for searching for missing persons, and there are limitations to the number of people interviewed. Subsequent studies will require analysis of various public institutions, and in addition to interviews, surveys will require analysis of various data and statistics.

A Study on Overseas Battle Cases Using Combat Drone (공격 드론을 활용한 해외 전투사례 연구)

  • Sang-Hyuk Park;Sung-Kwon Kim;Seung-Pil Namgung
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.403-407
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    • 2023
  • This study started with the background that future South Korean military organizations should develop a complex system linking unmanned systems by analyzing and considering cases using "drone," which has recently become an essential means of war. In 2014 and 2022, South Korea is facing serious security threats from North Korean drones that have recently invaded South Korea's airspace in a row. If a North Korean drone was loaded with explosives and poisonous gas and invaded our airspace, the damage would be more serious. Furthermore, what the Azerbaijan-Armenian War of 2020 and the ongoing Ukraine-Russia war have in common is that battles using "combat drones" are underway. Watching this shift in the domestic and overseas war paradigm, drones have become essential for military operations. In the context of a "ceasefire" and the military environment on the Korean Peninsula, South Korea should actively develop "Combat drones" that take into account precise strikes and portability against targets linked to military drones.

Machine learning based radar imaging algorithm for drone detection and classification (드론 탐지 및 분류를 위한 레이다 영상 기계학습 활용)

  • Moon, Min-Jung;Lee, Woo-Kyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.5
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    • pp.619-627
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    • 2021
  • Recent advance in low cost and light-weight drones has extended their application areas in both military and private sectors. Accordingly surveillance program against unfriendly drones has become an important issue. Drone detection and classification technique has long been emphasized in order to prevent attacks or accidents by commercial drones in urban areas. Most commercial drones have small sizes and low reflection and hence typical sensors that use acoustic, infrared, or radar signals exhibit limited performances. Recently, artificial intelligence algorithm has been actively exploited to enhance radar image identification performance. In this paper, we adopt machined learning algorithm for high resolution radar imaging in drone detection and classification applications. For this purpose, simulation is carried out against commercial drone models and compared with experimental data obtained through high resolution radar field test.

Development of Automatic Test Equipment for Hardware Verification of Aircraft Stores Management Computer (항공기용 무장관리컴퓨터 하드웨어 검증을 위한 자동시험 장비 개발)

  • Oh, Soo-heon;Jeon, Eun-seon;Kim, Kap-dong;Park, Jun-hyun
    • Journal of Advanced Navigation Technology
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    • v.25 no.5
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    • pp.377-383
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    • 2021
  • In this paper, we describe the case of automatic test equipment development for hardware verification of stores management computer mounted on aircraft. Recently, the required functions of aircraft have been diversified and the related technologies of avionics equipment have developed, and the types and quantity of interfaces required for avionics equipment have increased. In addition to the existing old stores, the stores management computer also needs to control the interface in large quantities as the requirements for the new stores are added. For this reason, the time and manpower required for the inspection of avionic equipment are also increasing, and if the test process of avionic equipment can be automated and unmanned, more efficient inspection system operation will be possible. Therefore, this paper introduces the case of designing test software and test scenario to automate the structural design contents and verification process of test equipment required for the verification of hardware function of stores management computer.

A Case Study on FPV Drone Combats of the Ukrainian Forces (우크라이나군의 FPV드론 전투 사례 연구)

  • Kang-Il Seo;Sang-Keun Cho;Sang-Hyuk Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.263-270
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    • 2023
  • The Ukraine-Russia war is a testing ground for High-Tech weapons and the first full-scale drone warfare. The Ukrainian military has been aggressively deploying a variety of reconnaissance and attack drones on the battlefield, and more recently, FPV drones, also known as racing drones, have been fitted with bombs as a game-changer in small-unit combat. To better understand these FPV drones, this article reviews their definition, aircraft components, and key characteristics, and draws implications from the Ukrainian military's FPV combat experience. In the future, the combination of artificial intelligence and swarming technology will make FPV drones even more lethal. Accordingly, the need to develop FPV drones suitable for the future operational environment on the Korean Peninsula is increasing, and follow-up research is needed to specify fighting methods and optimize related technologies.

Third Party's Legal Interest Protection from Commercialization of Drones -A focus on Decision of the German District Court- (카메라 장착 드론에 대한 지상 제3자의 법익 보호 - 독일의 하급심 판결을 중심으로 -)

  • Kim, Sung-Mi
    • The Korean Journal of Air & Space Law and Policy
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    • v.35 no.1
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    • pp.3-32
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    • 2020
  • With controlling Drones, although it was discussed in the previous study which showed a possibility. Which is personality and property rights of third parties could be violated while operating the drone with a video camera. But It's hard to find out precedents related to drones in Korea. In case of that someone try to control the drone which is equipped with a camera in a yard of neighborhood, the German District Court (Potsdam) considered an operator of drone has little bit of careless to do his duty and admit nonfeasance claim in the owner of the one's property for prevention to repetition of similar situation according to a nonfeasance claim for prevention to Section 1004 (1) sentence 2 of the German Civil Code(BGB). The drone which is equipped with a camera have possibilities to disrupt property and personal rights of the owner. Because a danger in repetition is getting larger regarding the violation of law. Moreover, there is a case that someone shot down the drone which is equipped with a camer. Because it has a risk to interrupt private life and cause some dangerous in our life. The German district court(Riesa) recently have considered that controlling the drone with a camera in private spaces is illegal as a violation of personal life. In addtion to, the action of property owner shot down drone is a legal according to § 228 of the German Civil Code(BGB) which is caleed "Necessity". Although it is difficult to apply to foreign cases directly to Korea, similar cases are likely to be occurred in Korea. The decision of the German District Court showed implications to Korea. As demand for the camera-equipped drone increases in Korea, it is time to discuss specific measures for drone violations.

Drone-Based Micro-SAR Imaging System and Performance Analysis through Error Corrections (드론을 활용한 초소형 SAR 영상 구현 및 품질 보상 분석)

  • Lee, Kee-Woong;Kim, Bum-Seung;Moon, Min-Jung;Song, Jung-Hwan;Lee, Woo-Kyung;Song, Yong-Kyu
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.27 no.9
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    • pp.854-864
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    • 2016
  • The use of small drone platform has become a popular topic in these days but its application for SAR operation has been little known due to the burden of the payload implementation. Drone platforms are distinguished from the conventional UAV system by the increased vulnerability to the turbulences, control-errors and poor motion stability. Consequently, sophisticated motion compensation may be required to guarantee the successful acquisition of high quality SAR imagery. Extremely limited power and mass budgets may prevent the use of additional hardwares for motion compensation and the difficulty of SAR focusing is further aggravated. In this paper, we have carried out a feasibility study of mico-SAR drone operation. We present the image acquisition results from the preliminary flight tests and a quality assessment is followed on the experimental SAR images. The in-flight motion errors derived from the unique drone movements are investigated and attempts have been made to compensate for the geometrical and phase errors caused by motions against the nominal trajectory. Finally, the successful operation of drone SAR system is validated through the focussed SAR images taken over test sites.