• 제목/요약/키워드: Unmanned Ground System

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전군 공통 서비스 구현을 위한 국방 IoT 적용방향 연구 (A Study on the Application of Defense IoT for the Implementation of Common Service in the Army, Navy, and Air Force)

  • 배영민
    • 산업경영시스템학회지
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    • 제45권3호
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    • pp.31-39
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    • 2022
  • The Army, Navy, and Air Force are currently making various efforts to apply defense IoT technology by reflecting the characteristics of each military. However, there are concerns that comprehensive collection, management, and analysis may be limited because each military has no overlapping system or guaranteed interoperability of data, and there are inefficient aspects in terms of using and investing a limited defense budget. In this study, evaluation items and priorities for pilot projects were selected by applying Delphi technique and AHP method to determine which projects are preferentially effective when commonly applied in terms of Army, Navy, and Air force. As a result of the analysis, the project basis and driving force, project feasibility, performance and ripple effect, redundancy and connection were identified in the order of IoT-based small detachment units and unmanned base construction, intelligent smart unit, smart ground ammunition depot, and smart training management system. According to the comprehensive results reflecting the weights of each evaluation item, the fact that small detachment units and unmanned base construction project are recognized as the first project to be applied to the Army, Navy, and Air Force is a valid approach to be effective while each military is burdened with personnel management because of the reduction of manpower. Through the research results, it is expected that the direction of application to the policy of the defense IoT project can be confirmed in terms of efficient use of limited budgets.

ITU 모델을 이용한 공용데이터링크 기반의 공중중계 시스템의 커버리지 예측 (Coverage Prediction for Aerial Relay Systems based on the Common Data Link using ITU Models)

  • 박재수;송영환;최효기;윤창배;황찬호
    • 한국전자통신학회논문지
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    • 제15권1호
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    • pp.21-30
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    • 2020
  • 본 논문에서는 국제전기통신연합에서 권고하는 경로손실 예측모델을 이용하여 지상통제소와 무인 항공기 사이의 공대지 채널에 대한 경로손실을 예측하고, 이를 공대공 채널로 확장하여 중고도급 무인 항공기를 기반으로 하는 공중중계 시스템에 대한 네트워크 커버리지를 분석한다. 대기에 의한 경로손실 예측을 위해 한반도의 기후 및 지리적 인자를 활용하였다. 특히 국내의 강우량 및 유효지구반경 인자는 한국정보통신기술협회에서 공시한 실측 데이터를 활용하여 정확도를 높였다. 또한, 공중중계 송수신기는 현재 국내에서 개발 완료된 공용데이터링크 시스템의 주요지표를 활용하였다. 예측 결과로부터 임무 고도가 높아질수록 공중중계 시스템의 네트워크 커버리지가 넓어짐을 확인하였다.

무인차량 자율주행을 위한 레이다 영상의 정지물체 너비추정 기법 (Width Estimation of Stationary Objects using Radar Image for Autonomous Driving of Unmanned Ground Vehicles)

  • 김성준;양동원;김수진;정영헌
    • 한국군사과학기술학회지
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    • 제18권6호
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    • pp.711-720
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    • 2015
  • Recently many studies of Radar systems mounted on ground vehicles for autonomous driving, SLAM (Simultaneous localization and mapping) and collision avoidance have been reported. Since several pixels per an object may be generated in a close-range radar application, a width of an object can be estimated automatically by various signal processing techniques. In this paper, we tried to attempt to develop an algorithm to estimate obstacle width using Radar images. The proposed method consists of 5 steps - 1) background clutter reduction, 2) local peak pixel detection, 3) region growing, 4) contour extraction and 5)width calculation. For the performance validation of our method, we performed the test width estimation using a real data of two cars acquired by commercial radar system - I200 manufactured by Navtech. As a result, we verified that the proposed method can estimate the widths of targets.

멀티 스펙트럴 이미지 센서를 이용한 감자의 생육정보 예측 (Estimation of the Potato Growth Information Using Multi-Spectral Image Sensor)

  • 강태환;야구신
    • Journal of Biosystems Engineering
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    • 제36권3호
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    • pp.180-186
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    • 2011
  • The objective of this research was to establish the estimation method of growth information on potato using Multi-Spectral Image Sensor (MSIS) and Global Positioning System (GPS). And growth estimation map for determining a prescription map over the entire field was generated. To determine the growth model, 10 ground-truth points of areas of $4m^2$ each were selected and investigated. The growth information included stem number, crop height and SPAD value. In addition, images information involving the ground-truth points were also taken by an unmanned helicopter, and reflectance value of Green, Red, and NIR bands were calculated with image processing. Then, growth status of potato was modeled by multi-regression analysis using these reflectance value of Green, Red, and NIR. As a result, potato growth information could be detected by analyzing Green, Red, and NIR images. Stem number, crop height and SPAD value could be estimated with $R^2$ values of 0.600, 0.657 and 0.747 respectively. The generated GIS map would describe variability of the potato growth in a whole field.

농경지 지역 무인항공기 영상 기반 시계열 수치표고모델 표고 보정 (Elevation Correction of Multi-Temporal Digital Elevation Model based on Unmanned Aerial Vehicle Images over Agricultural Area)

  • 김태헌;박주언;윤예린;이원희;한유경
    • 한국측량학회지
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    • 제38권3호
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    • pp.223-235
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    • 2020
  • 본 연구에서는 무인항공기 영상 기반의 정밀농업(precision agricultural) 구현에 있어 핵심 데이터 중 하나인 수치표고모델의 표고를 보정하기 위한 수치표고모델 표고 보정 방법론을 제시한다. 먼저 정사영상에 방사보정을 수행한 다음 ExG (Excess Green)를 생성한다. ExG에 Otsu 기법을 적용하여 산출된 임계값을 기준으로 비식생지역을 추출한다. 이어서, 비식생지역의 위치에 대응되는 수치표고모델의 표고를 표고 보정을 위한 데이터인 EIFs(Elevation Invariant Features)로 추출한다. 추출된 EIFs 간 차이값을 기반으로 정규화된 Z-score를 산출하여 포함된 특이치를 제거한다. 그리고 선형회귀식을 구성하여 수치표고모델의 표고를 보정함으로써 지상기준점 데이터 없이 고품질의 수치표고모델을 제작한다. 총 10장의 수치표고모델을 활용하여 제안기법을 검증하기 위해 표고 보정 전과 후의 최대/최소값, 평균/표준편차를 비교분석하였다. 또한, 검사점을 선정하여 RMSE (Root Mean Square Error)를 산출한 결과, 정확도는 평균 RMSE 0.35m로 도출되었다. 이를 통해 지상기준점 데이터 없이 고품질의 수치표고모델을 제작할 수 있음을 확인하였다.

Combined Static and Dynamic Platform Calibration for an Aerial Multi-Camera System

  • Cui, Hong-Xia;Liu, Jia-Qi;Su, Guo-Zhong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권6호
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    • pp.2689-2708
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    • 2016
  • Multi-camera systems which integrate two or more low-cost digital cameras are adopted to reach higher ground coverage and improve the base-height ratio in low altitude remote sensing. To guarantee accurate multi-camera integration, the geometric relationship among cameras must be determined through platform calibration techniques. This paper proposed a combined two-step platform calibration method. In the first step, the static platform calibration was conducted based on the stable relative orientation constraint and convergent conditions among cameras in static environments. In the second step, a dynamic platform self-calibration approach was proposed based on not only tie points but also straight lines in order to correct the small change of the relative relationship among cameras during dynamic flight. Experiments based on the proposed two-step platform calibration method were carried out with terrestrial and aerial images from a multi-camera system combined with four consumer-grade digital cameras onboard an unmanned aerial vehicle. The experimental results have shown that the proposed platform calibration approach is able to compensate the varied relative relationship during flight, acquiring the mosaicing accuracy of virtual images smaller than 0.5pixel. The proposed approach can be extended for calibrating other low-cost multi-camera system without rigorously mechanical structure.

멀티로터 무인항공기의 전기추진계통 성능예측에 대한 연구 (Study on Performance Prediction of Electric Propulsion System for Multirotor UAVs)

  • 정진석;변영섭;송우진;강범수
    • 한국정밀공학회지
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    • 제33권6호
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    • pp.499-508
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    • 2016
  • This paper describes a study of performance prediction of an electric propulsion system for multirotor UAVs. The electric propulsion system consists of motors, propellers, batteries and speed controllers, and significantly affects performance characteristics of the platform. The performance of the electric propulsion system for multirotor UAVs was predicted using an analytical model derived from the characteristics of each component, operation experiments and statistical analyses. Ground performance tests and endurance flights were performed to verify the reliability of the proposed performance prediction method. A quadrotor platform was designed to demonstrate the parcel delivery service used in the endurance flight. From the result of verification tests, it was confirmed that the proposed method has a good agreement.

시스템엔지니어링 기법 적용에 따른 경량전철사업의 RAM적용에 관한 고찰 (A Study on the RAM Application of a Light Rail Transit Business, Ac-cording to the Technique Application in System Engineering)

  • 이성권;민경세;전서탁;정계용
    • 시스템엔지니어링학술지
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    • 제7권2호
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    • pp.13-19
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    • 2011
  • A LRT(Light Rail Transit) is one of the Future Urban Railway Development Project. The project's goal is to reduce a transportation congestion in the center of the city. New transportation is intensely required in order to overcome a limit of the ground transportation that is the existing public transportation, A LRT(Light Rail Transit) construction project to be based on an unmanned driving system is the large composition system that a vehicle, a signal, communication, electric, track etc. were organically integrated as echo-friendly urban transportation systems. It also put a huge budget, which is a large-scale infrastructure projects. It is international trend that Light Rail Transit projects apply a technique in System Engineering for a schedule, cost, quality elevations, and to approach in viewpoints of life-cycle from initial construction steps to operation, abolition. This paper intends to analyze RAM requirements taking into consideration ISO/IEC 15288 throughout life-cycle from concept, design, manufacture, operation and maintenance to the final phase, decommissioning, and the study seeks to suggest directions of efficient use to domestic LRT projects.

UAV를 이용한 소하천 지형자료 구축에 관한 효율성 제고 (An Improvement of Efficiently Establishing Topographic Data for Small River using UAV)

  • 여한조;최승필;유연
    • 대한공간정보학회지
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    • 제24권1호
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    • pp.3-8
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    • 2016
  • 최근 무인항공기(UAV, Unmanned Airborne Vehicles)의 기술적 발달로 해상도와 정확도가 증가함에 따라 다양한 분야에서 활용되고 있다. 이러한 무인항공기는 지표면의 영상취득뿐만 아니라 저고도로 촬영할 경우 하천 저수심부의 영상도 취득할 수 있는 장점을 지니고 있다. 따라서 본 연구에서는 무인항공기를 저고도로 촬영하여 하천지형정보를 취득하고 수심에 따른 정확도 분석을 수행하였다. 수심정확도 분석은 저수심부 지형의 GPS 관측값과 무인항공기 영상에서 생성한 DSM 값을 비교 분석을 하였다. 수심이 50cm이하에서의 저수심부는 일반측량 작업규정의 하천공사 설계측량의 수직위치 정확도 ${\pm}10cm$를 만족시킴을 알 수 있었다. 이러한 결과는 수심이 깊지 않은 하천의 경우 무인항공기 촬영으로 취득한 하천지형자료가 수심측량 자료로 유용하게 사용될 수 있음을 보였다.

무인항공기 비행제어 HILS 시험환경 연구 (A Study on UAV Flight Control System HILS Test Environment)

  • 변진구;허기봉;이광현;석진영
    • 한국항공우주학회지
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    • 제44권4호
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    • pp.316-323
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    • 2016
  • 무인항공기는 자동모드에서는 사전에 계획된 항로점(비행이거나 이/착륙)들을 입력받아 자동으로 비행한다. 무인항공기는 수동모드에서도 유인항공기와 달리 조종사가 비행체에 탑승하지 않고 지상 통제실에서 조종입력을 인가하면 무선 데이터링크를 통하여 조종입력을 전달 받아 비행하게 된다. 데이터 링크는 여러 가지 이유로 통신두절이 될 수 있으며, 이때 무인항공기는 자동으로 비행모드를 수동에서 자동으로 전환하여 비행해야 한다. 그러므로 무인항공기에서 비행조종컴퓨터는 비행안전을 담당하는 매우 중요한 장비로 철저한 검증이 요구된다. 본 논문은 무인항공기의 비행제어컴퓨터가 비행성 요구조건을 만족하고, 다양한 고장이나 비상상황에서도 강건함을 입증할 수 있도록 비행제어 알고리즘의 검증환경인 HILS(Hardware In the Loop Simulation) 시험환경을 개발할 때 고려해야 할 사항들을 연구한 것으로 비행제어 HILS 시험환경의 구성장비들과 기타 고려사항 들을 제시한다.