• Title/Summary/Keyword: Aerial reconnaissance

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Design of the Step-stare Image Gathering System for an Aerial Reconnaissance (항공 정찰용 Step-stare 영상획득 시스템 설계)

  • Baek, Woonhyuk;Park, Jaeyoung;Ahn, Junghun;Lee, Jungsuk
    • Journal of the Korean Society for Precision Engineering
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    • v.31 no.9
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    • pp.813-820
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    • 2014
  • This paper presents design and performance validation of a method for motion compensation using fast steering mirror. First of all, the schematics of the Electro Optical/Infra-Red (EO/IR) and step-stare image gathering system for an aerial reconnaissance are introduced. Because of the steering mirror with low inertia so called Back scan mechanism (BSM), the fast step-stare image gathering technique that is required for taking a high-definition still image will be realized. After then, the BSM hardware includes motors and feedback sensors are introduced. Also, the motion profile for BSM will be designed to compensate roll scan motion of the gimbals. At the end of this paper, designed profile and tracking performance of the EO/IR system with BSM will be validated through experiments.

Design of Fusion Platform Robot for Ground and Aerial Reconnaissance (항공 및 지상 동시 정찰이 가능한 융합형 정찰로봇 설계)

  • Jang, Dong-Hwi;Ko, Hyun-Jun;Kim, Jong-Hyeong
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.24 no.6
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    • pp.718-723
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    • 2015
  • This paper describes the conceptual platform design of a dual-capable robot for both driving on the ground and flying in the air. The dual-capable robot can move over all types of terrain for both ground and aerial reconnaissance. The main design problem of the robot is how to make a wheel for both driving and flying. The proposed key design concept is a hubless driving wheel that contains a propeller inside for flying in the air. The primary design parameters and initial specifications were confirmed through an examination of the conceptual design, and functional tests were then conducted using a real prototype robot for driving and flying modes. The test results show the feasibility of the proposed design concept.

Development of Autonomous Reconnaissance Flight Simulation for Unmanned Aircraft to Derive Flight Operating Condition (자율정찰비행 무인항공기의 비행운영조건 고찰을 위한 비행시뮬레이션 개발)

  • Seok, Min Joon
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.47 no.4
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    • pp.266-273
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    • 2019
  • The efficiency and effectiveness of mission performance can be greatly changed according to the operating conditions such as the number of manned aircraft, flight altitude, and so on, in performing search and reconnaissance missions using a large number of small reconnaissance unmanned aerial vehicles. However, it is not easy to determine which operating conditions are most reasonable. Therefore, in this study, we developed an unmanned airplane flight simulation that can detect and identify the target while avoiding collision according to autonomous flight, suggesting a way to derive operating conditions when operating a large number of unmanned aerial vehicles.

UAV Path Creation Tool for Wildfire Reconnaissance in CPS Environment (CPS환경에서 산불 정찰을 위한 무인기 비행경로 생성 도구)

  • Ji-Won Jeong;Chang-Hui Bae;EuTeum Choi;SeongJin Lee
    • IEMEK Journal of Embedded Systems and Applications
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    • v.18 no.6
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    • pp.327-333
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    • 2023
  • Existing studies on the UAV (Unmanned Aerial Vehicle)-based CPS (Cyber Physical System) environment lack forest fire monitoring and forest fire reconnaissance using real-world UAVs. So, it is necessary to monitor forest fires early through CPS based on real-world UAVs with high reliability and resource management efficiency. In this paper presents an MFG (Misstion File Generater) that automatically generates a flight path of an UAV for forest fire monitoring in a CPS environment. MFG generates flight paths based on a hiking trail with a high fire probability due to a true story of an entrant. We have confirmed that the flight path generated by MFG can be applied to the UAV. Also, we have verified that the UAV flies according to the flight path generated by MFG in simulation, with a negligible error rate.

Case Study on the Trends of North Korean Strategic UAV 'Satbyol'

  • Kang-Il Seo;Jong-Hoon Kim;Man-Hee Won;Dong-Min Lee;Jae-Hyung Bae;Sang-Hyuk Park
    • International Journal of Advanced Culture Technology
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    • v.11 no.4
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    • pp.317-321
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    • 2023
  • After 'emphasizing the development of the precision reconnaissance drone' in 2021, North Korea unveiled two strategic drones in July 2023, just two years later. Despite the majority of experts offering negative assessments and stating that "the performance may not be good," North Korea can be seen as having not only enhanced its routine surveillance capabilities through strategic drones but also possessing limited long-range strike capabilities. In other words, although the performance of North Korea's strategic unmanned aerial vehicles (UAVs), namely the 'Satbyol-4' and '9' models, may not match that of U.S. drones, they appear to play a significant role in offsetting North Korea's considerable aerial and surveillance inferiority compared to the joint forces of South Korea and the United States. Based on these trends, North Korea seems to be concentrating on drone development to counterbalance its considerable aerial power and surveillance capabilities deficit compared to the joint forces of South Korea and the United States, especially as the global use of drones continues to increase.

A Study on the design of Unmanned Autonomous Helicopter for Aerial Monitoring and Control of a Large Size Disaster and Forest Fire (대형재난 및 산불 공중지휘통제용 무인자율헬기 개발에 관한연구)

  • Kim, Jong-Kwon;Kwark, Ji-Hyun;Son, Bong-Sei
    • Proceedings of the Korea Institute of Fire Science and Engineering Conference
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    • 2008.11a
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    • pp.105-110
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    • 2008
  • Unmanned helicopter has several abilities such as vertical take off, hovering, low speed flight at a specific altitude. Such vehicles are becoming popular in actual applications such as search and rescue, aerial reconnaissance and surveillance in the case of a large size disaster and forest fire. In this paper, a flight control system was designed for an unmanned helicopter. This paper was concentrated on describing the systematic design, electronic equipments and their interconnections for realizing the autonomous flight and aerial monitoring. A study on the autonomous waypoint navigation and altitude control performance were performed and tested on a test unmanned helicopter and the performance and the feasibility were represented.

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A Path Planning to Maximize Survivability for Unmanned Aerial Vehicle based on 3-dimensional Environment (3차원 환경 기반 무인 항공기 생존성 극대화를 위한 이동 경로 계획)

  • Kim, Ki-Tae;Jeon, Geon-Wook
    • IE interfaces
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    • v.24 no.4
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    • pp.304-313
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    • 2011
  • An Unmanned Aerial Vehicle(UAV) is a powered pilotless aircraft, which is controlled remotely or autonomously. UAVs are currently employed in many military missions(surveillance, reconnaissance, communication relay, targeting, strike etc.) and a number of civilian applications(communication service, broadcast service, traffic control support, monitoring, measurement etc.). For accomplishing the UAV's missions, guarantee of survivability should be preceded. The main objective of this study is the path planning to maximize survivability for UAV based on 3-dimensional environment. A mathematical programming model is suggested by using MRPP(Most Reliable Path Problem) and solved by transforming MRPP into SPP(Shortest Path Problem). This study also suggests a $A^*PS$ algorithm based on 3-dimensional environment to UAV's path planning. According to comparison result of the suggested algorithm and SPP algorithms (Dijkstra, $A^*$ algorithm), the suggested algorithm gives better solution than SPP algorithms.

A Selection of Path Planning Algorithm to Maximize Survivability for Unmanned Aerial Vehicle (무인 항공기 생존성 극대화를 위한 이동 경로 계획 알고리즘 선정)

  • Kim, Ki-Tae;Jeon, Geon-Wook
    • Journal of the Korea Safety Management & Science
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    • v.13 no.2
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    • pp.103-113
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    • 2011
  • This research is to select a path planning algorithm to maximize survivability for Unmanned Aerial Vehicle(UAV). An UAV is a powered pilotless aircraft, which is controlled remotely or autonomously. UAVs are currently employed in many military missions(surveillance, reconnaissance, communication relay, targeting, strike etc.) and a number of civilian applications(communication service, broadcast service, traffic control support, monitoring, measurement etc.). In this research, a mathematical programming model is suggested by using MRPP(Most Reliable Path Problem) and verified by using ILOG CPLEX. A path planning algorithm for UAV is selected by comparing of SPP(Shortest Path Problem) algorithms which transfer MRPP into SPP.