• 제목/요약/키워드: Autonomous Situational Awareness

검색결과 5건 처리시간 0.017초

Development of an Autonomous Situational Awareness Software for Autonomous Unmanned Aerial Vehicles

  • Kim, Yun-Geun;Chang, Woohyuk;Kim, Kwangmin;Oh, Taegeun
    • 항공우주시스템공학회지
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    • 제15권2호
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    • pp.36-44
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    • 2021
  • Unmanned aerial vehicles (UAVs) are increasingly needed as they can replace manned aircrafts in dangerous military missions. However, because of their low autonomy, current UAVs can execute missions only under continuous operator control. To overcome this limitation, higher autonomy levels of UAVs based on autonomous situational awareness is required. In this paper, we propose an autonomous situational awareness software consisting of situation awareness management, threat recognition, threat identification, and threat space analysis to detect dynamic situational change by external threats. We implemented the proposed software in real mission computer hardware and evaluated the performance of situational awareness toward dynamic radar threats in flight simulations.

무인전투차량 요구사항분석 연구: 원격통제 및 자율주행 중심으로 (A Study on Requirement Analysis of Unmanned Combat Vehicles: Focusing on Remote-Controlled and Autonomous Driving Aspect)

  • 김동우;최인호
    • 시스템엔지니어링학술지
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    • 제18권2호
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    • pp.40-49
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    • 2022
  • Remote-controlled and autonomous driving based on artificial intelligence are key elements required for unmanned combat vehicles. The required capability of such an unmanned combat vehicle should be expressed in reasonable required operational capability(ROC). To this end, in this paper, the requirements of an unmanned combat vehicle operated under a manned-unmanned teaming were analyzed. The functional requirements are remote operation and control, communication, sensor-based situational awareness, field environment recognition, autonomous return, vehicle tracking, collision prevention, fault diagnosis, and simultaneous localization and mapping. Remote-controlled and autonomous driving of unmanned combat vehicles could be achieved through the combination of these functional requirements. It is expected that the requirement analysis results presented in this study will be utilized to satisfy the military operational concept and provide reasonable technical indicators in the system development stage.

Tracking of ARPA Radar Signals Based on UK-PDAF and Fusion with AIS Data

  • Chan Woo Han;Sung Wook Lee;Eun Seok Jin
    • 한국해양공학회지
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    • 제37권1호
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    • pp.38-48
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    • 2023
  • To maintain the existing systems of ships and introduce autonomous operation technology, it is necessary to improve situational awareness through the sensor fusion of the automatic identification system (AIS) and automatic radar plotting aid (ARPA), which are installed sensors. This study proposes an algorithm for determining whether AIS and ARPA signals are sent to the same ship in real time. To minimize the number of errors caused by the time series and abnormal phenomena of heterogeneous signals, a tracking method based on the combination of the unscented Kalman filter and probabilistic data association filter is performed on ARPA radar signals, and a position prediction method is applied to AIS signals. Especially, the proposed algorithm determines whether the signal is for the same vessel by comparing motion-related components among data of heterogeneous signals to which the corresponding method is applied. Finally, a measurement test is conducted on a training ship. In this process, the proposed algorithm is validated using the AIS and ARPA signal data received by the voyage data recorder for the same ship. In addition, the proposed algorithm is verified by comparing the test results with those obtained from raw data. Therefore, it is recommended to use a sensor fusion algorithm that considers the characteristics of sensors to improve the situational awareness accuracy of existing ship systems.

자율적인 상황인식을 위한 다중센서 위협데이타의 귀납적 분류 (Inductive Classification of Multi-Spectral Threat Data for Autonomous Situation Awareness)

  • 정용웅;노상욱;고은경;정운섭
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제35권3호
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    • pp.189-196
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    • 2008
  • 본 논문은 복잡한 실시간 환경에서 인간의 의사결정을 대체하는 자율적인 에이전트의 구축을 위하여 필수적인 지식베이스의 형성과정을 제안하며, 지식베이스의 형성과정에 대한 방법론을 실질적인 응용 도메인에서 검증한다. 한국형 헬기의 두뇌역할을 수행하는 생존체계장비가 실시간 전장 환경에서 여러 개의 센서로부터 수신하는 위협 데이타를 분석하고, 위협 데이타의 특성과 위협간의 상호 연관성을 컴파일 과정을 통하여 귀납적 모델로 정형화한다. 규범화된 상황-행동 규칙은 헬기가 복잡한 전장 환경에서 실시간 추론 시간을 줄이며, 자율적으로 위협에 대처할 수 있는 능력을 갖추도록 할 것이다. 제안한 방법론의 검증을 위하여 한국형 헬기의 위협을 실험적으로 분류하였으며, 컴파일 과정이 위협을 성공적으로 탐지할 수 있음을 보여주었다.

OWL-Net: A global network of robotic telescopes

  • Kim, Myung-Jin;Yim, Hong-Suh;Roh, Dong-Goo;Choi, Jun;Park, Jang-Hyun;Kyeong, Jaemann;Park, Young-Sik;Jo, Jung Hyun;Han, Wonyong;Yu, Jiwoong;Moon, Hong-Kyu;Park, Yoon-Ho;Cho, Sungki;Choi, Yong-Jun;Choi, Eun-Jung
    • 천문학회보
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    • 제46권1호
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    • pp.61.1-61.1
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    • 2021
  • OWL-Net (Optical Wide-field patroL Network) is the first space situational awareness facility of its kind in South Korea which consists of five identical 0.5 m wide-field telescopes with 4K by 4K CCDs. The five stations are located in Mongolia, Morocco, Israel, United States, and South Korea. They are being operated in fully autonomous mode with the minimum human intervention. The primary objective of OWL-Net is to track Korean domestic satellites. In addition, it can be possible to conduct time-series photometry of bright solar system objects. We will present the system overview of the OWL-Net telescopes and progress report.

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