• Title/Summary/Keyword: Autonomous Situational Awareness

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

  • Kim, Yun-Geun;Chang, Woohyuk;Kim, Kwangmin;Oh, Taegeun
    • Journal of Aerospace System Engineering
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    • v.15 no.2
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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.

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

  • Dong Woo, Kim;In Ho, Choi
    • Journal of the Korean Society of Systems Engineering
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    • v.18 no.2
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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
    • Journal of Ocean Engineering and Technology
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    • v.37 no.1
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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.

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

  • Jeong, Yong-Woong;Noh, Sang-Uk;Go, Eun-Kyoung;Jeong, Un-Seob
    • Journal of KIISE:Software and Applications
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    • v.35 no.3
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    • pp.189-196
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    • 2008
  • To build autonomous agents who can make a decision on behalf of humans in time-critical complex environments, the formulation of operational knowledge base could be essential. This paper proposes the methodology of how to formulate the knowledge base and evaluates it in a practical application domain. We analyze threat data received from the multiple sensors of Aircraft Survivability Equipment(ASE) for Korean helicopters, and integrate the threat data into the inductive model through compilation technique which extracts features of the threat data and relations among them. The compiled protocols of state-action rules can be implemented as the brain of the ASE. They can reduce the amounts of reasoning, and endow the autonomous agents with reactivity and flexibility. We report experimental results that demonstrate the distinctive and predictive patterns of threats in simulated battlefield settings, and show the potential of compilation methods for the successful detection of threat systems.

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
    • The Bulletin of The Korean Astronomical Society
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    • v.46 no.1
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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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