• 한국군사과학기술학회지
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• 제16권5호
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• pp.646-652
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• 2013

PRA(Position Reporting Accuracy) for EO/IR(Electro-Optic/Infrared) airborne camera is an important factor in geo-pointing accuracy. Generally, rate table is used to measure PRA of gimbal actuated camera like EO/IR. However, it is not always possible to fix an EUT(Equipment for Under Test) to rate table due to capacity limit of the table on the size and weight of the object(EUT). Our EO/IR is too big and heavy to emplace on it. Therefore, we propose a new verification method of PRA for airborne camera and assess the validity of our proposition. In this method we use collimator, angle measuring instrument, 6 dof motion simulator, optical surface plate, leveling laser, inclinometer and poster(for alignment).

• 드라이브 ㆍ 컨트롤
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• 제17권4호
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• pp.72-79
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• 2020

To ensure the safety of Advanced Driver Assistance Systems (ADAS) or autonomous vehicles, it is important to recognize the vehicle position, and specifically, the increased accuracy of the lateral position of the vehicle is required. In recent years, the quality of GPS signals has improved a lot and the price has decreased significantly, but extreme urban environments such as tunnels still pose a critical challenge. In this study, we proposed stable and precise lane recognition and tracking methods to solve these two issues via fusion of AVM images and vehicle sensor data using an extended Kalman filter. In addition, the vehicle's lateral position recognition and the abnormal state of RTK GPS were determined using this approach. The proposed method was validated via actual vehicle experiments in urban areas reporting multipath and signal disconnections.

• 한국군사과학기술학회지
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• 제16권2호
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• pp.154-159
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• 2013

Alignment tolerance for EO/IR airborne camera using common optic is an important factor in stabilization accuracy and geo-pointing accuracy. Before airborne camera is mounted on the aircraft, defining alignment tolerance and verification of it is essential in production as well as research and development. In this paper we establish basic concept on the definition and elements of alignment tolerance for airborne camera and propose how to measure each of those elements. Components and the measurement sequence of alignment tolerance are as follows: 1) tolerance of alignment between EO and IR LOS. 2) tolerance of sensor alignment. 3) tolerance of position reporting accuracy. 4) tolerance of mount alignment

• 한국통신학회논문지
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• 제32권7A호
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• pp.778-784
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• 2007

본 논문은 셀룰러 망에서 GSP와 같이 실시간 이동성을 파악할 수 있는 하드웨어를 탑재한 단말이 자신의 이동정보를 효율적으로 기지국에 전달하기 위하여 자신의 이동성 패턴을 인지하고 적절한 보고등록 알고리즘을 수행함으로써 핸드오프시 단말이 이동할 것으로 예상되는 목적 셀을 정확히 예측할 수 있는 방법을 제안한다. 특히 이동단말의 속도와 방향성에 따라서 이동성 패턴을 분류하고 이에 따른 적절한 보고등록 방법에 대하여 기술한다. 해당 알고리즘을 적용한 네트워크에서 단말은 이동정보 보고횟수와 핸드오프 호의 단절을 최소화하면서 동시에 무선자원의 사용 효율성을 증가시킬 수 있다. 우리는 시뮬레이션을 통해 제안된 방식이 기존의 방식보다 뛰어난 성능을 가져옴을 증명하였다.