• 한국인터넷방송통신학회논문지
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• 제10권5호
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• pp.77-82
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• 2010

무선주파수를 사용하는 추적안테나의 추적성능은 비행체 추적 및 위치 측정에서 매우 중요한 요소이나, 전기적 물리적으로 매우 큰 안테나의 특성을 정확히 측정하는 것은 쉽지 않다. 특히 우주응용분야에서 사용되는 대형 접시형 추적안테나 시스템과 같이 신호원을 따라 안테나의 지향방향이 변하는 경우에는 안테나 지향방향에 따라 특성이 일정하지 않을 수 있다. 본 논문에서는 대형 추적안테나 시스템의 추적 성능지표인 지향정확도 및 추적정확도에 영향을 주는 오차요인을 검토하고, 나로우주센터에서 원격측정용으로 사용하고 있는 11m 대형 접시형 추적안테나에 대한 추적성능을 효율적으로 측정할 수 있는 저궤도위성(Low Earth Orbit)을 사용한 측정방법 및 그 결과를 기술한다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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• pp.125-130
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• 1991

This paper presents a tracking filter using pseudomeasurements in an estimated line-of-sight Cartesian coordinate system(ELCCS) whose x-axis is on the line-of-sight to an estimated target position. A target dynamics model and a measurement equation in the ELCCS are derived first and then a tracking filter in the ELCCS named moving coordinate tracking filter(MCTF) is proposed. It is shown that this MCTF is equivalent to a Kalman filter in the inertial Cartesian coordinate system which is widely used in the target tracking system. By approximating the MCTF for a pseudomeasurement noise and an error covariance matrix in the ELCCS, decoupling of three axes can be achieved. In this case, named decoupled moving coordinate tracking filter(DMCTF), computation time can be drastically reduced by utilizing its parallel structure. Finally, the stochastic properties of the MCTF and DMCTF are presented. Especially, a sufficient condition of nondestabilizing deviation for the DMCTF is proposed. The performance of the MCTF and DMCTF are compared with a conventional Kalman tracking filter.

• 전자공학회논문지A
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• 제29A권11호
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• pp.70-77
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• 1992

Generally, the conventional tracking algorithms are very limited in the practical applications because of that the computation load is exponentially increased as the number of targets being tracked is increase. Recently, to overcome this kind of limitation, some new tracking methods based on neural network algorithms which have learning and parallel processing capabilities are introduced. By application of neural networks to multi-target tracking problems, the tracking system can be made computationally independent of the number of objects being tracked, through their characteristics of massive parallelism and dense interconnectivity. In this paper, a new neural network tracking algorithm, which has capability of adaptive target tracking with little increase of the amount of calculation under the clutter and noisy environments, is suggested and the possibility of real-time multi-target tracking system based on neural networks is also demonstrated through some good computer simulation results.

• 한국군사과학기술학회지
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• 제18권5호
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• pp.517-524
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• 2015

In this paper, we propose a new target tracking filter architecture using active and passive sensors in underwater environment. A passive sensor for target tracking needs a bearing measurement of target. And target tracking filter for using passive sensor has the observability problem. On the other hand, an active sensor does not have the problem associated with system observability problem because an active sensor uses bearing and range measurement. In this paper, the tracking filter algorithm that could be used in the active and passive sensor system is proposed to analyze maneuvering target and to improve target tracking performance. The proposed tracking filter algorithm is tested by a series of computer simulation runs and the results are analyzed and compared with existing algorithm.

• 디지털융복합연구
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• 제13권1호
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• pp.331-339
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• 2015

사이버나이프치료에서 삽입된 금표지자의 삽입 개수 및 인식의 제한으로 인하여 3D DOF로 치료하는 경우 척추구조물 정렬을 가능하게 하는 Xsight spine tracking system으로 회전방향의 위치오차를 보정함으로서 표적위치오차를 개선하고, 치료방법의 대안을 제시하고자 한다. 실험결과 6D DOF에서 표적위치오차는 $0.214{\pm}0.058mm$, 종양내부에 삽입된 2개 금표지자를 이용한 3D DOF에서 $0.673{\pm}0.142mm$, 종양외부에 삽입된 2개 금표지자를 이용한 3D DOF에서 $1.126{\pm}0.253mm$, Xsight spine tracking system의 적용 한 3D DOF에서 $0.542{\pm}0.103mm$로 나타났다. 실험결과 척추 구조물로 회전방향에 대한 보정을 시행하였을 때 표적위치에 대한 정확성이 약 48% 향상되었다. 또한, 선량분포의 일치성도 약 3%가 향상되어 일치하는 것을 확인할 수 있었다. 따라서 척추구조물 정렬을 병용한 Xsight spine tracking system의 회전방향에 대한 보정은 유용한 것으로 평가 되었다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 19-21 Oct. 1992
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• pp.573-574
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• 1992

We developed a recognition and tracking system of moving objects. The system consists of one CCD video camera, two DC motors in horizontal and vertical axles with encoders, pluse width modulation(PWM) driving unit, 16 bit NEC 9801 microcomputer, and their interfaces. The recognition and tracking system is able to recognize shape and size of a moving object and is able to track the object within a certain range of errors. This paper presents the brief introduction of the recognition and tracking system developed in our laboratory.

• 태양에너지
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• 제18권3호
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• pp.25-30
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• 1998

PTC용 태양추적장치는 최대 집열을 위하여 PTC를 항상 태양광이 입사되는 방향으로 일치시키기 위한 자동제어시스템이다. 본 연구는 마이크로프로세서를 사용하는 PTC용 1축 태양추적장치의 개발에 관한 것이다. 개발된 태양추적장치는 태양 위치를 판별하는 태양 센서와 DC 모터 위치제어기로 구성되어 있으며, 80c196KC를 사용하는 제어장치는 아날로그 입력 장치, 24V DC 서보모터제어기, 디지털 I/O로 구성되어 있다. 태양센서는 photodiode를 사용하여 제작되었으며, 태양센서의 법선 방향으로부터 ${\pm}50^{\circ}$ 이내에 위치하는 태양을 감지할 수 있도록 설계되었다. 본 연구에서 개발된 태양추적장치는 현재 한국에너지기술연구소에 설치되어 있는 PTC에서 사용되고 있으며, 태양추적 정확도에 관한 연구가 현재 진행되고 있다.

• 전자공학회논문지A
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• 제31A권3호
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• pp.1-9
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• 1994

In this paper as a new approach for real-time multitarget tracking, a hybrid OptoNeural multitarget tracking system based on optical BJTC and neural networks data association algorithm is suggested. In the proposed hybrid tracking system, an optical BJTC is introduced as a preprocessor to reduce the massive input target data into a few correlation peak signals and then the neural networks data association algorithm is used for the massively parallel data association between measurement signals and targets in real-time. Finally, new hybrid type OptoNeural target tracking system is constructed and then some experimental results on multitarget tracking is included. The real-time implementation method of the proposed hybrid system is also discussed.

• Journal of Multimedia Information System
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• 제4권4호
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• pp.285-288
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• 2017

In this paper, we propose a vision-based object detection and tracking system using online learning. The proposed system adopts a feature point-based method for tracking a series of inter-frame movement of a newly detected object, to estimate rapidly and toughness. At the same time, it trains the detector for the object being tracked online. Temporarily using the result of the failure detector to the object, it initializes the tracker back tracks to enable the robust tracking. In particular, it reduced the processing time by improving the method of updating the appearance models of the objects to increase the tracking performance of the system. Using a data set obtained in a variety of settings, we evaluate the performance of the proposed system in terms of processing time.

• 한국정밀공학회지
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• 제32권3호
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• pp.243-251
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• 2015

In order to develop an automatic system for welding thin steel plates with curvature such as the corrugated membranes of an LNG storage tank, a rotating mechanism should be firstly designed for the torch to easily follow the weld seam with a constant distance and angle. In this study, a torch rotating mechanism consisting of three circular links, two square-type links and a torch link was proposed for automation of the welding process. A weld-seam tracking system with two axis slides and the proposed rotating mechanism was successfully simulated with a dynamic simulation software. A prototype tracking system was manufactured and a tracking test with the system was then carried out. The test results with tracking system showed that the rotating mechanism could be implemented and it was feasible to be used in automatic tracking of weld seam with curvature.