• Journal of Broadcast Engineering
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• v.24 no.4
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• pp.573-579
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• 2019

To achieve fully autonomous driving, the perceptual skills of the surrounding environment must be superior to those of humans. The $60^{\circ}$ angle, $120^{\circ}$ wide angle cameras, which are used primarily in autonomous driving, have their disadvantages depending on the viewing angle. This paper uses a multi-angle object recognition system to overcome each of the disadvantages of wide and narrow-angle cameras. Also, the aspect ratio of data acquired with wide and narrow-angle cameras was analyzed to modify the SSD(Single Shot Detector) algorithm, and the acquired data was learned to achieve higher performance than when using only monocular cameras.

• Journal of Drive and Control
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• v.17 no.3
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• pp.33-46
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• 2020

We introduce a piece of special-purpose equipment for responding to disasters that has a dual-arm manipulator consisting of six-axis multi joints, and a master-slave operating system controlled by a wearable joystick for intuitive and convenient operation. However, due to the complexity and diversity of a disaster environment, training and suitable training means are needed to improve the interaction between the driver and equipment. Therefore, in this paper, a system that can improve the operator's immersion in the training simulation is proposes, this system is implemented in a virtual environment. The implemented system consists of a cabin installed with the master-slave operation system, a motion platform, visual and sound systems, as well as a real-time simulation device. This whole system was completed by applying various techniques such as a statistical mapping method, inverse kinematics, and a real-time physical model. Then, the implemented system was evaluated from a point of view of the appropriateness of the mapping method, inverse kinematics, the feasibility for real-time simulations of the physical environment through some task mode.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.1
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• pp.35-41
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• 2015

When a video surveillance system tracks a specific object, it is very important to get quickly the information of the object through fast image processing. Usually one camera surveillance system for tracking the object made results in various problems such like occlusion, image noise during the tracking process. It makes difficulties on image based moving object tracking. Therefore, to overcome the difficulties the multi video surveillance system which installed several camera within interested area and looking the same object from multi angles of view could be considered as a solution. If multi cameras are used for tracking object, it is capable of making a decision having high accuracy in more wide space. This paper proposes a method of recognizing and tracking a specific object like a car using the homography in which multi cameras are installed at the crossroad.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.691-693
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• 2004

비디오 시퀀스에서의 객체 추적은 보안 및 감시 시스템(Security and surveillance system), 비디오 원격 회의(Video teleconferencing)등과 같이 컴퓨터 비전 응용 분야에 널리 이용되어, 정정 그 중요성이 증가하고 있다 여러 가지 이유로 인친 카메라 덜(View)로부터 객체의 가시 상태가 변하는 경우, 하나의 뷰만을 이용해서는 좋은 결과를 가지기 어렵기 때문에 본 논문에서는 객체가 가장 잘 나타나는 뷰를 선택해서 객체를 추적하는 방법을 제안한다. 각각의 카메라 뷰에서 객체를 추적하기 위해 본 논문에서는 다중 후보가 결합된 Mean-shift 알고리즘을 이용한다. 제안된 시스템의 경우, 복잡한 환경으로 인해 객체의 가시 상태가 변하는 환경에서 단일 뷰를 이용하는 경우와 비교해 더 나은 성능을 가질 수 있었다.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06a
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• pp.220-221
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• 2007

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2004.07a
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• pp.241-241
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• 2004

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2004.11a
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• pp.205-205
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• 2004

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• fall
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• pp.268-269
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• 2021

본 논문에서는 RGB이미지와 Depth 이미지를 촬영할 수 있는 촬영 장비인 Azure Kinect를 사용해 다시점 촬영 시스템 구성을 위한 카메라 동기화 시스템을 제안한다. 제안한 시스템에는 8대의 Azure Kinect 카메라를 사용하고 있으며 각 카메라는 3.5-mm 오디오 케이블로 연결되어 외부동기화 신호를 전달한다. 그리고 이미지를 저장할 때 발생하는 메모리에서의 병목현상을 최소화하기 위해 촬영 시스템의 동작을 16개의 버퍼로 나누어 병렬 컴퓨팅으로 진행한다. 이후 동기화 여부에 따른 차리를 디바이스 타임스탬프를 기준으로 하여 비교한다.

• Journal of Advanced Marine Engineering and Technology
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• v.26 no.3
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• pp.299-306
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• 2002

The load frequency control(LFC) of power system is one of important subjects in view of system operation and control. That is, even though the rapid load disturbances are applied to the given power system, the stable and reliable power should be supplied to the users, converging unconditionally and rapidly the frequency deviations and the tie-line power flow ones of each area into allowable boundary limits. Nonetheless of such needs, if the internal parameter perturbation and the sudden load variation are given, the unstable phenomena of power systems can be often brought out because of the large frequency deviation and the unsuppressible power line one. So, an optimal modulation controller for UC of multi-area power system is designed by a recursive algorithm that determines the state weighting matrix Q of a linear quadratic performance criterion. The optimal modulation controller is based on optimal control and can obtain the exact dynamic response of the UC of multi-area power system in the time domain. The performances of the resultant optimal modulation control, that is, the steady-state deviations of frequency and tie-line power flow and the related dynamics, were investigated and analyzed in detail by being applied to the UC of multi-area power system in the perturbations of predetermined internal parameters. Through the simulation results tried variously in this paper for disturbance of stepwise load changes, the superiorities of the proposed optimal modulation controller in robustness and stability were proved.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.1911-1914
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• 2003

This paper proposes efficient system for multiview images using backward quadtree disparity estimation. Previous quadtree method usually divides current image. In this work, backward quadtree divides reference image. So, it does not need to code quadtree data. For backward quadtree, quadtree information map is generated. By using this map, adaptive dividing is possible. And, conventional bi-directional matching method is used with backward quadtree. These methods increase subject and object quality of decoded test images. For multiview images, panorama synthesizing method was used. Panorama image and right-most image are used for reference image for intermediate view images coding.