• 한국소음진동공학회논문집
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• 제27권1호
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• pp.57-64
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• 2017

This study was reviewed the noise reduction effects with installation of 'point to point speed camera' for controlling the speed of the car. The multiple regression analysis was performed to know how the relationship between the noise level and these parameters, such as measured traffic volume and rate of heavy vehicle and weighted average speed was changed with and without the 'point to point speed camera'. In the analysis results shows that the less traffic volume, the more noise reduction effect has been increased and the more traffic volume, the more noise reduction effect has been reduced. And noise reduction effects by the 'point to point speed camera' was different from each measured point. The cause of the difference was determined that inadequate 'point to point speed camera' position to see the effect of noise reduction. It is determined to require a more study to improve the noise reduction effects of the 'point to point speed camera' such as the camera position adjustment.

• 한국군사과학기술학회지
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• 제20권4호
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• pp.497-504
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• 2017

This paper proposes a method to measure the airburst height by utilizing a high speed camera. This method might be applied to the test of which flight target is alive after the burst. The proposed method consists of four main steps. The first step is to compute the impact point using the sea surface height. The second step is to compute the height of burst (HOB) by using the distance from the camera to the impact point. This could be different from the real explosion height. That is because the distance from the camera to the burst point is not the same as it from the camera to the impact point. Therefore, the third step is to calculate the approach angle of the flight target with respect to the installed camera. Then, the last step is to compensate the computed height by using the approach angle. The result of the proposed method is compared with it from the triangulation. In this paper, the HOB error is also analyzed regarding the approach angle difference. Based on this analysis, the camera position might be suggested for error reduction.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.101.3-101
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• 2001

By setting a refractor with a certain angle against the optical axis of the CCD camera lens, the image of a measuring point recorded on the image plane is displaced by the corresponding amounts related to the distance between the camera and the measuring point. When the refractor that keeps the angle against the optical axis is rotated physically at high speed during the exposure of the camera, the image of a measuring point draws an annular streak. Since the size of the annular streak is inversely proportional to the distance between the camera and the measuring point, the 3D position of the measuring point can be obtained by processing the streak. In this paper, for one of the applications of our system, the measurement of a moving surface is introduced. In order to measure the moving surface, multi laser spots are projected on the surface of object. Each position of ...

• 한국ITS학회 논문지
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• 제9권6호
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• pp.43-53
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• 2010

'97년 전국 5개 지방경찰청 32개 지점에 무인과속과속단속시스템의 도입으로 교통사고 발생 건수와 사망자수를 현저하게 감소시키는 효과를 가져와 지속적으로 확대 설치할 예정에 있다. 2010년 7월말 현재 4,495대를 설치 운영하고 있다. 대교, 터널 및 경사구간 등 위험도로구간에서는 치사율이 일반도로부의 3배 이상 높게 나타나 연속적인 속도관리가 필요하다. 그러나 무인과속단속시스템은 한 지점의 속도만으로 과속을 단속하는 시스템으로 단속지점에서만 속도를 줄이는 캥거루 효과가 발생하고 있어 연속적인 속도감소 효과를 기대할 수 없다. 따라서 위와 같은 연속적인 위험이 존재하는 도로구간에서는 교통사고 예방을 위해서는 위험구간의 평균속도로 과속차량을 단속하는 무인구간속도위반단속시스템 도입이 필요하게 되었다. 이에 본 논문에서는 무인구간속도위반단속시스템과 무인과속단속시스템 설치구간에서의 운전자 운행 특성인 캥거루 효과를 분석하고, 또한 제한속도 준수를 위한 두 시스템에 효과성을 검토하기 위하여 데이터를 수집하고 통계적인 분석을 실시하였다. 그 결과 무인구간속도위반단속시스템에서는 캥거루효과가 발생하지 않았고, 무인과속단속시스템에서만 캥거루효과가 발생하였다. 이러한 캥거루효과에 의한 차량 감속은 약 400m 전방에서 감속을 시작하는 것으로 분석되었다. 그리고 무인구간속도위반단속시스템의 평균속도가 무인과속단속시스템 보다 약 35km/h 낮은 것으로 분석되었다. 결론 적으로 무인구간속도위반단속시스템이 캥거루효과도 없을 뿐만 아니라 제한속도 준수에도 효과적인 것으로 검증되었다.

• Journal of Mechanical Science and Technology
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• 제18권11호
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• pp.2058-2065
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• 2004

A light collecting probe named Multi-color Integrated Cassegrain Receiving Optics (MICRO) is applied to spark-ignited spherical spray flames to obtain the flame propagation speed in freely falling droplet suspension produced by an ultrasonic atomizer. Two MICRO probes are used to monitor time-series signals of OH chemiluminescence from two different locations in the flame. By detecting the arrival time difference of the propagating flame front, the flame propagation speed is calculated with a two-point delay-time method. In addition, time-series images of OH chemiluminescence are simultaneously obtained by a high-speed digital CCD camera to ensure the validity of the two-point delay-time method by the MICRO system. Furthermore, the relationship between the spray properties measured by phase Doppler anemometer (PDA) and the flame propagation speed are discussed with three different experimental conditions by changing the fuel injection rate. It was confirmed that the two-point delay-time method with two MICRO probes is useful and convenient to obtain the flame propagation speed and that the flame propagation speed depends on the spray properties.

• 한국도로학회논문집
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• 제18권5호
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• pp.63-73
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• 2016

PURPOSES : The objective of this study was to analyze variations in the vehicle driving behavior characteristics on signalized intersections according to the use of traffic enforcement camera (red light camera). METHODS : In order to analyze the driving behavior characteristics on signalized intersections when red light camera are installed, the target sites for investigation were selected depending on whether the red light camera is installed and accident rates increased after the installation. In particular, to analyze the characteristics of dilemma zones in signalized intersections, approach speed and deceleration speed of 3 type vehicles (passing vehicles during a yellow light, stopping at a yellow light, passing vehicles during a green light) were examined. Based on these data, the starting point, ending point, and distance of the dilemma zones were calculated. Also, the locations of increased traffic accidents and decreased accidents after the installation of the equipment were distinguished when analyzing the traffic accident characteristics. RESULTS : Analysis results revealed that there was a tendency for the dilemma zone distance to decrease after the installation of equipment(red light camera) in most sites. This tendency was found to be due to the decrease in the approaching speed of vehicles at intersections after the installation of equipment, resulting in the starting and ending points of dilemma zone to become closer to the stop line. Moreover, analysis showed that the number of traffic accidents decreased for most intersections after the installation of equipment and safety of the intersections increased somewhat. CONCLUSIONS : In general, installation of equipment(red light camera) caused the intersections approaching speed and dilemma zone distance to decrease. Decision-making is difficult for drivers in the dilemma zone, so the decrease in the dilemma zone distance implies an improvement in traffic safety. Furthermore, the number of accidents within intersections significantly decreased after the equipment was installed, leading to the conclusion that installation of the equipment affected the decrease in traffic accidents.

• Journal of Biosystems Engineering
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• 제23권3호
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• pp.291-304
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• 1998

A control algorithm fir the unmanned vehicles was developed using image information received through a CCD camera that acquires more powerful information over the wide range of wave-length comparing with other sensors and was applied to a speed-sprayer. The algorithm consisted of straight mode for passing along with middle of two tree-rows and turning mode for changing from a row to another row. In case of turning mode, two marks of colored papers were employed to indicate turning point and to decide turning direction for various orchard situations. The method of analysis and image would be differed according to camera's tilt-angle and position that is set on the speed-sprayer. Hence, it analyzed the point of difference by making camera's up and downward tilt-angle.

• 제어로봇시스템학회논문지
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• 제20권9호
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• pp.950-956
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• 2014

In this paper, the real-time detection method of a DDP (Driving Direction Point) is proposed for an unmanned vehicle to safely follow the center of the road. Since the DDP is defined as a center point between two lanes, the lane is first detected using a web camera. For robust detection of the lane, the binary thresholding and the labeling methods are applied to the color camera image as image preprocessing. From the preprocessed image, the lane is detected, taking the intrinsic characteristics of the lane such as width into consideration. If both lanes are detected, the DDP can be directly obtained from the preprocessed image. However, if one lane is detected, the DDP is obtained from the inverse perspective image to guarantee reliability. To verify the proposed method, several experiments to detect the DDPs are carried out using a 4 wheeled vehicle ERP-42 with a web camera.

• 대한기계학회논문집
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• 제18권6호
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• pp.1365-1373
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• 1994

Elasto-dynamic deformation of flexible linkage mechanism was analyzed using the finite element method. A computer program was constructed and applied to analyze a specific crank-level 4-bar mechanism, in which the elasto-dynamic deformation of the mechanism system was obtained using mode superposition method in the case of constant input speed and the effect of geometric stiffness on the mechanism is included. Experimental verification of numerical results was conducted by measuring the elasto-dynamic deformation of mid-points of coupler and lever for the 4-bar lingkage mechanism using high speed camera and image data processing systeem. For the elasto-dynamic deformation at the lever mid-point, the numerical results including geometric stiffness almost agree with the experimental ones. However, the numerical results excluding geometric stiffness good agree with the experimental ones at the couper mid-point.

• 한국컴퓨터정보학회논문지
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• 제28권1호
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• pp.93-101
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• 2023

이 논문은 영상 카메라를 이용하여 교통 객체를 인식하고자 하는 경우, 영상 내 객체 인식 정확도를 높이기 위해 소실점을 이용하여 객체에 대한 3D 바운딩 박스를 생성하는 방법이다. 최근 인공지능을 이용하여 교통 영상 카메라로 촬영된 차량을 검출하고자 하는 경우 이 3D 바운딩 박스 생성 알고리즘을 적용하고자 한다. 카메라 설치 각도와 카메라가 촬영한 영상의 방향성을 분석하여 종 방향 소실점(VP1)과 횡 방향 소실점(VP2)을 도출하고 이를 기반으로 분석 대상 동영상에서 이동하는 객체를 특정하게 된다. 이 알고리즘을 적용하면 감지된 객체의 위치, 종류, 크기 등 객체 정보 검출이 용이하고, 이를 자동차와 같은 이동류에 적용하는 경우 이를 트래킹하여 각 객체가 이동한 위치와 좌표, 이동속도 및 방향 등을 알 수 있다. 실제 도로에 적용한 결과 트래킹이 10% 향상되었으며 특히 음영지역(큰 차에 가려진 극히 적은 차량 부위)의 인식율과 트래킹이 100% 개선되는 등 교통 데이터 분석 정확성을 향상시킬 수 있었다.