• 대한교통학회지
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• 제23권5호
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• pp.35-45
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• 2005

자동 과속 단속 시스템은 중요한 교통사고 예방 대책의 하나이다. 운전자는 자동과속단속시스템 설치 지점 부근에서 속도를 감속하고 설치지점 통과 후 다시 가속한다. 따라서 단속의 목적을 둔 과속단속시스템은 충분한 안전 효과를 발휘하는데 한계가 있으며, 속도 관리 개념의 설치 방안이 마련될 필요가 있다 본 연구는 연속된 도로 구간을 주행하는 운전자의 주행속도 변화를 일정 범주 내로 유지시키는 도로 설계 일관성 개념을 과속단속시스템의 설치위치 선정에 적용하였다. 또한 과속단속시스템도 도로 곡선부 등 선형 요소와 마찬가지로 운전자의 주행속도를 변화시키는 설계 요소의 하나로 간주하고, 설계 일관성 개념 및 평가기준을 동일하게 적용한 설치 방안을 제안하였다.

• 한국항해항만학회지
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• 제31권9호
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• pp.779-784
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• 2007

This paper describes a new progressive embedded Internet Protocol(IP) camera available for real-time image transmission. It was applied for ship safety and security on seashore area. The functions of developed embedded system was more effective and excellent than conventional systems. Nowadays, each nation has established harbor security systems to jump up their ports to international port. Recently Incheon port has tried to change man security into center security system used by image security system. The security system of Incheon port has some advantages like effectivity of security system and reduction of manpower and cost, installed by image security system with CCTV cameras at the entrance gate and around the fence. Thus in this paper, we have designed and implemented a Personal Digital Assistants(PDA) based Image Surveillance System for Harbor Security using IP Camera under ubiquitous environment. This system has big advantages which are more effective in an emergency and low cost and small manpower than conventional systems.

• 한국도로학회논문집
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• 제17권1호
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• pp.119-127
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• 2015

PURPOSES : Before-and-after studies of red light cameras were conducted with the aim of reducing the number of side right-angle collisions. Three different methods were used for the before-and-after studies, and the analysis results were compared. METHODS : This research used the naive before-and-after method, the comparison-group method, and the empirical Bayes method to study the effects of red light cameras on side-angle collisions. The results of the three before-and-after methods were compared and interpreted in terms of safety indications at signalized intersections. RESULTS : The research results showed that side right-angle collisions can be reduced by installing red light cameras at signalized intersections. All three methods guarantee safety improvements of 25~30% on average. With regard to the results of each method, the naive before-and-after method, the comparison-group method, and the empirical Bayes method showed safety improvements of 25.6%, 27.8%, and 29.7%, respectively. CONCLUSIONS : It was concluded that red light cameras are an effective countermeasure to improve intersection safety. In particular, by installing red light cameras, side right-angle collisions can be reduced by up to approximately 25~30%.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.1516-1519
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• 2004

A tele-operated robot should be used to maintain and inspect nuclear power plants to reduce the radiation exposure to the human operators. During an overhaul of the nuclear power plants in Korea, a ROV(Remotely Operated Vehicle) may enter a cold-leg connected to the reactor to examine the state of the thermal sleeve and it's position in the safety injection nozzle. To measure the positions of the thermal sleeve or scratches from the video images captured during the examination, the camera parameters should be identified. However, the focal length of the CCD camera could be increased to a close up of the target and the aspect ratio and the center of the image could also be varied with capturing devices. So, it is desired to self-calibrated the intrinsic parameters of the camera and capturing device with the video images captured during the examination. In the video image of the safety injection nozzle, two or more circular grooves around the nozzle are shown as ellipse contours. In this paper, we propose a camera self-calibration method using a single image containing two circular grooves which are the greatest circles of the cylindrical nozzle whose radius and distance are known.

• 자동차안전학회지
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• 제14권2호
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• pp.39-44
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• 2022

This paper presents LiDAR static obstacle map based vehicle position correction algorithm for urban autonomous driving. Real Time Kinematic (RTK) GPS is commonly used in highway automated vehicle systems. For urban automated vehicle systems, RTK GPS have some trouble in shaded area. Therefore, this paper represents a method to estimate the position of the host vehicle using AVM camera, front camera, LiDAR and low-cost GPS based on Extended Kalman Filter (EKF). Static obstacle map (STOM) is constructed only with static object based on Bayesian rule. To run the algorithm, HD map and Static obstacle reference map (STORM) must be prepared in advance. STORM is constructed by accumulating and voxelizing the static obstacle map (STOM). The algorithm consists of three main process. The first process is to acquire sensor data from low-cost GPS, AVM camera, front camera, and LiDAR. Second, low-cost GPS data is used to define initial point. Third, AVM camera, front camera, LiDAR point cloud matching to HD map and STORM is conducted using Normal Distribution Transformation (NDT) method. Third, position of the host vehicle position is corrected based on the Extended Kalman Filter (EKF).The proposed algorithm is implemented in the Linux Robot Operating System (ROS) environment and showed better performance than only lane-detection algorithm. It is expected to be more robust and accurate than raw lidar point cloud matching algorithm in autonomous driving.

• 제어로봇시스템학회논문지
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• 제10권1호
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• pp.66-72
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• 2004

To assess tunnel safety, cracks in tunnel lining are measured by inspectors, who observe cracks with their naked eyes and record them. But manual inspection is slow, and measured crack data is subjective. Therefore, this study proposes inspection system fur measuring cracks in tunnel lining and providing objective crack data to be used in safety assessment. The system consists of On-vehicle system and Laboratory system. On-Vehicle system acquires image data with line CCD camera on scanning along the tunnel lining. Laboratory system extracts crack information from the acquired image using image processing. Measured crack information is crack thickness, length and orientation. To improve accuracy of crack recognition, the geometric properties and patterns of cracks in concrete structure were applied to image processing. The proposed system was verified with experiments in both laboratory environment and field environment such as subway tunnel.

• 한국측량학회지
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• 제19권1호
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• pp.47-53
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• 2001

본 연구에서는 수치근접사진측량기법을 이용, 교량의 안전진단을 위한 변위를 측정하고자 하였다. 이에 재하 경우별로 디지털 카메라와 CCD카메라에 의한 동기영상을 획득, 분석하고 이를 동일조건에서 계측센서 및 정밀레벨에 의한 수직변위와 필름기반 영상해석 결과값과도 비교.분석을 수행하였다. 그 결과, 최대 0.83mm 편차내의 근접한 변위성과를 도출하므로써 교량의 거동측정 및 안전진단에 그 적용 가능성을 확인 할 수 있었다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 추계학술대회 논문집
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• pp.1354-1359
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• 2008

In this paper, we propose a vision based passenger monitoring system for passenger's safety in railway station. Since 2005, Korea Railroad Research Institute (KRRI) has developed a vision based monitoring system, funded by Korean government, for passenger's safety in railway station. The proposed system uses various types of sensors, such as, stereo camera, thermal-camera and infrared sensor, in order to detects danger situations in platform area. Especially, detection process of the system exploits the stereo vision algorithm to improve detection accuracy. The paper describes the overall system configuration and proposed detection algorithm, and then verifies the system performance with extensive experimental results in a real station environment.

• 대한전자공학회논문지SP
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• 제43권4호
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• pp.66-73
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• 2006

안전은 교통관제와 제어기술에서 중요한 부분이다. 본 논문에서는 단일 비젼시스템을 이용하여 합류도로에 진입하려는 차량에 합류안전 신호를 발생하는 유연하고, 안정적이며 실시간 처리가 가능한 알고리즘에 대해 제안하였다. 도로측면에 위치한 카메라로부터 얻어지는 영상을 이용하여 주행차량 감시와 차량의 주행속도, 본선도로와 진입도로 사이의 합류지점까지의 도달시간을 예측하여 빨강, 파랑, 노랑의 색으로 주행 안전 여부를 표시하였다. 영상에서 설정한 영역에 차량이 주행함을 검출하기 위해 농담정규화 상관법, 경계 크기 비 변화, 평균 농담변화의 세 가지 방법을 이용하였다. 실제 합류도로에서 촬영한 영상으로부터 제안한 알고리즘에 적용하여 결과를 제시하였다.

• International Journal of Naval Architecture and Ocean Engineering
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• 제9권5호
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• pp.568-576
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• 2017

With an increase in the usage of LNG, there is a heightened interest about its safety aspects regarding the explosion of LNG carrier tank. The need for a cryogenic explosion-proof camera has increased. The camera has to work in cryogenic environment (below $-160^{\circ}C$) in LNG carrier. This study conducted design and heat transfer analysis of cryogenic camera to secure working time in limitation of heat source. The design with gap width of double pane windows was conducted based on simple vertical cavity model to insulate from cryogenic environment. The optimal gap width was 12.5 mm. For effective analysis considering convection within the camera, equivalent thermal conductivity method was adopted with ABAQUS. The working time of the camera predicted was over 10 h at warm-start condition. In cold-start condition, it required about 5 h of pre-warming time to work. The results of analysis were compared with the ones of the actual cryogenic test.