• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.12
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• pp.113-123
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• 2012

Recently, various attempts have been made to apply Intelligent Transportation System under various environments and conditions. Consequently, an accurate license plate recognition regardless of vehicle location and viewing angle is required. In this paper, we propose a novel license plate recognition system which exploits a) the format of license plates to remove false candidates of license plates and to extract characters in license plates and b) the characteristics of Hangul for accurate character recognition. In order to eliminate false candidates of license plates, the proposed method first aligns the candidates of license plates horizontally, and compares the position and the shape of objects in each candidate with the prior information of license plates provided by Korean Ministry of Construction & Transportation. The prior information such as aspect ratio, background color, projection image is also used to extract characters in license plates accurately applying an improved local binarization considering luminance variation of license plates. In case of recognizing Hangul in license plates, they are initially grouped according to their shape similarity. Then a super-class method, a hierarchical analysis based on key feature points is applied to recognize Hangul accurately. The proposed method was verified with high recognition rate regardless of background image, which eventually proves that the proposed LPR system has high performance regardless of the vehicle location or viewing angle.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.04a
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• pp.377-382
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• 2003

차량측량시스템이란 차량에 2대 이상의 CCD 카메라와 위치측정장비(GPS, IMU 등)를 장치하고 도로를 운행하면서 일정한 간격으로 주변의 사진을 연속으로 촬영한 후 이를 이용하여 도로 및 도로시설물의 위치와 크기, 보존상태 등의 정보를 취득하는 새로운 측량 시스템이다. 본 연구에서는 대상물의 3차원 위치결정을 위해 필요한 자료와 자료를 처리하는 각 단계를 체계화하였으며, 사용 편의성과 위치결정정확성을 높일 수 있는 차량측량시스템을 위한 수치사진측량 프로그램을 개발하였다.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.93-101
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• 2023

In this paper, we propose a method of creating a 3D bounding box for an object using a vanishing point to increase the accuracy of object recognition in an image when recognizing an traffic object using a video camera. Recently, when vehicles captured by a traffic video camera is to be detected using artificial intelligence, this 3D bounding box generation algorithm is applied. The vertical vanishing point (VP1) and horizontal vanishing point (VP2) are derived by analyzing the camera installation angle and the direction of the image captured by the camera, and based on this, the moving object in the video subject to analysis is specified. If this algorithm is applied, it is easy to detect object information such as the location, type, and size of the detected object, and when applied to a moving type such as a car, it is tracked to determine the location, coordinates, movement speed, and direction of each object by tracking it. Able to know. As a result of application to actual roads, tracking improved by 10%, in particular, the recognition rate and tracking of shaded areas (extremely small vehicle parts hidden by large cars) improved by 100%, and traffic data analysis accuracy was improved.

• International Journal of Highway Engineering
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• v.7 no.4 s.26
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• pp.163-171
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• 2005

Current roads were designed and constructed based on the design criteria and thus those were overly simplified drivers' needs. The road criteria do not suggest the desirable range of the design values but suggest the minimum requirements for the road design. Therefore, a completed road design based on the design criteria does not always guarantee the best design in terms of safety and it sometimes violates drivers' expectation. Therefore, the ROSSAV(ROad Safety Survey and Analysis Vehicle) is being developed by the KICT to evaluate road safety and increase driving safety. In this paper, the image capture system was described in detail. The image capture system is consisted of two front view cameras, two side down-looking cameras and a synchronization device. Two front view cameras were used to take a picture of road and road facilities at the driver's viewpoint. Also, two side down-looking cameras were used to capture road surface image to extract lane markings. A synchronization device were used to generate image capturing signal at the fixed distance spacing huck as every 10m. The front view images could be used to calculate and measure highway geometry such as shoulder width because every image is saved with it's locational information. And also the side down looking images could be used to extract median lane mark which representing road alignement efficiently.

• Proceedings of the KOR-KST Conference
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• 2007.05a
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• pp.300-309
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• 2007

본 연구는 신호교차로에서의 딜레마 죤 범위를 산정하고 신호위반 단속의 허용 범위를 분석하는데 있다. 각 교차로 접근로별 조사 자료를 토대로 딜레마 죤의 범위를 산정하였고, 이를 토대로 신호위반 단속에 있어 딜레마 죤의 영향을 최소화 할 수 있는 방안을 제시하고자 하였다. 기존의 딜레마 죤에 관한 연구에서는 인지-반응 시간과 황색신호시간을 초기값으로 적용하였으나 본 연구에서는 해당 교차로의 조사치를 적용하였다. 조사 방법으로 속도조사는 스피드 건을 이용하여 각각의 대상 교차로별 접근로에서 접근 속도 및 통과 속도를 조사하였으며, 운전자의 인지-반응 시간 및 황색신호시간에 교차로를 통과하는 차량조사는 비디오 촬영을 통하여 조사하였다. 이러한 조사된 자료를 토대로 신호위반 단속기준에 맞추어 딜레마 죤에 관하여 분석하였다. 본 연구에서 딜레마 죤은 최소정지거리($d_0$)가 최대통과거리($d_c$)보다 클 때 존재하는 것으로 보았으며, 그 차이만큼의 딜레마 죤이 발생하는 것으로 정의하였다. 이에 신호위반 단속을 함에 있어딜레마 죤의 영향을 최소화 할 수 있는 방안 등을 제시하였다. 그러나 각각의 방안을 개별적으로 적용시킬 경우 문제점이 발생하였다. 이러한 문제점을 해결하기 위해서 자기감응식 루프검지기의 위치를 재조정함에 있어 하나의 루프 검지기를 정지선 이후에 존재함과 동시에 황색신호시간을 재조정하거나, 자기감응식 루프검지기의 작동시간을 재조정하는 방안을 제시하고자 하였다. 본 연구에서는 3개의 교차로를 비교대상으로 선정하여 각각의 교통환경에 따른 접근로별 딜레마죤의 범위를 최소화하기 위한 대안을 제시하였다.