• 한국도로학회논문집
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• 제15권5호
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• pp.187-193
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• 2013

PURPOSES : This research is to analyze the influence in terms of misreading rate and legibility time for drivers when condensation occurs on the road signs. METHODS : In this research, the dew occurred road signs provided to drivers to measure legibility time and misreading rate to compare with normal road sign. In order to identify the difference of legibility time between normal road sign and dew occurred road sign, the T-test and ANOVA test were used. And the vision system was used to recognize the region of dew occurrence on the road sign, then the brightness of dew occurrence region on the road sign was changed to check the misreading rate of drivers according to the change rate of brightness. RESULTS : The legibility times were measured 2.65s for normal road sign and 4.08s for dew occurrence road sign and misreading rates were measured 2.8% for normal road sign, 21.7% for dew occurrence road sign.

• 한국도로학회논문집
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• 제15권1호
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• pp.155-161
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• 2013

PURPOSES: This study is to develop a road traffic sign recognition and automatic positioning for road facility management. METHODS: In this study, we installed the GPS, IMU, DMI, camera, laser sensor on the van and surveyed the car position, fore-sight image, point cloud of traffic signs. To insert automatic position of traffic sign, the automatic traffic sign recognition S/W developed and it can log the traffic sign type and approximate position, this study suggests a methodology to transform the laser point-cloud to the map coordinate system with the 3D axis rotation algorithm. RESULTS: Result show that on a clear day, traffic sign recognition ratio is 92.98%, and on cloudy day recognition ratio is 80.58%. To insert exact traffic sign position. This study examined the point difference with the road surveying results. The result RMSE is 0.227m and average is 1.51m which is the GPS positioning error. Including these error we can insert the traffic sign position within 1.51m CONCLUSIONS: As a result of this study, we can automatically survey the traffic sign type, position data of the traffic sign position error and analysis the road safety, speed limit consistency, which can be used in traffic sign DB.

• 한국멀티미디어학회논문지
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• 제19권2호
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• pp.252-263
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• 2016

Road sign is an important street furniture that gives some information such as road conditions, driving direction and condition for a driver. Thus, road sign is a major target of image recognition for self-driving car, ADAS(autonomous vehicle and intelligent driver assistance systems), and ITS(intelligent transport systems). In this paper, an enhanced road sign recognition system is proposed for MMS(Mobile Mapping System) using the single camera and GPS. For the proposed system, first, a road sign recognition scheme is proposed. this scheme is composed of detection and classification step. In the detection step, object candidate regions are extracted in image frames using hybrid road sign detection scheme that is based on color and shape features of road signs. And, in the classification step, the area of candidate regions and road sign template are compared. Second, a Geo-marking scheme for geo-content that is consist of road sign image and coordinate value is proposed. If the serious situation such as car accident is happened, this scheme can protect geographical information of road sign against illegal users. By experiments with test video set, in the three parts that are road sign recognition, coordinate value estimation and geo-marking, it is confirmed that proposed schemes can be used for MMS in commercial area.

• 제어로봇시스템학회논문지
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• 제15권11호
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• pp.1088-1095
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• 2009

In this paper, we describe the reorientation method of distorted road sign by using projection transformation for improving recognition rate of road sign. RSR (Road Sign Recognition) is one of the most important topics for implementing driver assistance in intelligent transportation systems using pattern recognition and vision technology. The RS (Road Sign) includes direction of road or place name, and intersection for obtaining the road information. We acquire input images from mounted camera on vehicle. However, the road signs are often appeared with rotation, skew, and distortion by perspective camera. In order to obtain the correct road sign overcoming these problems, projection transformation is used to transform from 4 points of image coordinate to 4 points of world coordinate. The 4 vertices points are obtained using the trajectory as the distance from the mass center to the boundary of the object. Then, the candidate areas of road sign are transformed from distorted image by using homography transformation matrix. Internal information of reoriented road signs is segmented with arrow and the corresponding indicated place name. Arrow area is the largest labeled one. Also, the number of group of place names equals to that of arrow heads. Characters of the road sign are segmented by using vertical and horizontal histograms, and each character is recognized by using SAD (Sum of Absolute Difference). From the experiments, the proposed method has shown the higher recognition results than the image without reorientation.

• Journal of information and communication convergence engineering
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• 제10권4호
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• pp.378-383
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• 2012

This paper presents the implementation of an automatic road sign recognizer for an intelligent transport system. In this system, lists of road signs are processed with actions such as line segmentation, single sign segmentation, and storing an artificial sign in the database. The process of taking the video stream and extracting the road sign and storing in the database is called the road sign recognition. This paper presents a study on recognizing traffic sign patterns using a segmentation technique for the efficiency and the speed of the system. The image is converted from one scale to another scale such as RGB to grayscale or grayscale to binary. The images are pre-processed with several image processing techniques, such as threshold techniques, Gaussian filters, Canny edge detection, and the contour technique.

• Spatial Information Research
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• 제15권3호
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• pp.335-346
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• 2007

도로표지는 도로이용자의 편의제공을 목적으로 설치된 도로부속시설물 중의 하나이다. 도로표지의 타 시설물과 차이점은 관련규정에 의거한 표지 위치정보의 설정과 표지내 안내지명, 노선번호, 상징그림, 방위표기, 이정거리 등 다양한 속성정보를 포함하고 있어 정보화에 상대적으로 유리하다는 장점이 있다. 현재, 전국의 각급 도로상에 13만 여개의 도로표지가 설치되어 있으며, 280여개의 도로관리청이 각각 독립적으로 도로표지를 관리해 오고 있으나, 일관성, 시인성, 연계성, 위치적합성 등이 결여된 채 비효율적으로 관리되어 왔다. 이는 도로이용자로 하여금 많은 민원사항을 발생시키고 편의제공보다는 오히려 혼돈을 야기시킨 주요 원인으로 작용하였다. 이에 본 연구에서는 이와 같은 문제점을 개선하기 위하여 전국 도로표지에 대한 정보를 DB화하여 Web GIS 기반의 도로표지 관리시스템을 구축하였다. 본 연구에서 개발된 시스템에서는 도로표지 담당자 및 이용자들의 요구사항을 고려하여 시스템 설계에 반영하였으며, 본 시스템은 관리자측면에서의 업무 효율성 증진은 물론 대국민 도로표지 불편사항을 효과적으로 개선할 수 있을 것이다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.1375-1378
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• 1997

In this paper, we presents the algorithm which is to recognize the traffic sign on the road the traffic signal in a video image for autonomous navigation. First, the rocognition of traffic sign on the road can be detected using boundary point estimation form some scan-lines within the lane deducted. For this algorithm, index matrix method is used to detemine what sign is. Then, the traffic signal recognition is performed by usign the window minified by several scan-lines which position may be expected. For this algoritm, line profile concept is adopted.

• 한국도로학회논문집
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• 제8권4호
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• pp.37-47
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• 2006

도로상에서 운전자에게 길안내 역할을 하는 도로표지는 운전자가 자신이 원하는 목적지를 쉽고 정확하게 찾을 수 있도록 설계되고 설치되어야 하며, 이는 도로이용자의 도로이용 효율성 및 교통 안전성 향상을 위해 충분히 고려되어야 한다. 현재 우리나라에서 사용하고 있는 도로표지 경로안내방식은 점개념 안내방식이며, 도시부에서는 부분적으로 선개념 안내방식을 도입하고 있으나 안내지명 선정방법에 대한 기준이 미흡하고, 도로의 기능별 안내지명선정 및 지역적 특성을 감안한 안내지명 선정에 대한 구체적인 기준이 없어 안내지명간의 전체적인 연계성이 결여되는 문제점이 나타나고 있다. 따라서 본 연구에서는 현 도로표지규정집에서 규정하고 있는 도로표지 안내지명 선정기준을 재검토하여 특정 구간(지역)에서의 안내지명 선정방법 및 연계성을 확보하는 과정에서 발생할 수 있는 문제점을 다각적으로 분석해 보고, 도로의 기능별 및 지역적 특성을 감안한 안내지면 선정방법을 도출하는 것을 목적으로 한다.

• 제어로봇시스템학회논문지
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• 제20권12호
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• pp.1259-1266
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• 2014

Road signs provide important safety information about road and traffic conditions to drivers. Road signs include not only common traffic signs but also warning information regarding unexpected obstacles and road constructions. Therefore, accurate detection and identification of road signs is one of the most important research topics related to safe driving. In this paper, we propose a 3-D vision technique to automatically detect and track road signs in a video sequence which is acquired from a stereo vision camera mounted on a vehicle. First, color information is used to initially detect the sign candidates. Second, the SVM (Support Vector Machine) is employed to determine true signs from the candidates. Once a road sign is detected in a video frame, it is continuously tracked from the next frame until it is disappeared. The 2-D position of a detected sign in the next frame is predicted by the 3-D motion of the vehicle. Here, the 3-D vehicle motion is acquired by using the 3-D pose information of the detected sign. Finally, the predicted 2-D position is corrected by template-matching of the scaled template of the detected sign within a window area around the predicted position. Experimental results show that the proposed method can detect and track many types of road signs successfully. Tracking comparisons with two different methods are shown.

• 한국자동차공학회논문집
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• 제22권3호
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• pp.50-59
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• 2014

This paper proposes a method of localization of vehicle especially the horizontal position for the purpose of recognizing the driving lane. Through tracking road signs, the relative position between the vehicle and the sign is calculated and the absolute position is obtained using the known information from the regulation for installation. The proposed method uses Kalman filter for road sign tracking and analyzes the motion using the pinhole camera model. In order to classify the road sign, ORB(Oriented fast and Rotated BRIEF) features from the input image and DB are matched. From the absolute position of the vehicle, the driving lane is recognized. The Experiments are performed on videos from the highway driving and the results shows that the proposed method is able to compensate the common GPS localization errors.