• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.31 no.4
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• pp.293-300
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• 2013

Road signs are important infrastructures for safe and smooth traffic by providing useful information to drivers. It is necessary to establish road sign DB for managing road signs systematically. To provide such DB, manually detection and recognition from imagery can be done. However, it is time and cost consuming. In this study, we proposed algorithms for automatic recognition of direction information in road sign image. Also we developed algorithm code using OpenCV library, and applied it to road sign image. To automatically detect and recognize direction information, we developed program which is composed of various modules such as image enhancement, image binarization, arrow region extraction, interesting point extraction, and template image matching. As a result, we can confirm the possibility of automatic recognition of direction information in road sign image.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.4
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• pp.38-47
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• 2014

Ministry of Land, Infrastructure and Transport (MOLIT) Affairs of Korean government improved RSMS to be linked with GIS data and now we have research foundation. In case of expressway and rural national highway, there is a referenced place-name for direction road sign, but there is no reference in urban road and is only a guideline. Direction signs in urban could not have consistent place-name and it is vary difficult to select the proper place-name. Based on the change of analysis environment and perception of road sign - related problem, This study is aimed to suggest how to deduce the spatial impact zone of place-name from DB and GIS in RSMS of Changwon City. The results indicated that there is a spatial difference between place-names according to whether is near or far on the road sign. It is expected that this method would be effectively used in case of new road sign and so the process to select the place-name would be simple.

• Journal of the Korean Society of Hazard Mitigation
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• v.6 no.1 s.20
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• pp.29-38
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• 2006

There are increasing needs to provide sufficient information on road directions through road signs for expanding cities and traffic networks. Improving efficiency of direction guidance information from road signs not only requires criteria for but also systematic approach to selecting place names that appear on road signs. As such, this paper looks at road direction information from existing road signs that leads to Suwon and investigates whether the current system of road signs provides efficient, systematic and continuous direction information for road users to easily reach their destination. In this paper, Suwon's city hall is set up as the final destination, which is linked from five other cities, Anyang, Osan, Ansan, Yongin and Seongnam. The paper attempts to find out whether there is continuity and suitable number of road signs for direction information by analyzing the road signs between these 5 cities and Suwon with respect to direction, direction advance notice and direction guidance. It is found that drivers cannot easily find the needed information on their destination from the existing road signs and that continuity of selected place names that systematically appear on road signs is insufficiency. In addition, direction guidance on road signs is problematic, because the appearance frequency of road signs is not adequate and the continuity of road signs is not effective. Moreover, there is insufficient information on local direction guidance for immediate destinations on road signs with respect to turning left or right or going straight.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.07a
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• pp.513-515
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• 2015

최근 지능형 차량과 ADAS(Advanced Driver Assistance System) 개발에 있어 차량 영상을 이용한 도로 정보 분석이 중요한 화두로 떠오르고 있다. 다양한 도로 정보 중에서 도로표지판 검출 및 판단은 차량 운행 환경을 파악할 수 있는 중요한 과정이 될 수 있다. 이에 본 논문에서는 차량 영상에서의 색상 정보를 이용하여 표지판의 후보 영역을 추출(Candidate Generation)하고, 후보 영상에 대한 HOG(Histogram of Gradient) 특징 분석을 통해 도로표지판 여부와 그 종류를 판단(Object Classification)하는 알고리즘을 구현하였다. 또한 구현 알고리즘은 실시간 처리가 가능한 속도를 보여주어 지능형 차량 또는 ADAS에서의 실제 적용이 가능하도록 하였다.

• Journal of Korean Society of Transportation
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• v.24 no.6 s.92
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• pp.21-32
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• 2006

The purpose of this study is to determine the economical standard for road signs by verifying the difference in driver's legibility time with respect to the spacing of letters on the toad signs. Laboratory simulations were conducted to confirm the difference in legibility time for six target signs of different spacing. Also. a binary logit model was used to find the main factors, which could lower the rate if misreading. This model involves not only a simple enlargement of signs but also a suitable match of letters and signs along with the optimal spacing of the text letters on the road signs to increase the legibility of the sign. The result of this study verified the importance of spacing in road signs and Proved itself to be an effective method to determine the future standard for the road signs.

• Journal of Korean Society of Transportation
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• v.30 no.5
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• pp.11-21
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• 2012

As a strategy to enhance traffic management, roundabouts come to the fore recently to decrease traffic accidents, streamline traffic flows, and expedite the realization of green transportation. As local governments introduced roundabouts, new road sign standards have to be established because the existing road sign regulations cannot be applied to roundabouts. Prior to trying to make suitable specification of sub-destination signs in roundabouts, regulations of other countries were examined and modified. The legend and location was calculated so that drivers could turn in time. Two specifications were determined by simulation experiments. As a result, drivers could read signs at right side better than at traffic island, and turn in time at 15cm legend size. Consequently, we proposed the minimum specifications and optimal locations of sub-destination signs.

• Journal of Korean Society for Geospatial Information Science
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• v.12 no.4 s.31
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• pp.61-68
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• 2004

In this paper, we suggest an automatic technique to obtain 3-D road information in complex urban areas using road pavement markings. This method is composed of following three main steps. The first step is extracting the pavement markings from aerial images, the second one is matching the same pavement markings in two aerial images, and the last one is obtaining the 3-D coordinates of those using EOP(exterior orientation parameters) of aerial images. Here, we focus on the first and second step because the last step can be performed by using the well hewn collinearity condition equation. We used geometric properties and spatial relationships of the pavement markings to extract the lane line markings on the images and extracted arrow lane markings additionally using template matching. And then, we obtained 3-D coordinates of the road using relational matching for the pavement markings. In order to evaluate the accuracy of extraction, we did a visual inspection and compared the result of this technique with those measured by digital photogrammetric system.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.6
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• pp.1-9
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• 2014

Recently, a study is conducting to image collection and auto detection of attribute information using mobile mapping system. The road sign attribute information detection is difficult because of various size and placement, interference of other facilities like trees. In this study, a text detection method that does not rely on a Korean character template is required to successfully detect the target text when a variety of differently sized texts are present near the target texts. To overcome this, the method of incremental right-to-left blob projection (IRBP) was suggested as a solution; the potential and improvement of the method was also assessed. To assess the performance improvement of the IRBP that was developed, the IRBP method was compared to the existing method that uses Korean templates through the 60 videos of street signs that were used. It was verified that text detection can be improved with the IRBP method.

• Proceedings of the ESK Conference
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• 1998.04a
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• pp.105-110
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• 1998

운전자의 인지 능력을 충분히 고려하지 않은 도로 교통 표지판은 운전 상황에서 순간적인 의사 결정을 어력베 하여 교통사고의 가능성을 증가 시킬 수 있으므로 이에 대한 개선책이 시급하다 하겠다. 그러므로 본 연구에서는 수도권 도로 교통 표지판의 인지적 문제를 설문 조사와 현장 조사를 통하여 구체적으로 분 석하고 이에따른 개선안을 제시하였다. 이를 위해, 서울 시내의 사고 다발 지역을 중심으로 교차로 표지 판의 인지공학적 결함을 면밀히 분석하였고, 1997년 표지판 개정안의 설계 원칙에 대한 인지적 문제점을 도출하였다. 그 중, 교차로의 방향 표지, 방향 유도 표지에 나타난 정보 처리 과정의 문제점 및 노면 표지 의 설계가 운전자의 인지적 혼돈을 유발시킬 수 있다는 가정하에 이에 대한 모의 실험을 실시 하였다. 24명 의 피설험자를 대상으로, 개선된 표지판과 현 표지판을 모의 운전 상황에 따라 간헐적으로 컴퓨터 화면을 통해 관측하게 한 후 인지된 내용의 정확도와 반응 시간을 비교하여 분석하였다. 그 결과에 따라 기존 노면 표지의 형태를 개선하고, 방향 예고 표지판과 방향 표지판의 인지적 구별을 명확하게 하는 것이 운전자에게는 정확하고 신속한 의사 결정을 하게 한다는 것을 발견 하고 이에 대한 원칙을 제시하였다. 결론적으로 표지판의 설계와 설치에 있어 행정적인 지원과 인지적인 요인에 대한 고려가 된다면 표지판의 오독으로 인한 교통 사고를 줄여 나가는데 기여할 것으로 기대된다.

• Proceedings of the Korea Multimedia Society Conference
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• 2012.05a
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• pp.28-29
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• 2012

IT 및 자동차 관련 기술의 융합 기술의 발전에 따라 자동차의 안전 및 운전편의 정보 제공에 대한 관심이 높아지면서 인간의 시각 및 지각의 한계를 보완해 줄 수 있는 보조 도구들에 대한 연구 및 개발이 활발히 이루어지고 있다. 그러나 기존의 컴퓨터 비전 기반 도로 교통 표지판 자동 검출 및 인식 기술들은 센싱 장비들의 가격 또는 조도와 원근감에 따른 교통 표지판의 색상과 모양 왜곡으로 인해 해당 표지판들의 검출을 어렵게 한다. 따라서 본 논문에서는 차량 내 탑재가 가능한 저가의 비전 카메라를 이용하여 교통표지판 칼라 분석 및 원근 보정을 통해 운전자에게 효과적으로 도로표지판 정보를 제공할 수 있는 검출기법을 제안한다. 실험을 통해 도로주행영상 내 도로표지판들을 효과적으로 검출할 수 있음을 확인하였다.