• 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.

• Journal of Korean Society for Geospatial Information Science
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• v.20 no.2
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• pp.31-37
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• 2012

Because of road construction and expansion, Update of the road traffic facilities DB is steadily increased each year, and, Increasing drivers and cars, safety signs for traffic safety are required management and additional installation continuously. To update Safety Sign database promptly, we have developed auto recognition function of safety sign, and analyzed coordinates accuracy. The purpose of this study was to propose methods to update about road traffic facilities efficiently. For this purpose, omni-directional camera was calibrated for acquisition of 3-dimensional coordinates, integrated GPS/IMU/DMI system and applied image processing. In this experiment, we proposed a effective method to update database of road traffic facilities for digital map.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.1
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• pp.41-51
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• 2010

In the research for driver assistance systems, traffic sign information to the driver must be a very important information. Therefore, the detection system of traffic signs located on the road should be able to handel real-time. To detect the traffic signs, color and shape of traffic signs is to use the information after images obtained using the CCD camera. In the road environment, however, using color information to detect traffic sings will cause many problems due to changes of weather and environmental factors. In this paper, to solve it, the candidate traffic sign regions are detected from road images obtained in a variety of the illumination changes using the HSI eign-color model. And then, using the invariant moment-based SVM classifier to detect traffic signs are proposed. Experimental results show that, traffic sign detection rate is 91%, and the processing time per frame is 0.38sec. Proposed method is useful for real-time intelligent traffic guidance systems can be applied.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.6
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• pp.117-132
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• 2021

Due to the terrain in Korea, there are many road sections passing through mountainous areas. During the winter, there is a higher risk of traffic accidents, due to black ice caused by the lack of sunlight. Despite domestic road freezing safety measures, accidents caused by road freezing results in severe traffic accidents. Under these considerations, this study analyzed whether traffic safety signs that change in response to the external temperature help drivers recognize frozen road segments. The study was conducted through analysis of the effect of the signs on a driver's perspective. For the signs under development, out of the signs designed by experts, the sign design which received the highest visibility and effectiveness evaluation ratings from the general public was selected. The sign was implemented through Virtual Reality (VR) and installed on the right side of the road to analyze the effect on gazing and driving behavior. As a result of analyzing the driver's driving behavior, a speed reduction of about 7km/h or more was found in the sign section. Therefore, It was found that the existence of the sign had a strong relationship with the rate of the drivers' speed reduction.

• The Safety technology
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• no.36
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• pp.12-17
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• 2000

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2017.11a
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• pp.224-226
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• 2017

해양 교통안전을 위하여 해상에서선박에 필요한 정보를 제공하기 위하여 UN 등 국제규정에 의해 지시와 규제 및 안내표지판을 설치하고 있으며, 야간에도 항해선박에서 식별이 용이하도록 LED, 역반사재, 표시판의 조사 등 다양한 방법에 의해 식별을 강화하고 있으나, 항해자의 눈부심, 발광 빛의 번지는 형상, 전력의 공급 등 취약적인 요소가 나타나고 있는 실정이다. 이 연구에서는 해상에 설치되는 안전신호 표시판을 항해자가 보다 분명하게 식별할 수 있고, 해상에서 독립적인 전력을 획득하여 빌광할 수 있도록 연구 개발하였다.

• Journal of the Korea Institute of Building Construction
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• v.19 no.3
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• pp.273-279
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• 2019

Safety sign panel has been used in construction sites to assure the safety of the workers. Such safety panel can be categorized as 4 different signals, such as prohibition, warning, indication, and information. Each of the categorized item must follow lawful which is specifically designated for its own purposes, on its color and the shape. However, the color and shape of the safety sign panels that have been used in construction sites are not found to follow the suggested lawful requirement, and such differences are originated from safety merchandise production company or vendor, and construction company. In this study, samples of safety sign panels were obtained from various construction sites in Republic of Korea then the colors of such samples were measured, analyzed, and compared. According to the results, colors of the safety sign panels were out of the lawful requirement due to the aging and surface contamination of the safety sign panel. Frequent maintenance on the safety sign panel is therefore necessary. In addition, steel panels that were used in the construction sites were found to be unsuitable to meet the lawful requirements. In order to the color requirements on safety sign panel, it is recommended for Korea Occupational Safety and Health Agency to provide standard reference sample for each material used to produce safety sign panel, to distribute them to the producer and construction sites, and to supervise overall system.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.317-318
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• 2023

본 논문에서는 CNN(Convolutional Neural Network)을 활용하여 자율주행 자동차가 각 국가별 교통 규칙 및 도로 표시를 이해하고 정확한 주행을 할 수 있도록, Deep Neural Network 시스템을 설계하고 구현하는 방법을 제안한다. 연구 방법으로는 한국도로교통공단(koroad)에서 제공하는 교통안전표지 일람표 이미지를 학습하여, 차량이 자율주행을 하기 위해 요구되는 표지판을 인식할 수 있도록 하였다. 본 논문에서 설계한 학습 시스템으로 도로교통표지판의 인식에 성공했으며, 이를 통해 자율주행차량이 표지판을 인식할 수 있으며, 시각장애인 및 고령운전자를 위한 지원 역시 가능하다고 사료된다.

• The Journal of the Korea Contents Association
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• v.7 no.2
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• pp.63-72
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• 2007

The traffic sign on the road should be easy to distinguishable even from far, and should be recognized in a short time. As traffic sign is a very important object which provides important information for the drivers to enhance safety, it has to attract human's attention among any other objects on the road. This paper proposes a new method of detecting the area of traffic sign, which uses attention module on the assumption that we attention our gaze on the traffic sign at first among other objects when we drive a car. In this paper, we analyze the previous studies of psycophysical and physiological results to get what kind of features are used in the process of human's object recognition, especially color processing, and with these results we detected the area of traffic sign. Various kinds of traffic sign images were tested, and the results showed good quality(average 97.8% success).

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 1999.06a
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• pp.277-280
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• 1999

신호단어는 잠재적 위험을 빠르게 알리는 데에 주로 사용하는데, 위험, 경고, 주의, 지시등의 용어가 여기에 해당된다. 각각의 단어는 위험의 성질, 따르지 않았을 때의 결과, 또 필요로 되는 행위를 포함하고 있다. 이러한 이유 때문에 이미 교통안전분야에 도로표지판의 정보전달이나, 자동차 번호판의 개선에 대하여 연구를 계속하여 오고 있으나, 산업안전분야에의 적용은 아직 미흡한 수준에 머물러 있다. (중략)