• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.621-624
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• 2007

본 논문에서는 교통 이력 데이터 분석을 통해 운전자에게 유용한 정보를 식별하는 방법을 제안한다. 이를 위해 차량 속도 분석을 이용한 요일, 시간 별 도로 중요도, 도로속성을 이용한 도로 중요도 결정 시스템을 개발하였다. 또한, 돌발상황 발생 시에도 그 예측 영향범위에 따른 선별적 정보제공이 가능한 시스템을 개발하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.727-730
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• 2009

최근 그린 성장산업의 발전과 더불어 이슈화되고 있는 장애인들을 위한 전동휠체어와 일반인들의 자전거가 급격하게 보급되고 발전하고 있는 것에 반하여, 이동수단을 사용할 때 발생할 수 있는 위험으로부터의 대책은 예전과 전혀 다를 바가 없는 상황이라 할 수 있다. 이에 본 연구는 자동차 중심으로 개발되어 있는 네비게이션 기능과 그 서비스에 가장 적합한 도로 및 주변정보 콘텐츠를 전동휠체어와 자전거 중심의 시스템으로 재설계하여 그들을 위험으로부터 최소한의 보호하고 사고를 예방을 할 수 있는 전용 네비게이션을 개발하고자 한다. 본 연구에 의하여 제시된 연구결과가 자전거 사용자와 전동휠체어를 사용하는 장애인들의 생활을 더욱 안전하게하고, Slow-Moving 기기들의 보급 확장에도 도움이 되기를 기대한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.94-97
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• 2009

본 논문에서는 실제 도로 환경에서의 실시간 차선 인식 방법을 제안한다. 전방주시카메라를 활용하여 촬영한 입력영상으로부터 도로영역에 해당하는 관심영역을 추출하고 반복적인 평균 명도를 측정하여 이진화함으로써 차선 특징을 검출하고 YCbCr 변환한 영상에 대한 실험 임계값을 적용하여 중앙선의 특징을 검출하였다. 이에 Canny 알고리즘을 이용한 에지 추출로 허프 변환시의 작업량을 최소화하였으며 허프 변환하여 얻은 차선 후보군으로부터 각도를 기반으로 필터링하여 통계적으로 우선순위가 높은 선분을 차선으로 인식하였다. 또한 실제 도로 환경에서 수집한 동영상으로 실험한 결과 강건한 차선 인식률을 보였다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.3
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• pp.109-118
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• 2019

Road information is one of the most significant geospatial data for applications such as transportation, city planning, map generation, LBS (Location-Based Service), and GIS (Geographic Information System) database updates. Robust technologies to acquire and update accurate road information can contribute significantly to geospatial industries. In this study, we analyze the limitations of ACO (Ant Colony Optimization) road extraction, which is a recently introduced object-based road extraction method using high-resolution satellite images. Object-based ACO road extraction can efficiently extract road areas using both spectral and morphological information. This method, however, is highly dependent on object descriptor information and requires manual designations of descriptors. Moreover, reasonable iteration closing point needs to be specified. In this study, we perform improved ACO road extraction on VHR (Very High Resolution) optical satellite image by proposing an optimization stopping criteria and descriptors that complements the limitations of the existing method. The proposed method revealed 52.51% completeness, 6.12% correctness, and a 51.53% quality improvement over the existing algorithm.

• International Journal of Highway Engineering
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• v.10 no.2
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• pp.101-113
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• 2008

VMS are installed in many Korean highways in oder to give drivers informations such as travel time to destination, congestion and Incident situation. However, some guidelines for install VMS are restricted in only geometric factors although human factors considering driver behavior are very important to affect the VMS installation. Therefore, this paper are focusing on developing and verifying the discriminant model for VMS installation considering human factors. As a result, following outputs are obtained ; (1) developing the discriminant model using human factors of driving simulation experiments in oder to predict driver reading VMS messages safely detour highway. (2) proving that driving experiences in highway, personal driving history, vehicle speed orderly affects VMS installation (3) verifying predictability of developed model by comparing the real values with predicted values. (4) suggesting that VMS should be installed off 3.2Km from the I.C. of rural highway.

• Spatial Information Research
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• v.21 no.4
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• pp.63-70
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• 2013

With the increasing use of high-performance mobile devices such as smartphones, users have been able to connect to the Internet anywhere, anytime, so that Location Based Services(LBSes) have been popular among the users in order to obtain personalized information associated with their locations. The services have advanced to provide the information realistically and intuitively by adopting Augmented Reality(AR) technology, where the technology utilizes various sensors embedded in the mobile devices. However, the services have inherent problems due to the small screen size of the mobile devices and the complexity of the real world environment. Overlapping contents on a small screen and user's possible movement should be taken into consideration in displaying the icons on objects that block user's environment such as trees and buildings. The problems mainly happen when the services use only user's location and sensor data to calculate the position of the displayed information. In order to solve the problems, this paper proposes a method that applies street data extracted from a digital map. The method uses the street data as well as the location and direction data to determine contents that are placed on both sides of a virtual street which augments the real street. With scrolling the virtual street, which means a virtual movement, some information far away from the location of the user can be identified without user's actual movement. Also the proposed method is implemented for region "Aenigol", and the efficiency and usefulness of the method is verified.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.01a
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• pp.79-81
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• 2020

최근 블랙 아이스에 의한 사고 사례가 많다. 블랙 아이스는 사람의 눈으로 식별하기 힘들고, 보인다 하더라도 도로가 조금 젖은 것으로 판단할 가능성이 높아 차량 사고를 유발할 확률이 높다. 본 논문에서는 블랙 아이스로 인한 사고를 조금이라도 줄이기 위해 센서를 통하여 블랙 아이스를 판별하고 사전 예방할 수 있는 방법과 해결책에 대해 고찰해보고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.185-186
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• 2023

본 시스템은 도로교통법에 위반하는 개인 이동형 장치의 사용을 억제하기 위한 기술적 방안으로서 서비스 가입 절차에서의 자격 조건 인증을 강화하고 사용 가능한 편법을 제거하는 장치를 마련하여 시민들에게 안전한 도로를 제공하는데 의의를 둔다.

• Journal of Korean Society of Transportation
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• v.30 no.5
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• pp.61-69
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• 2012

It is important for highway maintenance and safety assessment to get the accurate highway geometric information. However, it is difficult to acquire good highway geometric information due to missing blueprints or deteriorated highway sections. This research, to get highway geometric information rapidly, has developed a highway geometric analysis algorithm that uses data from vehicles with GPS-IMU integrated system. In conclusion, the result shows that 3.38% of error-ratio for the horizontal alignment and 0.083 absolute value difference for vertical grade comparing with highway drawings. Therefore, the result suggest that the developed method can be applied to the road safety inspection or road safety audit.

• KIPS Transactions on Computer and Communication Systems
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• v.5 no.10
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• pp.327-330
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• 2016

In the road environment with lots of vehicles, we can increase the number of vehicles on the road (i.e., road capacity) and enhance the comfortability of drivers if vehicles are organized into platoons. In the traditional vehicle platooning mechanisms, a pre-determined set of vehicles are allowed to form a platoon and, among them, a specific vehicle is designated as the platoon leader. In this type of platoon mechanisms, platoon is limited in improving the road capacity because the vehicles allowed to involve into platooning are restricted. Therefore, in this paper, we propose an adaptive platoon formation mechanism that allows any vehicle to be a platoon leader from which a platoon is formed. In the proposed mechanism, a platoon leader is elected based on the relative velocity and location information of neighboring vehicles obtained through the periodic exchange of beacon messages among vehicles. Through the NS-3 based simulations, we show the performance of our proposed mechanism in terms of road capacity improvement.