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운전자 전방주시 향상을 위한 AR-HUD 시스템 특성 평가
오영달(Young-Dal Oh),김은정(Eun-Jeong Kim),박선홍(Sun-Hong Park) 대한전자공학회 2015 대한전자공학회 학술대회 Vol.2015 No.6
Recently, driver’s distraction while driving is main factor has been blamed for the rise in cases of traffic accident. In order to prevent the above mentioned problem, HUD(Head Up Display) attracted our attention as one of the best solutions. Nowadays, HUD is applying augmented reality in relation to ADAS and offering a various driving -related information to driver. The objective of this paper is to evaluate the properties of the developed AR-HUD using questionnaire survey and eye-tracking analysis. To do this, we developed the LED modules that is able to reproduce illuminance environment. Furthermore our test scenarios is composed of 10 items and questionnaire. In this time, we show the results of experiment and discuss about them.
운전자 주의분산 방지 기술개발을 위한 시선 각도 임계치 설정 연구
류동운(Dong-Woon Ryu),오영달(Young-Dal Oh),박선홍(Sun-Hong Park) 대한전자공학회 2016 대한전자공학회 학술대회 Vol.2016 No.6
The driver distraction has emerged as one of the main factors of traffic accidents. In relation this, a number of researches for preventing the accidents caused by the driver distraction have been presented. In this paper, we proposed the new method to develop driver’s face direction angle threshold for distracted driving prevention technology and showed the results under various visual angle conditions using Virtual Reality Driving Simulator(VRDS). Finally, we showed the effectiveness of our proposed method through statistical analysis.
국내 도심로 교통 흐름 관점 자율주행 자동차 안전성 평가 시나리오 개발 연구
이훈(Hun Lee),오영달(Young-Dal Oh),김문식(Moon-Sik Kim),박선홍(Sun-Hong Park) 대한전자공학회 2023 대한전자공학회 학술대회 Vol.2023 No.6
As the level of automated driving technology advances, there is an increasing demand for high levels of safety. To evaluate this, many companies developing automated vehicles have conducted long-distance testing and evaluation under varying road traffic conditions, but ensuring safety in various traffic and weather conditions can be limitation. Consequently, a number of researches on scenario-based testing methods have gained momentum as an alternative to long-distance testing and evaluations, with active development of scenarios for this purpose. Recently, attempts have been made to develop scenarios that consider physical factors that may disrupt the performance of automated driving perception, decision-making, and control units and to evaluate safety through them. In this paper, factors causing disruption in road geometry and the physical aspects of automated driving decision-making components were categorized to evaluate the safety of automated vehicles on urban roads in domestic environments. Urban road safety evaluation scenarios that considered traffic rule violations of surrounding vehicles were developed by combining these elements, while scenarios that were unlikely to occur in reality were eliminated. As a result, 185 highly abstracted scenarios for evaluating safety on urban roads were developed.