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- 저자 : 정호철(Hochoul Jung) (검색결과 2 건)
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정호철(Hochoul Jung),정의윤(Euiyoon Chung) 한국자동차공학회 2005 한국자동차공학회 Symposium Vol.- No.-
We have developed a lane change decision aid system (LCDAS), which detects vehicles and motorcycles behind in adjacent lanes with a vision sensor and informs the driver of dangerous situations during lane change maneuvers. A key technology in LCDAS depends on how it can exactly detect approaching vehicles in spite of weather and environment change. Especially, it's not proper to apply same image analysis algorithm against environment change such as day/night/rainy weather because camera image is very sensitive to illumination condition and weather condition. Therefore, it is very important to choose each mode according to vehicle's signals for improving the performance. In this paper, we divide each mode and vehicle signals (wiper, head lamp and vehicle speed sensor) is used as an input. Also, the right/left turn signal is used to choose left/right camera image. The experiments show that the LCDAS can be utilized as a device which assists safety driving by detecting rear side vehicles under weather and environmental change and warning the driver of dangerous situations during lane change maneuvers.
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정의윤(Euiyoon Chung),정호철(Hochoul Jung),윤형진(Hyungjin Yoon) 한국자동차공학회 2005 한국자동차공학회 춘 추계 학술대회 논문집 Vol.2005 No.5_1
Numerous traffic accidents and dangerous situations arise from careless driving where drivers may not recognize the traffic environment including traffic signals and traffic signs. Recently, various kinds of intelligent systems have been developed to promote driving safety and convenience. In this paper, an algorithm to recognize the traffic signals and traffic signs using an image sensor is proposed and the test results are shown with various road situations and environment. In this algorithm, candidate traffic signals can be chosen by checking the ratios of heights and widths of candidate boxes because the ratios for the traffic signals are standardized. The position of red, yellow, green, and direction sign of the traffic signal is also standardized, so final decision to recognize the traffic signals can be made easily and the colors of the traffic signals are identified based on brightness. Traffic sign can be also recognized using standardized color and shape information and the traffic sign can be identified using a fast and effective pattern recognition algorithm which is appropriate for real time application. The recognized information of traffic signal or traffic sign is informed to driver through display device and speaker.
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