초록

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Abstract ▼ AI-Helper

According to the report from Korea Transportation Safety Authority in 2012, drowsy driving and distraction among safe driving non-performance errors were accounted for over 50%. In other words, it is effective that we inhibit driver behaviors such as drowsy driving and distraction in order to reduc...

According to the report from Korea Transportation Safety Authority in 2012, drowsy driving and distraction among safe driving non-performance errors were accounted for over 50%. In other words, it is effective that we inhibit driver behaviors such as drowsy driving and distraction in order to reduce the domestic traffic accidents which were occupied more than 70%. Many researches have used camera or bio-signal sensors in order to monitor the driver status when driving. In this paper, we propose a dangerous driving conditions detection algorithm using fuzzy theory based on integrated HVI(image, bio-signal, vehicle movement) in order to prevent traffic accidents arising from combination of driver and environmental factors. The simulation results show that the proposed method effectively estimates dangerous driving status in response to various driver conditions.

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