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Driver states adaptive drive supporting system is highly expected in use for the reduction of the number of traffic accidents. This study aimed at creating a constituent technology for detecting driver's cognitive distraction, which may be one of major factors of driver's psychosomatic states just before a traffic accident. We reproduced driver's cognitive distraction by means of imposing cognitive...
This paper points to a component technology of driver monitoring system which has not been explored yet, namely, automated camera calibration. It proposes that the calibration should not be left to be done manually, as is the case now, but should be automated. In particular, this paper describes an algorithm to automatically update the camera parameters of the in-vehicle driver monitoring camera system...
Effects of driver's states adaptive driving support systems is highly expected for the prevention of traffic accidents. In order to create this constituent technology, detecting driver's psychosomatic states which occurs just before a traffic accident is essential. Therefore driver's distraction is thought as one of important factors. This study focused on detecting driver's cognitive distraction,...
Detecting the mental and physical states which occur in a driver immediately before a traffic accident and then providing information to or warning the driver is an effective means of reducing traffic accidents. This study is focused on driver distraction, a state which can easily lead to traffic accidents, and reproduced this distraction in a driving simulator by providing conversation or arithmetic...
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