Title: Low Attention Driving Detection Methodology for Adaptation of Driver Assistance Systems
Abstract: Most of road accidents are mainly caused by driving distraction or inattention. This paper proposes a methodology to detect low attention state based on an individual driver reference model in car-following state. First, a driver-vehicle reference model in car-following state, treating the host vehicle and the preceding vehicle as a 1-DOF spring-mass- damper system, is used to express the normative driving of the driver. Next, low attention driving state is detected by comparing the current driving data with the value estimated by the reference model. Finally, the validity of the proposed objective evaluation is investigated by comparing to subjective evaluation of drivers and video image of the driver’s facial expression during driving on highway.
Publication Year: 2011
Publication Date: 2011-01-01
Language: en
Type: article
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Cited By Count: 2
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