A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Driver inattention detection through intelligent analysis of readily available sensors
Driver inattention is estimated to be a significant factor for over 25% of all crashes. A system that could accurately detect driver inattention could aid in reducing this number. In contrast to using specialized sensors or video cameras to monitor the driver we detect driver inattention by using only readily available sensors. A classifier was trained using collision avoidance systems (CAS) sensors, which was able to accurately identify 80% of driver inattention and could be added to a vehicle without incurring the cost of additional sensors.
Driver inattention detection through intelligent analysis of readily available sensors
Driver inattention is estimated to be a significant factor for over 25% of all crashes. A system that could accurately detect driver inattention could aid in reducing this number. In contrast to using specialized sensors or video cameras to monitor the driver we detect driver inattention by using only readily available sensors. A classifier was trained using collision avoidance systems (CAS) sensors, which was able to accurately identify 80% of driver inattention and could be added to a vehicle without incurring the cost of additional sensors.
Driver inattention detection through intelligent analysis of readily available sensors
Torkkola, K. (author) / Massey, N. (author) / Wood, C. (author)
2004-01-01
552591 byte
Conference paper
Electronic Resource
English
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