Abstract
Advanced Driver Assistance Systems (ADAS) provide warnings and in some cases autonomous actions to increase driver and passenger safety by combining sensor technologies and situation awareness. In the last 10 years progressed from prototype demonstrators to full product deployment in motor vehicles. Early ADAS examples include Lane Departure Warning (LDW) and Forward Collision Warning (FCW) systems have been developed to warn drivers of potentially dangerous situations. More recently, driver inattention systems have made their debut. These systems are tackling one of the major causes of fatalities on roads – drowsiness and distraction. This paper describes DSS, a driver inattention warning system which has been developed by Seeing Machines for commercial applications, with an initial focus on heavy vehicle fleet management applications. A case study reporting a year-long real-world deployment of DSS is presented. The study showed the effectiveness of the DSS technology in mitigating driver inattention in a sustained manner.
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© 2014 Springer-Verlag GmbH Berlin Heidelberg
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Heinzman, J., Zelinsky, A. (2014). Automotive Safety Solutions through Technology and Human-Factors Innovation. In: Khatib, O., Kumar, V., Sukhatme, G. (eds) Experimental Robotics. Springer Tracts in Advanced Robotics, vol 79. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28572-1_10
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DOI: https://doi.org/10.1007/978-3-642-28572-1_10
Publisher Name: Springer, Berlin, Heidelberg
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