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Driver drowsiness detection is a car safety technology which helps prevent accidents caused by the driver getting drowsy. Various studies have suggested that around 20% of all road accidents are fatigue-related, up to 50% on certain roads. [1] [2]
Toyota models that have adopted the Driver Monitoring System: 2008 Toyota Crown Hybrid (includes drowsiness detection) General Motors first demonstrated their Super Cruise hands free driving using Seeing Machines Driver Monitoring System in the Cadillac CT6, soon to be rolled out across 22 models. [8] 2017 Cadillac CT6; 2021 Cadillac Escalade [9]
In the United States, 250,000 drivers fall asleep at the wheel every day, according to the Division of Sleep Medicine at Harvard Medical School and in a national poll by the National Sleep Foundation, 54% of adult drivers said they had driven while drowsy during the past year with 28% saying they had actually fallen asleep while driving.
Kunihiko Fukushima's convolutional neural network (CNN) architecture of 1979 [36] also introduced max pooling, [49] a popular downsampling procedure for CNNs. CNNs have become an essential tool for computer vision. The time delay neural network (TDNN) was introduced in 1987 by Alex Waibel to apply CNN to phoneme recognition. It used ...
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