Ergebnisse für: Driver Monitoring
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Impairment of driving performance due to drowsiness or fatigue is a major cause of severe traffic accidents, which is motivation for this work on driver monitoring, especially drowsiness detection. To include the physiological correlations of drowsiness in car driving, an extensive experimental stud...
The focus of this dissertation is on the development of robust algorithms for driver monitoring under complex illumination conditions, including dazzling detection, driver's face detection when eyes are covered by the shadow, as well as driver state classification....
This book summarises the state of the art in computer vision-based driver and road monitoring, focussing on monocular vision technology in particular, with the aim to address challenges of driver assistance and autonomous driving systems.While the systems designed for the assistance of drivers of on...
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This book reports on timely research at the interface between biomedical engineering and intelligence technologies applied to biology and healthcare. It covers cutting-edge methods applied to biomechanics and robotics, EEG time series analysis, blood glucose prediction models, among others. It inclu...
This book contains the latest research on machine learning and embedded computing in advanced driver assistance systems (ADAS). It encompasses research in detection, tracking, LiDAR and camera processing, ethics, and communications. Several new datasets are also provided for future research work. R...