Driver fatigue detection systems: A review

G Sikander, S Anwar - IEEE Transactions on Intelligent …, 2018 - ieeexplore.ieee.org
Driver fatigue has been attributed to traffic accidents; therefore, fatigue-related traffic
accidents have a higher fatality rate and cause more damage to the surroundings compared …

Detecting driver drowsiness based on sensors: a review

A Sahayadhas, K Sundaraj, M Murugappan - Sensors, 2012 - mdpi.com
In recent years, driver drowsiness has been one of the major causes of road accidents and
can lead to severe physical injuries, deaths and significant economic losses. Statistics …

[PDF][PDF] 智能网联汽车(ICV) 技术的发展现状及趋势

李克强, 戴一凡, 李升波… - 汽车安全与 …, 2017 - idlabweb.oss-cn-beijing.aliyuncs …
综述了智能网联汽车(ICV) 技术的发展现状及趋势. ICV 的体系架构包括价值链,
技术链与产业链. ICV 的4 个发展阶段是: 自主式驾驶辅助, 网联式驾驶辅助, 人机共驾 …

Driver behavior analysis for safe driving: A survey

S Kaplan, MA Guvensan, AG Yavuz… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Driver drowsiness and distraction are two main reasons for traffic accidents and the related
financial losses. Therefore, researchers have been working for more than a decade on …

Driver drowsiness measurement technologies: Current research, market solutions, and challenges

M Doudou, A Bouabdallah… - International Journal of …, 2020 - Springer
Significant advances in embedded technologies hold promise to characterize and monitor
driver's state of alertness and detect critical levels of driver drowsiness in real-time. While …

An investigation of early detection of driver drowsiness using ensemble machine learning based on hybrid sensing

J Gwak, A Hirao, M Shino - Applied Sciences, 2020 - mdpi.com
Drowsy driving is one of the main causes of traffic accidents. To reduce such accidents, early
detection of drowsy driving is needed. In previous studies, it was shown that driver …

Various approaches for driver and driving behavior monitoring: A review

HB Kang - Proceedings of the IEEE International Conference on …, 2013 - cv-foundation.org
In recent years, driver drowsiness and distraction have been important factors in a large
number of accidents because they reduce driver perception level and decision making …

REDECA: a novel framework to review artificial intelligence and its applications in occupational safety and health

M Pishgar, SF Issa, M Sietsema, P Pratap… - International journal of …, 2021 - mdpi.com
Introduction: The field of artificial intelligence (AI) is rapidly expanding, with many
applications seen routinely in health care, industry, and education, and increasingly in …

Early detection of driver drowsiness utilizing machine learning based on physiological signals, behavioral measures, and driving performance

J Gwak, M Shino, A Hirao - 2018 21st international conference …, 2018 - ieeexplore.ieee.org
Driver drowsiness is one of the most causes of traffic accidents worldwide. To prevent such
accidents, it is necessary to detect driver drowsiness as early as possible. In previous …

Driver inattention detection in the context of next-generation autonomous vehicles design: A survey

A El Khatib, C Ou, F Karray - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
Driver inattention is among major contributing factors to traffic accidents. There have been
and continue to be efforts by governing bodies, car manufacturers, and researchers to …