Driver fatigue is an essential reason for traffic accidents, which poses a severe threat to
people's lives and property. In this review, we summarize the latest research findings and …

A physiological-based driver monitoring system (DMS) has attracted research interest and
has great potential for providing more accurate and reliable monitoring of the driver's state …

Detecting driver fatigue is critical for ensuring traffic safety. Electroencephalography (EEG) is
the golden standard for brain activity measurement and is considered a good indicator of …

With the development of transportation and the ever-improving of vehicular technology,
Artificial Intelligence (AI) has been popularized in Intelligent Transportation Systems (ITS) …

Fatigue driving is one of the leading causes of traffic accidents, so fatigue driving detection
technology plays a crucial role in road safety. The physiological information-based fatigue …

Various studies have shown that it is necessary to estimate the drivers' vigilance to reduce
the occurrence of traffic accidents. Most existing EEG-based vigilance estimation studies …

Driver Fingerprinting (DF), reflecting unique driving characteristics, has received extensive
attention for its prominent applications in various domains such as driver identification in …

Our work focuses on the exploration of the internal relationships of signals in an individual
sensor. In particular, we address the problem of not being able to evaluate such intrasensor …

Driver fatigue represents a significant peril to global traffic safety, necessitating the
advancement of potent fatigue monitoring methodologies to bolster road safety. This …

Due to the poor accuracy, low efficiency and poor stability of fatigue driving detection of
urban road at night, this paper proposes a fatigue driving detection of urban road at night …