Drowsiness or fatigue is a major cause of road accidents and has significant implications for
road safety. Several deadly accidents can be prevented if the drowsy drivers are warned in …

Conditionally automated vehicles can be operated on most regular roads without driver's
supervision. They show excellent potential for market adoption and are now being targeted …

Driver drowsiness has caused a large number of serious injuries and deaths on public roads
and incurred billions of taxpayer dollars in costs. Hence, monitoring of drowsiness is critical …

One of the main causes of traffic accidents is driver fatigue due to monotonous driving, sleep
deprivation, boredom, or a combination of these. Thus, fatigue detection systems have been …

The main purpose of a detection system is to ascertain the state of an individual's eyes,
whether they are open and alert or closed, and then alert them to their level of fatigue. As a …

Driver state detection system is designed with physiological and physical sensors. The
proposed system conveys a way in which sensor data can be integrated to obtain the …

The main objective of this paper is to determine the feasibility of designing a driver
drunkenness detection system based on the dynamic analysis of a subject's pupillary light …

With advancements in automated driving technology, Level 3 vehicle automation has been
proliferating. In Level 3, drivers can turn their attention to things unrelated to driving and only …

Drowsy drivers cause the most car accidents thus, adopting an efficient drowsiness
detection system can alert the driver promptly and precisely which will reduce the numbers …

Background Mental fatigue is one of the most causes of road accidents. Identification of
biological tools and methods such as electroencephalogram (EEG) are invaluable to detect …