Fatal and serious injuries of vulnerable road users (VRU) occur frequently in the events of
vehicle impact. Front-end crashworthiness of vehicle can considerably affect VRU injuries in …

There are several factors for vehicle accidents during driving such as drivers' negligence,
drowsiness, and fatigue. These accidents can be avoided, if drivers are warned in time …

Existing visual-based fatigue detection methods usually monitor drivers' fatigue by capturing
their facial features, including eyelid movements, yawn frequency and head pose. However …

Drowsy driving is a widespread cause of traffic accidents, especially on highways. It has
become an essential task to seek an understanding of the situation in order to be able to …

Driver drowsiness is one of the main causes of traffic accidents today. In recent years, driver
drowsiness detection has suffered from issues integrating deep learning (DL) with Internet-of …

The majority of the accidents were happening perpetually due to driver drowsiness over the
decades. Automation has been playing key role in many fields to provide conformity and …

Recently, the upsurge in accidents is caused due to driver drowsiness arises due to lack of
sleep, fatigue and other health factors. The drowsiness leads to mortality, loss of properties …

Mental fatigue refers to the decline in cognitive abilities that can occur as a result of
prolonged mental exertion. Neuroscientists have been studying mental fatigue for a while …

A sophisticated Drowsiness Detection System via Deep Transfer Learning for real time
scenarios Page 1 AIMS Mathematics, 9(2): 3211–3234. DOI: 10.3934/math.2024156 …

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 …