Review and perspectives on driver digital twin and its enabling technologies for intelligent vehicles
Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …
and transportation systems to digitize and synergize connected automated vehicles …
A review of recent developments in driver drowsiness detection systems
Continuous advancements in computing technology and artificial intelligence in the past
decade have led to improvements in driver monitoring systems. Numerous experimental …
decade have led to improvements in driver monitoring systems. Numerous experimental …
Intelligent driver drowsiness detection for traffic safety based on multi CNN deep model and facial subsampling
Facts reveal that numerous road accidents worldwide occur due to fatigue, drowsiness, and
distraction while driving. Few works on the automated drowsiness detection problem …
distraction while driving. Few works on the automated drowsiness detection problem …
A survey on driver behavior analysis from in-vehicle cameras
Distracted or drowsy driving is unsafe driving behavior responsible for thousands of crashes
every year. Studying driver behavior has challenges associated with observing drivers in …
every year. Studying driver behavior has challenges associated with observing drivers in …
Real-time machine learning-based driver drowsiness detection using visual features
Drowsiness-related car accidents continue to have a significant effect on road safety. Many
of these accidents can be eliminated by alerting the drivers once they start feeling drowsy …
of these accidents can be eliminated by alerting the drivers once they start feeling drowsy …
A novel learning model of driver fatigue features representation for steering wheel angle
Z Li, L Chen, L Nie, SX Yang - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
In the field of advanced driver assistance systems (ADAS), effective learning of driver fatigue
characteristics representation is a major challenge due to uncertainties of both real roads …
characteristics representation is a major challenge due to uncertainties of both real roads …
Early identification and detection of driver drowsiness by hybrid machine learning
Drunkenness or exhaustion is a leading cause of car accidents, with severe implications for
road safety. More fatal accidents could be avoided if fatigued drivers were warned ahead of …
road safety. More fatal accidents could be avoided if fatigued drivers were warned ahead of …
Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review
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 …
drowsiness, and fatigue. These accidents can be avoided, if drivers are warned in time …
[HTML][HTML] A systematic review on detection and prediction of driver drowsiness
ME Shaik - Transportation research interdisciplinary perspectives, 2023 - Elsevier
Driver drowsiness has emerged as one of the key factors in recent times' traffic accidents,
which can result in fatalities, serious physical losses, large monetary losses, and significant …
which can result in fatalities, serious physical losses, large monetary losses, and significant …
Attention for vision-based assistive and automated driving: A review of algorithms and datasets
I Kotseruba, JK Tsotsos - IEEE transactions on intelligent …, 2022 - ieeexplore.ieee.org
Driving safety has been a concern since the first cars appeared on the streets. Driver
inattention has been singled out as a major cause of accidents early on. This is hardly …
inattention has been singled out as a major cause of accidents early on. This is hardly …