Recent trends in driver safety monitoring systems: State of the art and challenges

A Koesdwiady, R Soua, F Karray… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Driving in busy highways and roads is becoming complex and challenging, as more cars are
hitting the roads. Safe driving requires attentive drivers, quality perception of the …

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 …

Driver fatigue transition prediction in highly automated driving using physiological features

F Zhou, A Alsaid, M Blommer, R Curry… - Expert Systems with …, 2020 - Elsevier
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 …

Effects of Level 3 Automated Vehicle Drivers' Fatigue on Their Take‐Over Behaviour: A Literature Review

H Guo, Y Zhang, S Cai, X Chen - Journal of advanced …, 2021 - Wiley Online Library
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 …

Detecting driver's fatigue, distraction and activity using a non-intrusive ai-based monitoring system

M Costa, D Oliveira, S Pinto, A Tavares - Journal of Artificial …, 2019 - sciendo.com
The lack of attention during the driving task is considered as a major risk factor for fatal road
accidents around the world. Despite the ever-growing trend for autonomous driving which …

Predicting driver fatigue in monotonous automated driving with explanation using GPBoost and SHAP

F Zhou, A Alsaid, M Blommer, R Curry… - … Journal of Human …, 2022 - Taylor & Francis
Research indicates that monotonous automated driving increases the incidence of fatigued
driving. Although many prediction models based on advanced machine learning techniques …

The truck driver scheduling problem with fatigue monitoring

ZE Bowden, CT Ragsdale - Decision Support Systems, 2018 - Elsevier
Abstract In the United States, approximately 4000 fatalities due to truck and bus crashes
occur each year. Of these, up to 20% are estimated to involve fatigued drivers [48]. However …

Fatigue and mental underload further pronounced in L3 conditionally automated driving: Results from an EEG experiment on a test track

N Figalová, HJ Bieg, M Schulz, J Pichen… - … Proceedings of the …, 2023 - dl.acm.org
Drivers' role changes with increasing automation from the primary driver to a system
supervisor. This study investigates how supervising an SAE L2 and L3 automated vehicle …

Predicting driver fatigue in automated driving with explainability

F Zhou, A Alsaid, M Blommer, R Curry… - arXiv preprint arXiv …, 2021 - arxiv.org
Research indicates that monotonous automated driving increases the incidence of fatigued
driving. Although many prediction models based on advanced machine learning techniques …

[PDF][PDF] Eye detection based on Viola & Jones Detector, skin color, and eye template

S El Kaddouhi, A Saaidi, M Abarkan - International Journal of …, 2018 - researchgate.net
In this paper, we propose a new method of eye detection based on Viola & Jones detector,
skin color and eye template. Our method is processed into three steps: In the first step, faces …