Predicting driver drowsiness using vehicle measures: Recent insights and future challenges

CC Liu, SG Hosking, MG Lenné - Journal of safety research, 2009 - Elsevier
INTRODUCTION: Driver drowsiness is a significant contributing factor to road crashes. One
approach to tackling this issue is to develop technological countermeasures for detecting …

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 …

EEG-based drowsiness estimation for safety driving using independent component analysis

CT Lin, RC Wu, SF Liang, WH Chao… - … on Circuits and …, 2005 - ieeexplore.ieee.org
Preventing accidents caused by drowsiness has become a major focus of active safety
driving in recent years. It requires an optimal technique to continuously detect drivers' …

A real-time wireless brain–computer interface system for drowsiness detection

CT Lin, CJ Chang, BS Lin, SH Hung… - IEEE transactions on …, 2010 - ieeexplore.ieee.org
A real-time wireless electroencephalogram (EEG)-based brain-computer interface (BCI)
system for drowsiness detection has been proposed. Drowsy driving has been implicated as …

An optimal-control-based framework for trajectory planning, threat assessment, and semi-autonomous control of passenger vehicles in hazard avoidance scenarios

SJ Anderson, SC Peters, TE Pilutti… - … Journal of Vehicle …, 2010 - inderscienceonline.com
This paper formulates the vehicle navigation task as a constrained optimal control problem
with constraints bounding a traversable region of the environment. A model predictive …

[PDF][PDF] 智能汽车人机协同控制的研究现状与展望

胡云峰, 曲婷, 刘俊, 施竹清, 朱冰, 曹东璞, 陈虹 - 自动化学报, 2019 - aas.net.cn
摘要随着人工智能, 互联网技术, 通信技术, 计算机技术的快速发展, 以电动化,
智能化及网联化为基础的智能汽车成为汽车行业发展的一大趋势. 按照汽车智能化 …

Driver drowsiness monitoring based on yawning detection

S Abtahi, B Hariri… - 2011 IEEE International …, 2011 - ieeexplore.ieee.org
Fatigue and drowsiness of drivers are amongst the significant causes of road accidents. In
this paper, we discuss a method for detecting drivers' drowsiness and subsequently alerting …

Cognitive cars: A new frontier for ADAS research

L Li, D Wen, NN Zheng, LC Shen - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
This paper provides a survey of recent works on cognitive cars with a focus on driver-
oriented intelligent vehicle motion control. The main objective here is to clarify the goals and …

Driver fatigue detection: a survey

Q Wang, J Yang, M Ren, Y Zheng - 2006 6th world congress …, 2006 - ieeexplore.ieee.org
Driver fatigue is an important factor in a large number of accidents. There has been much
work done in driver fatigue detection. This paper presents a comprehensive survey of …

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 …