Driver fatigue detection systems: A review

G Sikander, S Anwar - IEEE Transactions on Intelligent …, 2018 - ieeexplore.ieee.org
Driver fatigue has been attributed to traffic accidents; therefore, fatigue-related traffic
accidents have a higher fatality rate and cause more damage to the surroundings compared …

Driver distraction detection methods: A literature review and framework

A Kashevnik, R Shchedrin, C Kaiser, A Stocker - IEEE Access, 2021 - ieeexplore.ieee.org
Driver inattention and distraction are the main causes of road accidents, many of which
result in fatalities. To reduce road accidents, the development of information systems to …

Artificial intelligence-based vehicular traffic flow prediction methods for supporting intelligent transportation systems

A Boukerche, Y Tao, P Sun - Computer networks, 2020 - Elsevier
In recent years, the Intelligent transportations system (ITS) has received considerable
attention, due to higher demands for road safety and efficiency in highly interconnected road …

Efficient Wi-Fi-based human activity recognition using adaptive antenna elimination

MKA Jannat, MS Islam, SH Yang, H Liu - IEEE Access, 2023 - ieeexplore.ieee.org
Recently, Wi-Fi-based human activity recognition using channel state information (CSI)
signals has gained popularity due to its potential features, such as passive sensing and …

Real-time driver-drowsiness detection system using facial features

W Deng, R Wu - Ieee Access, 2019 - ieeexplore.ieee.org
The face, an important part of the body, conveys a lot of information. When a driver is in a
state of fatigue, the facial expressions, eg, the frequency of blinking and yawning, are …

Heart rate variability-based driver drowsiness detection and its validation with EEG

K Fujiwara, E Abe, K Kamata… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Objective: Driver drowsiness detection is a key technology that can prevent fatal car
accidents caused by drowsy driving. The present work proposes a driver drowsiness …

Driving behavior analysis guidelines for intelligent transportation systems

MN Azadani, A Boukerche - IEEE transactions on intelligent …, 2021 - ieeexplore.ieee.org
The advent of in-vehicle networking systems as well as state-of-the-art sensors and
communication technologies have facilitated the collection of large volume and almost real …

Human-machine shared driving: Challenges and future directions

S Ansari, F Naghdy, H Du - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Distraction, misjudgement and driving mistakes can significantly affect a driver, resulting in
an increased risk of accidents. There are diverse factors that can cause mistakes in driving …

[HTML][HTML] Multiple vehicle cooperation and collision avoidance in automated vehicles: Survey and an AI-enabled conceptual framework

AJM Muzahid, SF Kamarulzaman, MA Rahman… - Scientific reports, 2023 - nature.com
Prospective customers are becoming more concerned about safety and comfort as the
automobile industry swings toward automated vehicles (AVs). A comprehensive evaluation …

[HTML][HTML] Internet of things and data mining: An application oriented survey

P Sunhare, RR Chowdhary… - Journal of King Saud …, 2022 - Elsevier
Advancement in the fields of electronic communication, data processing, and internet
technologies enable easy access to and interaction with a variety of physical devices …