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 …
Driver distraction detection methods: A literature review and framework
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 …
result in fatalities. To reduce road accidents, the development of information systems to …
[HTML][HTML] A review of sensory interactions between autonomous vehicles and drivers
J Lu, Z Peng, S Yang, Y Ma, R Wang, Z Pang… - Journal of Systems …, 2023 - Elsevier
Nowadays, human-oriented has already become the direction of the development of the
intelligent vehicle, among which, the cabin, in constant contact with drivers, is getting more …
intelligent vehicle, among which, the cabin, in constant contact with drivers, is getting more …
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 …
Driver fatigue detection systems using multi-sensors, smartphone, and cloud-based computing platforms: a comparative analysis
Q Abbas, A Alsheddy - Sensors, 2020 - mdpi.com
Internet of things (IoT) cloud-based applications deliver advanced solutions for smart cities
to decrease traffic accidents caused by driver fatigue while driving on the road …
to decrease traffic accidents caused by driver fatigue while driving on the road …
Decentralized cooperative crossing at unsignalized intersections via vehicle-to-vehicle communication in mixed traffic flows
Abstract Connected Autonomous Vehicles (CAVs) are going to share the road environment
with human drivers until their full market deployment achievement. In this context, this paper …
with human drivers until their full market deployment achievement. In this context, this paper …
The challenges of driving mode switching in automated vehicles: A review
L Hu, H Cai, J Huang, D Cao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The conversion between automated and manual driving is currently an inevitable topic for
automated vehicles. Firstly, from the concepts, types, and key issues of driving mode …
automated vehicles. Firstly, from the concepts, types, and key issues of driving mode …
Multimodal corpus design for audio-visual speech recognition in vehicle cabin
This paper introduces a new methodology aimed at comfort for the driver in-the-wild
multimodal corpus creation for audio-visual speech recognition in driver monitoring systems …
multimodal corpus creation for audio-visual speech recognition in driver monitoring systems …