Review and perspectives on driver digital twin and its enabling technologies for intelligent vehicles

Z Hu, S Lou, Y Xing, X Wang, D Cao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …

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 …

Connected car: technologies, issues, future trends

R Coppola, M Morisio - ACM Computing Surveys (CSUR), 2016 - dl.acm.org
The connected car—a vehicle capable of accessing to the Internet, of communicating with
smart devices as well as other cars and road infrastructures, and of collecting real-time data …

Detection and prediction of driver drowsiness using artificial neural network models

CJ de Naurois, C Bourdin, A Stratulat, E Diaz… - Accident Analysis & …, 2019 - Elsevier
Not just detecting but also predicting impairment of a car driver's operational state is a
challenge. This study aims to determine whether the standard sources of information used to …

The application of machine learning techniques for driving behavior analysis: A conceptual framework and a systematic literature review

ZE Abou Elassad, H Mousannif… - … Applications of Artificial …, 2020 - Elsevier
Driving Behavior (DB) is a complex concept describing how the driver operates the vehicle
in the context of the driving scene and surrounding environment. Recently, DB assessment …

Detecting driving stress in physiological signals based on multimodal feature analysis and kernel classifiers

L Chen, Y Zhao, P Ye, J Zhang, J Zou - Expert Systems with Applications, 2017 - Elsevier
Monitoring driving status has great potential in helping us decline the occurrence probability
of traffic accidents and the aim of this research is to develop a novel system for driving stress …

Smartwatch-based wearable EEG system for driver drowsiness detection

G Li, BL Lee, WY Chung - IEEE Sensors Journal, 2015 - ieeexplore.ieee.org
Driver drowsiness is a major cause of mortality in traffic accidents worldwide. Many
physiological signals have been proposed to detect driver drowsiness. Among these …

Sensor applications and physiological features in drivers' drowsiness detection: A review

A Chowdhury, R Shankaran, M Kavakli… - IEEE sensors …, 2018 - ieeexplore.ieee.org
Drowsiness in drivers has become a serious cause of concern due to the occurrences of a
large number of fatalities on the road each year. Lives of pedestrians and passengers are …

Smart sensor for automatic drip irrigation system for paddy cultivation

SR Barkunan, V Bhanumathi, J Sethuram - Computers & Electrical …, 2019 - Elsevier
Agriculture needs 85% of the available freshwater and its requirement may increase in
future. Hence, a system is needed to utilize water efficiently in agriculture. The modern drip …

A review of HMM-based approaches of driving behaviors recognition and prediction

Q Deng, D Söffker - IEEE Transactions on Intelligent Vehicles, 2021 - ieeexplore.ieee.org
Current research and development in recognizing and predicting driving behaviors plays an
important role in the development of Advanced Driver Assistance Systems (ADAS). For this …