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 …

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 …

An ensemble deep learning approach for driver lane change intention inference

Y Xing, C Lv, H Wang, D Cao, E Velenis - Transportation Research Part C …, 2020 - Elsevier
With the rapid development of intelligent vehicles, drivers are increasingly likely to share
their control authorities with the intelligent control unit. For building an efficient Advanced …

Driver lane change intention inference for intelligent vehicles: Framework, survey, and challenges

Y Xing, C Lv, H Wang, H Wang, Y Ai… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Intelligent vehicles and advanced driver assistance systems (ADAS) need to have proper
awareness of the traffic context, as well as the driver status since ADAS share the vehicle …

[HTML][HTML] Defending Yarbus: Eye movements reveal observers' task

A Borji, L Itti - Journal of vision, 2014 - jov.arvojournals.org
In a very influential yet anecdotal illustration, Yarbus suggested that human eye-movement
patterns are modulated top down by different task demands. While the hypothesis that it is …

Multi-parameter prediction of drivers' lane-changing behaviour with neural network model

J Peng, Y Guo, R Fu, W Yuan, C Wang - Applied ergonomics, 2015 - Elsevier
Accurate prediction of driving behaviour is essential for an active safety system to ensure
driver safety. A model for predicting lane-changing behaviour is developed from the results …

Ehtask: Recognizing user tasks from eye and head movements in immersive virtual reality

Z Hu, A Bulling, S Li, G Wang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Understanding human visual attention in immersive virtual reality (VR) is crucial for many
important applications, including gaze prediction, gaze guidance, and gaze-contingent …

Driver lane change intention recognition in the connected environment

Y Guo, H Zhang, C Wang, Q Sun, W Li - Physica A: Statistical Mechanics …, 2021 - Elsevier
The connected environment provides information on surrounding traffic and areas beyond
the visual range to improve driving behavior and avoid dangerous incidents. However, due …

A tutorial on internet of behaviors: Concept, architecture, technology, applications, and challenges

Q Zhao, G Li, J Cai, MC Zhou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
In his blogs of 2012, Dr. Göte Nyman coined Internet of Behaviors (IoB). In his idea, people's
behaviors are very good predictors of their needs, and hence technology companies can …

Estimating driver's lane-change intent considering driving style and contextual traffic

X Li, W Wang, M Roetting - IEEE Transactions on Intelligent …, 2018 - ieeexplore.ieee.org
Estimating a driver's lane-change (LC) intent is very important so as to avoid traffic accidents
caused by improper LC maneuvers. This paper proposes a lane-change Bayesian network …