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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 …
Decision-making in driver-automation shared control: A review and perspectives
Shared control schemes allow a human driver to work with an automated driving agent in
driver-vehicle systems while retaining the driverʼ s abilities to control. The human driver, as …
driver-vehicle systems while retaining the driverʼ s abilities to control. The human driver, as …
Driver distraction and in-vehicle interventions: A driving simulator study on visual attention and driving performance
Driving simulator studies are popular means to investigate driving behaviour in a controlled
environment and test safety-critical events that would otherwise not be possible in real-world …
environment and test safety-critical events that would otherwise not be possible in real-world …
Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open …
Driver distraction is one of the main causes of fatal traffic accidents. Therefore, the ability to
detect driver inattention is essential in building a safe yet intelligent transportation system …
detect driver inattention is essential in building a safe yet intelligent transportation system …
Detecting human driver inattentive and aggressive driving behavior using deep learning: Recent advances, requirements and open challenges
Human drivers have different driving styles, experiences, and emotions due to unique
driving characteristics, exhibiting their own driving behaviors and habits. Various research …
driving characteristics, exhibiting their own driving behaviors and habits. Various research …
Driver distraction detection based on vehicle dynamics using naturalistic driving data
Distracted driving such as phone use during driving is risky, as it increases the probability of
severe crashes. Detecting distraction using Naturalistic Driving Studies was attempted in …
severe crashes. Detecting distraction using Naturalistic Driving Studies was attempted in …
[HTML][HTML] Survey and synthesis of state of the art in driver monitoring
Road vehicle accidents are mostly due to human errors, and many such accidents could be
avoided by continuously monitoring the driver. Driver monitoring (DM) is a topic of growing …
avoided by continuously monitoring the driver. Driver monitoring (DM) is a topic of growing …
Perceived risk vs actual driving performance during distracted driving: A comparative analysis of phone use and other secondary distractions
The present study attempts to explore the association of drivers' risk perception towards
phone usage as well as other everyday distractions (operating a music player and eating …
phone usage as well as other everyday distractions (operating a music player and eating …
Towards computationally efficient and realtime distracted driver detection with mobilevgg network
According to the World Health Organization (WHO) report, the number of road traffic deaths
have been continuously increasing since last few years though the rate of deaths relative to …
have been continuously increasing since last few years though the rate of deaths relative to …
CAT-CapsNet: A convolutional and attention based capsule network to detect the driver's distraction
Worldwide inflation in the count of road accidents has raised an alarming scenario wherein
driver distraction is identified as one of the main causes. According to the National Highway …
driver distraction is identified as one of the main causes. According to the National Highway …