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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 …
A survey on driver behavior analysis from in-vehicle cameras
Distracted or drowsy driving is unsafe driving behavior responsible for thousands of crashes
every year. Studying driver behavior has challenges associated with observing drivers in …
every year. Studying driver behavior has challenges associated with observing drivers in …
A survey on vision-based driver distraction analysis
Motor vehicle crashes are great threats to our life, which may result in numerous fatalities, as
well as tremendous economic and societal costs. Driver inattention, either distraction or …
well as tremendous economic and societal costs. Driver inattention, either distraction or …
Dynamics of driver's gaze: Explorations in behavior modeling and maneuver prediction
The study and modeling of driver's gaze dynamics are important because, if and how the
driver is monitoring the driving environment is vital for driver assistance in manual mode, for …
driver is monitoring the driving environment is vital for driver assistance in manual mode, for …
Face-from-depth for head pose estimation on depth images
Depth cameras allow to set up reliable solutions for people monitoring and behavior
understanding, especially when unstable or poor illumination conditions make unusable …
understanding, especially when unstable or poor illumination conditions make unusable …
Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving
Excessive alcohol consumption causes disability and death. Digital interventions are
promising means to promote behavioral change and thus prevent alcohol-related harm …
promising means to promote behavioral change and thus prevent alcohol-related harm …
Application of naturalistic driving data: A systematic review and bibliometric analysis
MR Alam, D Batabyal, K Yang, T Brijs… - Accident Analysis & …, 2023 - Elsevier
The application of naturalistic driving data (NDD) has the potential to answer critical
research questions in the area of driving behavior assessment, as well as the impact of …
research questions in the area of driving behavior assessment, as well as the impact of …
Computer vision‐based recognition of driver distraction: A review
Vehicle crash rates caused by distracted driving have been rising in recent years. Hence,
safety while driving on roads is today a crucial concern across the world. Some of the …
safety while driving on roads is today a crucial concern across the world. Some of the …
Looking at faces in a vehicle: A deep CNN based approach and evaluation
The driver's face is key to a less intrusive method to monitoring the driver to derive
information such as distraction, drowsiness, intent, and where they are looking. A vital step …
information such as distraction, drowsiness, intent, and where they are looking. A vital step …
On driver gaze estimation: Explorations and fusion of geometric and data driven approaches
Gaze direction is important in a number of applications such as active safety and driver's
activity monitoring. However, there are challenges in estimating gaze robustly in real world …
activity monitoring. However, there are challenges in estimating gaze robustly in real world …