The Application of Augmented Reality in the Automotive Industry: A Systematic Literature Review
A Dual-Cameras-Based Driver Gaze Mapping System With an Application on Non-Driving Activities Monitoring
Maintaining Lane Position with Peripheral Vision during In-Vehicle Tasks
Personalized Driver/Vehicle Lane Change Models for ADAS
Personal Navi
Driver Gaze Region Estimation without Use of Eye Movement
Model predictive driver model considering the steering characteristics of the skilled drivers
Real-time categorization of driver’s gaze zone and head pose -using the convolutional neural network
Future path and tangent point models in the visual control of locomotion in curve driving
The Effects of Head-Up Display Clutter and In-Vehicle Display Separation on Concurrent Driving Performance
Effects of an active visuomotor steering task on covert attention
Analyzing Headlight Flicker Patterns for Improving the Pedestrian Detectability from a Driver
Allocation of visual attention while driving with simulated augmented reality
How Do Drivers Allocate Their Potential Attention? Driving Fixation Prediction via Convolutional Neural Networks
Driver Gaze Zone Estimation Using Convolutional Neural Networks: A General Framework and Ablative Analysis
Augmented reality vs. street views
Head-Up vs. Head-Down Displays
Look at Me
Influence of optic flow on the control of heading and target egocentric direction during steering toward a goal
Driver Gaze Estimation in the Real World: Overcoming the Eyeglass Challenge
Adaptive driver modelling in ADAS to improve user acceptance: A study using naturalistic data
Comparison of head-up display (HUD) vs. head-down display (HDD): driving performance of commercial vehicle operators in Taiwan
More than the Useful Field: Considering peripheral vision in driving
Drivers’ Gaze Behaviors are Influenced by Vehicle Position
Directing driver attention with augmented reality cues
Eye Gaze Studies Comparing Head-Up and Head-Down Displays in Vehicles
A computational framework for driver's visual attention using a fully convolutional architecture
Survey of on–road image projection with pixel light systems
Predicting the driver’s focus of attention: The DR(eye)VE project