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- Real-Time Driver's Focus of Attention Extraction and Prediction Using
- Eye Tracking Using Artificial Neural Networks for Human Computer Interaction
- Deep-Learning-Based Pupil Center Detection and Tracking Technology for Visible-Light Wearable Gaze Tracking Devices
- Internet of Attention-Aware Things
- Miniature Planar Telescopes for Efficient, Wide-Angle, High-Precision
- Pedestrian Safety with Eye Contact Between Autonomous Car And
- Camera-Based Sleepiness Detection Final Report of the Project Sleepeye
- A Human-Machine Interface Based on Eye Tracking for Controlling and Monitoring a Smart Home Using the Internet of Things
- Driving an Autonomous Car with Eye Tracking
- Eye Tracking for the Iphone Using Deep Learning by Harini D. Kannan
- Familiarity with Level 2 Driving Automation and Situational Awareness of On-Road Events
- Report on the Middleware Architecture and Technical Requirements
- PREDICTION and VOCABULARY DEVELOPMENT 1 the Relation
- Behavioral Research and Practical Models of Drivers' Attention
- Eye Tracking: the Next Natural Step for VR
- Eye Movement Analysis for Activity Recognition in Everyday Situations
- Human–Machine Interface in Transport Systems: an Industrial Overview for More Extended Rail Applications
- Eye Gaze Controlled Projected Display in Automotive and Military Aviation Environments
- The Ethics of Eye Tracking in Virtual Reality
- Active Vision” Computational Model
- A Neurophysiologic Study of Visual Fatigue in Stereoscopic Related Displays
- (Title of the Thesis)*
- Training Object Class Detectors from Eye Tracking Data
- Competing Notions of Autonomous Vehicle Safety
- Driving, Eye-Tracking and Visual Entropy: Exploration of Age and Task Effects
- How to Maximize the Road Safety Benefits of ADAS?
- El Coche Inteligente En Busca De Mayor Seguridad, Sostenibilidad Y Confort
- Predicting the Driver's Focus of Attention: the DR(Eye)VE Project
- Implementing a Gaze Tracking Algorithm for Improving Advanced Driver Assistance Systems
- WCP Vision Newsletter
- Predictive Language Processing in Late Bilinguals: Evidence from Visual-World Eye-Tracking
- Application Experiences Using Iot Devices in Education
- Audi at CES Las Vegas 2020
- WASP Foresight 2018
- Cognitive Load Detection for Advanced Driver Assistance Systems
- Self-Driving Vehicles and Driver Assistance Features; Who Caused the Accident?
- Smart Eye (SEYE.ST)
- Hybrid Eye-Tracking on a Smartphone with CNN Feature Extraction and an Infrared 3D Model
- Eye Tracking for VR and AR Organizers
- Remote Eye-Tracking for Cognitive Telerehabilitation and Interactive School Tasks in Times of COVID-19
- Human–Robot Interaction Through Eye Tracking for Artistic Drawing
- Convolutional Neural Networks Can Decode Eye Movement Data: a Black Box Approach To
- Vision for Driver Assistance: Looking at People in a Vehicle
- A Review of the Low-Cost Eye-Tracking Systems for 2010-2020
- Gaze Behaviour As a Measure of Trust in Automated Vehicles
- ADAS (Advanced Driver Assistance Systems) – Attraction Or Distraction? Do You Know What They All Are and What They Do to Help?
- Automated Driving Reduces Perceived Workload, but Monitoring Causes Higher Cognitive Load Than Manual Driving
- Training Object Class Detectors from Eye Tracking Data
- Reference FP04 Project Title Human Factors Related to Remote Control Of
- Driving Innovation: the Future of Automotive Mobility, Safety, and Technology”
- A Human–Machine Interface Based on Eye Tracking for Controlling and Monitoring a Smart Home Using the Internet of Things
- The Potential for Autonomous Vehicle Technologies to Address Barriers to Driving for Individuals with Autism
- To Trust Or Not to Trust? Assessment and Calibration of Francesco Walker to Trust Or Not to Trust? Driver Trust in Automated Vehicles
- Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstruction
- Energy Gaps in High‐Transition Temperature Cuprate Superconductors
- Iot Smart Home Using Eye Tracking and Voice Interfaces for Elderly and Special Needs People
- Low Bandwidth Eye Tracker for Scanning Laser Ophthalmoscopy Zachary Harvey
- Investigating the Relationships Between Gaze Patterns, Dynamic Vehicle Surround Analysis, and Driver Intentions
- Dec 31St, 2020 Safer's 15Th Operational Year