Driver Visual Attention Estimation Using Head Pose and Eye Appearance Information
Author:
Affiliation:
1. Electrical and Computer Engineering Department, The University of Texas at Dallas, Richardson, TX, USA
Funder
RC/Texas Analog Center of Excellence
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/8784355/9999144/10073949.pdf?arnumber=10073949
Reference67 articles.
1. Alerting the drivers about road signs with poor visual saliency
2. Estimation of Gaze Region Using Two Dimensional Probabilistic Maps Constructed Using Convolutional Neural Networks
3. Glance analysis of driver eye movements to evaluate distraction
4. Detecting Drivers' Mirror-Checking Actions and Its Application to Maneuver and Secondary Task Recognition
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2. A review of driver gaze estimation and application in gaze behavior understanding;Engineering Applications of Artificial Intelligence;2024-07
3. ViT-DD: Multi-Task Vision Transformer for Semi-Supervised Driver Distraction Detection;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
4. Driver Head Pose Estimation with Multimodal Temporal Fusion of Color and Depth Modeling Networks;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
5. Enhancing Road Safety: A Driver Fatigue Detection and Behaviour Monitoring System using Advanced Computer Vision Techniques;Journal of Ubiquitous Computing and Communication Technologies;2024-06
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