A Novel Driver Fatigue and Distraction Detection Method Based on Improved Swin Transformer
Author:
Affiliation:
1. Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10552442/10552389/10552612.pdf?arnumber=10552612
Reference24 articles.
1. Driving distraction at night: The impact of cell phone use on driving behaviors among young drivers
2. Driver distraction detection based on vehicle dynamics using naturalistic driving data
3. Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions
4. Intelligent driver monitoring system: An Internet of Things-based system for tracking and identifying the driving behavior
5. Online Detection of Driver Fatigue Using Steering Wheel Angles for Real Driving Conditions
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