Driver Drowsiness Detection Using NasNet Mobile, MobileNetV2, and EfficientNetB0
Author:
Affiliation:
1. School of Computer Science Bina Nusantara University Jakarta,Computer Science Department,Indonesia
2. School of Computer Science Bina Nusantara University Jakarta,Computer Science Department,Indonesia,11480
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10511274/10512358/10512773.pdf?arnumber=10512773
Reference21 articles.
1. Drowsy driving: Asleep at the wheel.;Centers for Disease Control and Prevention. Retrieved from,21
2. Fatigued driving;National Safety Council
3. Countermeasures to Reduce Drowsy Driving: Results of a Literature Review and Discussions with Experts;Madeleine;AAA Foundation for Traffic Safety,Sept. 2022
4. Synchronous System for Driver Drowsiness Detection Using Convolutional Neural Network, Computer Vision and Android Technology
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