Drive-Awake: A YOLOv3 Machine Vision Inference Approach of Eyes Closure for Drowsy Driving Detection-Reference-Cited by-同舟云学术

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Drive-Awake: A YOLOv3 Machine Vision Inference Approach of Eyes Closure for Drowsy Driving Detection

Published:2021-09-13 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)
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Author:

Macalisang Jonel R.,Alon Alvin Sarraga,Jardiniano Moises F.,Evangelista Deanne Cameren P.,Castro Julius C.,Tria Meriam L.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9573499/9573533/09573811.pdf?arnumber=9573811

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. 3D-CNN Method for Drowsy Driving Detection Based on Driving Pattern Recognition;Electronics;2024-08-26

2. Integration of Building Information Modeling and Artificial Intelligence Systems to Create a Digital Twin of the Construction Site;2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT);2022-11-10

3. Manta Ray Foraging Optimization with Transfer Learning Driven Facial Emotion Recognition;Sustainability;2022-11-02

4. Driving State Discrimination Algorithm Based on Lightweight Network and Contrast Learning;International Journal of Pattern Recognition and Artificial Intelligence;2022-09-07

5. Computer Vision-Based Signature Forgery Detection System Using Deep Learning: A Supervised Learning Approach;2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT);2022-07-08

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