Drowsy Driver Detection System For Poor Light Conditions-Reference-Cited by-同舟云学术

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Drowsy Driver Detection System For Poor Light Conditions

Published:2023-03-15 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Mechatronics (ICM)
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Author:

Ibnouf Ahmed¹,Fadlallah Ayman²,Ali Muaiz³,Zidouri Abdelmalek⁴

Affiliation:

1. King Fahd University of Petroleum and Minerals (KFUPM),Control & Instrumentation Engineering Department,Dhahran,Saudi Arabia,31261

2. King Fahd University of Petroleum and Minerals (KFUPM),Information & Computer Science Department,Dhahran,Saudi Arabia,31261

3. King Fahd University of Petroleum and Minerals (KFUPM),Electrical Engineering Department,Dhahran,Saudi Arabia,31261

4. King Fahd University of Petroleum and Minerals (KFUPM),Electrical Engineering Department Interdisciplinary Research Center for Intelligent Secure System,Dhahran,Saudi Arabia,31261

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10101870/10101872/10101972.pdf?arnumber=10101972

Reference30 articles.

1. Chal-lenges and opportunities for machine learning classification of behavior and mental state from images;washington;arXiv preprint arXiv 2201 11197,2022

2. The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms

3. Challenges in detecting drowsiness based on driver’s behavior

4. Drowsy Driver Detection Through Facial Movement Analysis

5. Domain transform for edge-aware image and video processing

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