Enhancing Road Safety: Real-Time Distracted Driver Detection Using Nvidia Jetson Nano and YOLOv8-Reference-Cited by-同舟云学术

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Enhancing Road Safety: Real-Time Distracted Driver Detection Using Nvidia Jetson Nano and YOLOv8

Published:2024-05-22 Issue: Volume:4 Page:194-198
ISSN:
Container-title:2024 Zooming Innovation in Consumer Technologies Conference (ZINC)
language:
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Author:

Neamah Osamah N.¹,Almohamad Tarik Adnan²,Bayir Raif³

Affiliation:

1. Graduate Institute Karabuk University,Department of Mechatronics Engineering,Karabuk,Turkey

2. Karabuk University,Department of Electrical-Electronics Engineering,Karabuk,Turkey

3. Karabuk University,Department of Mechatronics Engineering,Karabuk,Turkey

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10579100/10579107/10579437.pdf?arnumber=10579437

Reference20 articles.

1. Using naturalistic driving data to assess the prevalence of environmental factors and driver behaviors in teen driver crashes;Carney,2015

2. HybridFatigue: A Real-time Driver Drowsiness Detection using Hybrid Features and Transfer Learning

3. Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions

4. Revolutionizing Fault Prediction in MetroPT Datasets: Enhanced Diagnosis and Efficient Failure Prediction through Innovative Data Refinement

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