A Multi-Stage, Multi-Feature Machine Learning Approach to Detect Driver Sleepiness in Naturalistic Road Driving Conditions-Reference-Cited by-同舟云学术

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A Multi-Stage, Multi-Feature Machine Learning Approach to Detect Driver Sleepiness in Naturalistic Road Driving Conditions

Published:2021 Issue: Volume: Page:1-10
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Bakker Bram,Zablocki Bartosz,Baker Angela,Riethmeister Vanessa,Marx Bernd,Iyer Girish,Anund Anna,Ahlstrom Christer

Funder

Shells Road Safety group

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/4358928/09468428.pdf?arnumber=9468428

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3. EEG-Based Driver Fatigue Detection Using Spatio-Temporal Fusion Network With Brain Region Partitioning Strategy;IEEE Transactions on Intelligent Transportation Systems;2024-08

4. Efficient detection of driver fatigue state based on all-weather illumination scenarios;Scientific Reports;2024-07-24

5. The Effect of the Internet of Things, Artificial Intelligent and Tracking on Smart Transportation;Green Industrial Applications of Artificial Intelligence and Internet of Things;2024-07-21

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