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IECE Transactions on Intelligent Unmanned Systems, 2024, Volume 1, Issue 1: 4-15

Review Article | 07 July 2024
1 University Pendidikan Sultan Idrts, 35900, Malaysia
* Corresponding author: Xiao Yan, email: nancy192@163.com
Received: 19 April 2024, Accepted: 25 June 2024, Published: 07 July 2024  

Abstract
Driver fatigue is a significant contributor to road accidents worldwide. Timely detection and alert systems for driver fatigue can substantially enhance driving safety and reduce traffic-related casualties. This article presents a comprehensive review of the recent advancements in driver fatigue detection technologies. It categorizes and evaluates detection methods based on physiological signals, behavioral characteristics, vehicle dynamics, and information fusion techniques. Additionally, it scrutinizes the prevalent datasets and methodologies employed in fatigue detection, offering valuable insights for future research directions. Our analysis emphasizes the importance of integrating multimodal data to improve detection accuracy and reliability, underlining the potential of information fusion approaches in developing robust fatigue detection systems. This synthesis aims to serve as a foundational reference for researchers venturing into the domain of driver fatigue detection, paving the way for innovative solutions to combat fatigue-induced road accidents.

Graphical Abstract
Advancements and Perspectives in Fatigue Driving Detection: A Comprehensive Review

Keywords
Fatigue driving
Detection method
Information fusion
Dataset

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Cite This Article
APA Style
Yan, X., & Abas, A. (2024). Advancements and Perspectives in Fatigue Driving Detection: A Comprehensive Review. IECE Transactions on Intelligent Unmanned Systems, 1(1), 4–12 https://doi.org/10.62762/TIUS.2024.767724

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