Advancements and Perspectives in Fatigue Driving Detection: A Comprehensive Review

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.