A systematic review on driver drowsiness detection using eye activity measures
A Kolus - IEEE Access, 2024 - ieeexplore.ieee.org
Driver drowsiness is a major contributor to road traffic accidents. A system capable of
detecting drowsiness and consequently warning drivers at an early stage could significantly …
detecting drowsiness and consequently warning drivers at an early stage could significantly …
Exploring the occupational fatigue risk of short-haul truck drivers: effects of sleep pattern, driving task, and time-on-task on driving behavior and eye-motion metrics
Driver fatigue is the leading cause of truck-related accidents. The most significant
occupational fatigue factors among short-haul truck drivers are sleep patterns, the round-trip …
occupational fatigue factors among short-haul truck drivers are sleep patterns, the round-trip …
[HTML][HTML] Heart rate variability as an indicator of fatigue: A structural equation model approach
Driver fatigue significantly impairs performance and is a major risk factor for road crashes.
However, fatigue is difficult to objectively measure and quantify. This study aimed to …
However, fatigue is difficult to objectively measure and quantify. This study aimed to …
[PDF][PDF] Time for sleep science to wake up to drowsy driver monitoring
Driver monitoring systems (DMS) that can detect drowsiness and distraction in real-time are
now included in the European new car assessment program and are already widely used in …
now included in the European new car assessment program and are already widely used in …
Modeling method of expressway traffic accident characteristics in foggy weather based on multi-source data fusion.
XJ Deng - Advances in transportation studies, 2023 - search.ebscohost.com
The traditional traffic accident feature modeling methods cannot eliminate the influence of
feature dimensionality in the feature extraction process, resulting in low prediction accuracy …
feature dimensionality in the feature extraction process, resulting in low prediction accuracy …