Fatigue at the wheel: A non-visual approach to truck driver fatigue detection by multi-feature fusion

CONCLUSIONS: Our study is among the first to harness the natural driving dataset to delve into the real-life fatigue pattern of long-haul truck drivers without disruptions on routine driving tasks. The proposed method holds pragmatic prospects by providing a privacy-preserving, robust, real-time, and non-intrusive technical pathway for truck driver fatigue monitoring.PMID:38387154 | DOI:10.1016/j.aap.2024.107511
Source: Accident; Analysis and Prevention. - Category: Accident Prevention Authors: Source Type: research