Topic: drowsiness
18 paper(s)
- Influence of Seasonal and Chronobiological Factors on Driver Behavior and Traffic Accident Risk: A Scoping Review · 2026 · Assis, Eber Pinheiro et al. · archived
- Low-Latency Embedded Driver Monitoring System with a Multi-Task Neural Network · 2026 · Scribano,Carmelo et al. · indexed
- Driver Monitoring System Using Computer Vision for Real-Time Detection of Fatigue, Distraction and Emotion via Facial Landmarks and Deep Learning. · 2026 · Zambrano, Tamia et al. · archived
- Optimized driver fatigue detection method using multimodal neural networks · 2025 · Cao, Shengli et al. · archived
- Detection and Predictive Analysis of Drowsiness Using Non-contact Doppler Sensor · 2025 · Chung Kyo In et al. · archived
- Drowsiness Detection in Drivers: A Systematic Review of Deep Learning-Based Models · 2025 · Fonseca, Tiago et al. · archived
- Detecting Driver Fatigue With Eye Blink Behavior · 2024 · Ali Akin et al. · archived
- Improving automatic detection of driver fatigue and distraction using machine learning · 2024 · Wu, Dongjiang · archived
- Enhancing Mental Fatigue Detection through Physiological Signals and Machine Learning Using Contextual Insights and Efficient Modelling · 2023 · Cos, Carole-Anne et al. · indexed
- Artificial intelligence modelling human mental fatigue: A comprehensive survey · 2023 · Lambert, Alexandre et al. · indexed
- Détection de la fatigue au volant · 2023 · Lambert, Alexandre et al. · indexed
- Détection du degré de fatigue cognitive d'un visage par un évaluateur humain (étude CLAVIF) · 2023 · Lambert, Alexandre et al. · indexed
- Modelling and Detection of Driver's Fatigue using Ontology · 2022 · Alexandre Lambert et al. · archived
- Predicting Driver Fatigue in Automated Driving with Explainability · 2021 · Zhou, Feng et al. · archived
- Driver Safety Development Real Time Driver Drowsiness Detection System Based on Convolutional Neural Network · 2020 · Maryam Hashemi et al. · archived
- An Improved Fatigue Detection System Based on Behavioral Characteristics of Driver · 2017 · Rajat Gupta et al. · archived
- SUBJECTIVE AND INDIRECT METHODS TO OBSERVE DRIVER’S DROWSINESS AND ALERTNESS: AN OVERVIEW · 2016 · NOR KAMALIANA K. et al. · archived
- Maximizing Sensitivity of the Psychomotor Vigilance Test (PVT) to Sleep Loss · 2011 · Basner, Mathias et al. · indexed