Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Driver fatigue transition prediction in highly automated driving using physiological features

16 references·13 citing·39 second hop

FromToDepth

this work references cited by second hop

References

2001A critical review of the psychophysiology of driver fatigue1,008 cited
2012Detecting Driver Drowsiness Based on Sensors: A Review783 cited
2011Driver Inattention Monitoring System for Intelligent Vehicles: A Review728 cited
2017Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control691 cited
2014Transition to manual: Driver behaviour when resuming control from a highly automated vehicle642 cited
2002Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance561 cited
2009Driver fatigue: The importance of identifying causal factors of fatigue when considering detection and countermeasure technologies464 cited
2015Vigilance Decrement and Passive Fatigue Caused by Monotony in Automated Driving247 cited
2013Automated Detection of Driver Fatigue Based on Entropy and Complexity Measures215 cited
2018Asleep at the automated wheel—Sleepiness and fatigue during highly automated driving215 cited
2012Driver Alertness Monitoring Using Fusion of Facial Features and Bio-Signals195 cited
2018Take-Over Time in Highly Automated Vehicles189 cited
2016Recent Trends in Driver Safety Monitoring Systems: State of the Art and Challenges168 cited
1999Identification of driver state for lane-keeping tasks164 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

2008Fatigued and drowsy driving: A survey of attitudes, opinions and behaviors163 cited

2009Steering Wheel Behavior Based Estimation of Fatigue142 cited

Cited by

2021Combat COVID-19 infodemic using explainable natural language processing models159 cited
2020Psychophysiological responses to takeover requests in conditionally automated driving108 cited
2022Human-Machine Shared Driving: Challenges and Future Directions102 cited
2023Real-Time Trust Prediction in Conditionally Automated Driving Using Physiological Measures82 cited
2022Predicting Driver Takeover Time in Conditionally Automated Driving75 cited
2022Investigating explanations in conditional and highly automated driving: The effects of situation awareness and modality66 cited
2024EEG-based assessment of driver trust in automated vehicles56 cited
2021Effects of Level 3 Automated Vehicle Drivers’ Fatigue on Their Take-Over Behaviour: A Literature Review48 cited
2023Structural analysis of driver fatigue behavior: A systematic review42 cited
2020Assess deep learning models for Egyptian exchange prediction using nonlinear artificial neural networks41 cited
2023EEG and ECG-Based Multi-Sensor Fusion Computing for Real-Time Fatigue Driving Recognition Based on Feedback Mechanism40 cited
2022A smart analysis of driver fatigue and drowsiness detection using convolutional neural networks38 cited
2021Hypo-Driver: A Multiview Driver Fatigue and Distraction Level Detection System37 cited