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Asleep at the automated wheel—Sleepiness and fatigue during highly automated driving
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4684-2529-1_26openalex-snapshot
A Taxonomic Analysis of Vigilance Performance
inferredcites →https://doi.org/10.1007/978-1-4684-2529-1_3openalex-snapshot
Performance Decrement During Prolonged Night Driving
inferredcites →https://doi.org/10.1007/978-1-4684-2529-1_32openalex-snapshot
Experiments on the Validity of Vigilance Experiments
inferredcites →https://doi.org/10.1007/978-1-4684-2529-1_6openalex-snapshot
Comparison of Performance and Physiological Changes Between Drivers who Perform Well and Poorly During Prolonged Vehicular Operation
inferredcites →https://doi.org/10.1007/978-3-662-53305-5_22openalex-snapshot
How the Duration of Automated Driving Influences Take-Over Performance and Gaze Behavior
inferredcites →https://doi.org/10.1016/0001-4575(94)90019-1openalex-snapshot
Evaluation of driver drowsiness by trained raters
inferredcites →https://doi.org/10.1016/b978-008044379-9/50192-8openalex-snapshot
Driving without Awareness
inferredcites →https://doi.org/10.1016/j.aap.2004.07.007openalex-snapshot
Fatigue, sleep restriction and driving performance
inferredcites →https://doi.org/10.1016/j.aap.2007.09.026openalex-snapshot
Alertness maintaining tasks (AMTs) while driving
inferredcites →https://doi.org/10.1016/j.aap.2010.12.023openalex-snapshot
The influence of Cruise Control and Adaptive Cruise Control on driving behaviour – A driving simulator study
inferredcites →https://doi.org/10.1016/j.ergon.2006.01.008openalex-snapshot
Situation awareness implications of adaptive automation for information processing in an air traffic control-related task
inferredcites →https://doi.org/10.1016/j.jsr.2007.12.007openalex-snapshot
Fatigued and drowsy driving: A survey of attitudes, opinions and behaviors
inferredcites →https://doi.org/10.1016/j.jsr.2017.02.016openalex-snapshot
The relationship between cell phone use and management of driver fatigue: It's complicated
inferredcites →https://doi.org/10.1016/j.physbeh.2005.02.021openalex-snapshot
Effect of driving duration and partial sleep deprivation on subsequent alertness and performance of car drivers
inferredcites →https://doi.org/10.1016/j.promfg.2015.07.499openalex-snapshot
Vigilance Decrement and Passive Fatigue Caused by Monotony in Automated Driving
inferredcites →https://doi.org/10.1016/j.promfg.2015.07.788openalex-snapshot
Take-Over Requests for Automated Driving
inferredcites →https://doi.org/10.1016/j.promfg.2015.11.005openalex-snapshot
The Interaction Between Highly Automated Driving and the Development of Drowsiness
inferredcites →https://doi.org/10.1016/j.trc.2013.02.008openalex-snapshot
Behavioural changes in drivers experiencing highly-automated vehicle control in varying traffic conditions
inferredcites →https://doi.org/10.1016/j.trf.2008.11.005openalex-snapshot
Driver fatigue: The importance of identifying causal factors of fatigue when considering detection and countermeasure technologies
inferredcites →https://doi.org/10.1016/j.trf.2014.04.005openalex-snapshot
Semi-automated versus highly automated driving in critical situations caused by automation failures
inferredcites →https://doi.org/10.1016/j.trf.2014.09.005openalex-snapshot
Transition to manual: Driver behaviour when resuming control from a highly automated vehicle
inferredcites →https://doi.org/10.1016/j.trf.2018.03.019openalex-snapshot
Transitioning to manual driving requires additional time after automation deactivation
inferredcites →https://doi.org/10.1016/s0001-4575(00)00013-0openalex-snapshot
The role of driver sleepiness in car crashes: a systematic review of epidemiological studies
inferredcites →https://doi.org/10.1016/s0001-4575(02)00007-6openalex-snapshot
Driver risk factors for sleep-related crashes
inferredcites →https://doi.org/10.1016/s0001-4575(96)00044-9openalex-snapshot
The impact of work practices on fatigue in long distance truck drivers
inferredcites →https://doi.org/10.1016/s0301-0511(00)00085-5openalex-snapshot
A critical review of the psychophysiology of driver fatigue
inferredcites →https://doi.org/10.1016/s1369-8478(01)00017-1openalex-snapshot
Maintaining task set under fatigue: a study of time-on-task effects in simulated driving
inferredcites →https://doi.org/10.1016/s1369-8478(02)00011-6openalex-snapshot
The time course of a lane change: Driver control and eye-movement behavior
inferredcites →https://doi.org/10.1037/e526702009-001openalex-snapshot
Vehicle-based drowsy driver detection: Current status and future prospects
inferredcites →https://doi.org/10.1037/e624282011-001openalex-snapshot
The 100-Car Naturalistic Driving Study: Phase II - Results of the 100-Car Field Experiment
inferredcites →https://doi.org/10.1109/itsc.2016.7795658openalex-snapshot
Drowsiness in Conditional Automation: Proneness, diagnosis and driving performance effects
inferredcites →https://doi.org/10.1111/j.1365-2869.1995.tb00220.xopenalex-snapshot
An overview of sleepiness and accidents
inferredcites →https://doi.org/10.1111/j.1365-2869.2004.00437.xopenalex-snapshot
Impaired alertness and performance driving home from the night shift: a driving simulator study
inferredcites →https://doi.org/10.1136/ip.7.3.194openalex-snapshot
Drowsiness, counter-measures to drowsiness, and the risk of a motor vehicle crash
inferredcites →https://doi.org/10.1136/oem.57.10.649openalex-snapshot
Moderate sleep deprivation produces impairments in cognitive and motor performance equivalent to legally prescribed levels of alcohol intoxication
inferredcites →https://doi.org/10.1145/2516540openalex-snapshot
Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
inferredcites →https://doi.org/10.1145/2516540.2516554openalex-snapshot
Presenting system uncertainty in automotive UIs for supporting trust calibration in autonomous driving
inferredcites →https://doi.org/10.1155/asp.2005.3165openalex-snapshot
Estimating Driving Performance Based on EEG Spectrum Analysis
inferredcites →https://doi.org/10.1177/0018720811423261openalex-snapshot
Fatigue and Voluntary Utilization of Automation in Simulated Driving
inferredcites →https://doi.org/10.1177/0018720812442087openalex-snapshot
Highly Automated Driving, Secondary Task Performance, and Driver State
inferredcites →https://doi.org/10.1177/0018720816634226openalex-snapshot
Taking Over Control From Highly Automated Vehicles in Complex Traffic Situations
inferredcites →https://doi.org/10.1177/1541931213571167openalex-snapshot
A Computational Model of Task Overload Management and Task Switching
inferredcites →https://doi.org/10.1177/1541931213571433openalex-snapshot
“Take over!” How long does it take to get the driver back into the loop?
inferredcites →https://doi.org/10.1177/1541931214581351openalex-snapshot
Designing take over scenarios for automated driving
inferredcites →https://doi.org/10.1177/1541931214581434openalex-snapshot
How Traffic Situations and Non-Driving Related Tasks Affect the Take-Over Quality in Highly Automated Driving
inferredcites →https://doi.org/10.1177/1541931215591362openalex-snapshot
Distraction Becomes Engagement in Automated Driving
inferredcites →https://doi.org/10.1201/9781003064107-21openalex-snapshot
Monitoring Driver Fatigue Via Driving Performance
inferredcites →https://doi.org/10.1207/s15327108ijap0902_3openalex-snapshot
Modes in Human-Machine Systems: Constructs, Representation, and Classification
inferredcites →https://doi.org/10.1515/itit-2015-0004openalex-snapshot
Conditions for a safe state of automated road vehicles
inferredcites →https://doi.org/10.1518/001872095779064555openalex-snapshot
The Out-of-the-Loop Performance Problem and Level of Control in Automation
inferredcites →https://doi.org/10.1518/001872099779577336openalex-snapshot
Impairment of Driving Performance Caused by Sleep Deprivation or Alcohol: A Comparative Study
inferredcites →https://doi.org/10.3109/00207459008994241openalex-snapshot
Subjective and Objective Sleepiness in the Active Individual
inferredcites →https://doi.org/10.4271/j3016_201401openalex-snapshot
Taxonomy and Definitions for Terms Related to On-Road Motor Vehicle Automated Driving Systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Disturbance Analysis and Safety Monitoring of Driver's Emotion Swings in Human-Machine Co-Driving Environment: A Digital Twin Approach
inferred← citeshttps://doi.org/10.2139/ssrn.4772723openalex-extracted
Dynamic Nonlinear Relationship between Driver Workload and Fatigue in Long-Duration Monitoring Tasks
inferred← citeshttps://doi.org/10.2139/ssrn.4789647openalex-extracted
The Intricacies of Trust and Safety in Semi-Autonomous Vehicles: A Conceptual Model for Research and Development
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Is the Eye Movement Pattern the Same? The Difference Between Automated Driving and Manual Driving
inferred← citeshttps://doi.org/10.1007/978-3-030-22666-4_10openalex-snapshot
Attentional Dynamics After Take-Over Requests: The Need for Handover Assistance Systems in Highly Automated Vehicles
inferred← citeshttps://doi.org/10.1007/978-3-030-50943-9_22openalex-snapshot
Automated Driving on the Motorway: A Users’ Perspective on Conditional Versus High Automation
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Attentive User Interfaces: Adaptive Interfaces that Monitor and Manage Driver Attention
inferred← citeshttps://doi.org/10.1007/978-3-031-06086-1_9openalex-snapshot
Effects of a Robot Human-Machine Interface on Emergency Steering Control and Prefrontal Cortex Activation in Automatic Driving
inferred← citeshttps://doi.org/10.1007/978-3-031-29078-7_22openalex-snapshot
AI-Based Video Analysis for Driver Fatigue Detection: A Literature Review on Underlying Datasets, Labelling, and Alertness Level Classification
inferred← citeshttps://doi.org/10.1007/978-3-031-93700-2_20openalex-snapshot
Elderly and Young Drivers’ Perceptions, Beliefs, and Preferences of Advanced Driver Assistance Systems (ADAS)
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Automated Driving: The Potential of Non-driving-Related Tasks to Manage Driver Drowsiness
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Fahrerassistenzsysteme und Automatisiertes Fahren
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Fahrerzustandsbeobachtung beim automatisierten Fahren
inferred← citeshttps://doi.org/10.1007/978-3-658-45276-6_51openalex-snapshot
Driver State Monitoring in Automated Driving
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Interventionsmöglichkeiten zur Vermeidung müdigkeitsbedingter Unfälle
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Magnetic Sense, AI, and the Future of Mobility
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A Review of Motor Vehicle Driver Fatigue Research—Based on L3 Automatic Driving System
inferred← citeshttps://doi.org/10.1007/978-981-95-0289-9_19openalex-snapshot
The Influence of Advanced Driver Assistance Systems on Fatigue Development Among Long-Haul Truck Drivers
inferred← citeshttps://doi.org/10.1007/978-981-96-3957-1_40openalex-snapshot
Analysis of the Impact of Non-driving-Related Tasks on Fatigue in Novice Conditionally Automated Driving Drivers
inferred← citeshttps://doi.org/10.1007/s10111-019-00613-zopenalex-snapshot
Task-induced fatigue when implementing high grades of railway automation
inferred← citeshttps://doi.org/10.1007/s41449-024-00451-4openalex-snapshot
Contributing factors of fatigue on seagoing vessels
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Understanding take-over performance of high crash risk drivers during conditionally automated driving
inferred← citeshttps://doi.org/10.1016/j.aap.2020.105568openalex-snapshot
Fifty Years of Accident Analysis & Prevention: A Bibliometric and Scientometric Overview
inferred← citeshttps://doi.org/10.1016/j.aap.2020.105617openalex-snapshot
Sleep in highly automated driving: Takeover performance after waking up
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Estimating the out-of-the-loop phenomenon from visual strategies during highly automated driving
inferred← citeshttps://doi.org/10.1016/j.aap.2020.105918openalex-snapshot
Sleep inertia in automated driving: Post-sleep take-over and driving performance
inferred← citeshttps://doi.org/10.1016/j.aap.2021.106006openalex-snapshot
Integration of automated vehicles in mixed traffic: Evaluating changes in performance of following human-driven vehicles
inferred← citeshttps://doi.org/10.1016/j.aap.2021.106058openalex-snapshot
Effects of partially automated driving on the development of driver sleepiness
inferred← citeshttps://doi.org/10.1016/j.aap.2021.106093openalex-snapshot
Applications of brain imaging methods in driving behaviour research
inferred← citeshttps://doi.org/10.1016/j.aap.2021.106536openalex-snapshot
How drowsiness and distraction can interfere with take-over performance: A systematic and meta-analysis review
inferred← citeshttps://doi.org/10.1016/j.aap.2022.106830openalex-snapshot
Detecting driver fatigue using heart rate variability: A systematic review
inferred← citeshttps://doi.org/10.1016/j.aap.2023.107068openalex-snapshot
Supervising the self-driving car: Situation awareness and fatigue during highly automated driving
inferred← citeshttps://doi.org/10.1016/j.aap.2023.107243openalex-snapshot
Assessing the physiological effect of non-driving-related task performance and task modality in conditionally automated driving systems: A systematic review and meta-analysis
inferred← citeshttps://doi.org/10.1016/j.aap.2024.107803openalex-snapshot
Identifying novice drivers in need of hazard perception ability improvement for takeover performance in Level 3 automated driving
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Strategic naps in automated driving − Sleep architecture predicts sleep inertia better than nap duration
inferred← citeshttps://doi.org/10.1016/j.aap.2025.108023openalex-snapshot
Exploring the effect of driver drowsiness on takeover performance during automated driving: An updated literature review
inferred← citeshttps://doi.org/10.1016/j.aap.2026.108664openalex-snapshot
Investigation of driving safety in partial driving automation considering driving modes and drivers’ pre-drive states
inferred← citeshttps://doi.org/10.1016/j.apergo.2025.104644openalex-snapshot
Video entertainment to mitigate safety risks during prolonged automated driving: Impacts on cognitive load, fatigue, and takeover performance
inferred← citeshttps://doi.org/10.1016/j.bspc.2022.104237openalex-snapshot
Recognising drivers’ mental fatigue based on EEG multi-dimensional feature selection and fusion
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106604openalex-snapshot
Driver vigilance detection based on deep learning with fused thermal image information for public transportation
inferred← citeshttps://doi.org/10.1016/j.ergon.2023.103429openalex-snapshot
Keeping in the lane! Investigating drivers’ performance handling silent vs. alerted lateral control failures in monotonous partially automated driving
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A novel driver monitoring and feedback system improves takeover performance in conditional automated driving
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Driver fatigue transition prediction in highly automated driving using physiological features
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Getting back in the loop: Does autonomous driving duration affect driver's takeover performance?
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Bringing a Vehicle to a Controlled Stop: Effectiveness of a Dual-Control Scheme for Identifying Driver Drowsiness and Executing Safety Control under Hands-off Partial Driving Automation
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From Driver to Supervisor: Comparing Cognitive Load and EEG-Based Attentional Resource Allocation Across Automation Levels
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Effects of in-vehicle auditory interactions on takeover performance in SAE L2 semi-automated vehicles
inferred← citeshttps://doi.org/10.1016/j.jsr.2019.12.019openalex-snapshot
Age-related differences in effects of non-driving related tasks on takeover performance in automated driving
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The impact of non-driving related tasks on the development of driver sleepiness and takeover performances in prolonged automated driving
inferred← citeshttps://doi.org/10.1016/j.jsr.2023.11.015openalex-snapshot
The monitoring requests on young driver’s fatigue and take-over performance in prolonged conditional automated driving
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Literature review of driving fatigue research based on bibliometric analysis
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A bibliometric review of research on driver fatigue under conditional automated driving
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A human reliability analysis method based on STPA-IDAC and BN-SLIM for driver take-over in Level 3 automated driving
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I think I'm sleepy, therefore I am – Awareness of sleepiness while driving: A systematic review
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Impact of non-driving related task types, request modalities, and automation on driver takeover: A meta-analysis
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Mid-air haptics for automotive HUDs: A sketch anticipation and design fiction study
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Cars and distraction: How to address the limits of Driver Monitoring Systems and improve safety benefits using evidence from German young drivers
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Toward human-vehicle collaboration: Review and perspectives on human-centered collaborative automated driving
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Determinants of take-over time from automated driving: A meta-analysis of 129 studies
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Exploring the benefits of conversing with a digital voice assistant during automated driving: A parametric duration model of takeover time
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Repeated usage of a motorway automated driving function: Automation level and behavioural adaption
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Differential effects of driver sleepiness and sleep inertia on driving behavior
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Evaluating the impacts of driver’s pre-warning cognitive state on takeover performance under conditional automation
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Devil in the details: Systematic review of TOR signals in automated driving with a generic classification framework
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Analysis of the effect of thermal comfort on driver drowsiness progress with Predicted Mean Vote: An experiment using real highway driving conditions
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On the move: The impact of breaking up sitting during the day on driving performance when sleep restricted
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How does drivers’ trust in vehicle automation affect non-driving-related task engagement, vigilance, and initiative takeover performance after experiencing system failure?
inferred← citeshttps://doi.org/10.1016/j.trf.2023.10.023openalex-snapshot
Misuse or abuse of automation? Exploring drivers’ intentions to nap during automated driving
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Monitoring driver drowsiness in partially automated vehicles: Added value from combining postural and physiological indicators
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Sleep in automated driving – Effects of time of day and chronotype on sleepiness and sleep inertia
inferred← citeshttps://doi.org/10.1016/j.trf.2024.06.007openalex-snapshot
How various urgencies and visibilities influence drivers’ takeover performance in critical car-following conditions? A driving simulation study
inferred← citeshttps://doi.org/10.1016/j.trf.2024.06.012openalex-snapshot
How to design driver takeover request in real-world scenarios: A systematic review
inferred← citeshttps://doi.org/10.1016/j.trf.2024.09.002openalex-snapshot
Easy listening or driving distraction? The relationship between audiobook complexity level and driving performance on simple routes
inferred← citeshttps://doi.org/10.1016/j.trf.2024.09.008openalex-snapshot
Investigating the effect of auditory takeover request signals frequency on drivers from an acute stress perspective
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Vigilance decrement in automated vs. manual driving: Insights from multimodal data
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Impact of free-choice non-driving related activities on driver fatigue and performance in the context of conditional automated driving
inferred← citeshttps://doi.org/10.1016/j.trf.2025.07.023openalex-snapshot
Still fit to drive? Effect of car sickness on takeover and driving performance – A test-track study
inferred← citeshttps://doi.org/10.1016/j.trf.2025.103444openalex-snapshot
Postural and physiological indicators of drowsiness at the wheel compared in partially and conditionally autonomous on-road driving
inferred← citeshttps://doi.org/10.1016/j.trip.2024.101148openalex-snapshot
Classification of driver fatigue in conditionally automated driving using physiological signals and machine learning
inferred← citeshttps://doi.org/10.1016/j.trip.2025.101472openalex-snapshot
Is the NASA nap the solution for sleep inertia in automated driving? Unveiling effects of deep sleep on driving behavior, vigilance and subjective experience
inferred← citeshttps://doi.org/10.1016/j.trip.2025.101593openalex-snapshot
Effect of driver-initiated driver control during scheduled transitions with recommendations on reaction times and vehicle control performance in conditional driving automation
inferred← citeshttps://doi.org/10.1038/s41598-021-92914-5openalex-snapshot
Supervision of a self-driving vehicle unmasks latent sleepiness relative to manually controlled driving
inferred← citeshttps://doi.org/10.1038/s41598-021-99680-4openalex-snapshot
Electrophysiological frequency domain analysis of driver passive fatigue under automated driving conditions
inferred← citeshttps://doi.org/10.1049/iet-its.2018.5471openalex-snapshot
Adjustable automation and manoeuvre control in automated driving
inferred← citeshttps://doi.org/10.1049/iet-its.2018.5529openalex-snapshot
Detecting sleep in drivers during highly automated driving: the potential of physiological parameters
inferred← citeshttps://doi.org/10.1049/iet-its.2019.0018openalex-snapshot
Long automated driving phase affects take‐over performance
inferred← citeshttps://doi.org/10.1080/00140139.2025.2596871openalex-snapshot
Investigating effects of temperature and CO 2 on driver drowsiness in the context of conditional automated driving
inferred← citeshttps://doi.org/10.1080/00140139.2026.2684756openalex-snapshot
Underload in sky: reducing the passive fatigue of pilots during cruise through an attention guided - active interactive seating system
inferred← citeshttps://doi.org/10.1080/10447318.2019.1634317openalex-snapshot
Takeover Transition in Autonomous Vehicles: A YouTube Study
inferred← citeshttps://doi.org/10.1080/10447318.2021.1965774openalex-snapshot
Predicting Driver Fatigue in Monotonous Automated Driving with Explanation using GPBoost and SHAP
inferred← citeshttps://doi.org/10.1080/10447318.2023.2273675openalex-snapshot
Differed Risk Perception in Manual and Automated Driving: An Empirical Study of Varied Conditions
inferred← citeshttps://doi.org/10.1080/10447318.2025.2505775openalex-snapshot
The Effect of Advanced Driver Assistance Systems on Truck Drivers’ Defensive Driving Behaviors: Insights from a Preliminary On-Road Study
inferred← citeshttps://doi.org/10.1080/10447318.2025.2552863openalex-snapshot
A Systematic Review of Metrics Measuring Takeover Performance in Conditionally Automated Driving
inferred← citeshttps://doi.org/10.1080/15389588.2021.1904138openalex-snapshot
Exploring the effectiveness of a digital voice assistant to maintain driver alertness in partially automated vehicles
inferred← citeshttps://doi.org/10.1080/15389588.2025.2547950openalex-snapshot
Real-time driver alerts to improve CMV safety in California work zones: a naturalistic study
inferred← citeshttps://doi.org/10.1080/15389588.2025.2559128openalex-snapshot
Simulation-based assessment of driving confidence in hazardous situations under different warning levels
inferred← citeshttps://doi.org/10.1080/15389588.2026.2620511openalex-snapshot
Cognitive activation and emotional regulation effects of olfactory intervention in the context of advanced driver assistance systems
inferred← citeshttps://doi.org/10.1080/15472450.2022.2130292openalex-snapshot
Comparative analysis of drowsiness and performance in conditionally automated driving and manual driving considering the effect of circadian rhythm
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An evaluation and comparison of commercial driver sleepiness detection technology: a rapid review
inferred← citeshttps://doi.org/10.1088/1361-6579/ae45e9openalex-snapshot
The effect of prolonged conditionally automated driving on fatigue, physiological activity, and takeover performance: a driving simulator experiment
inferred← citeshttps://doi.org/10.1088/1741-2552/ab255dopenalex-snapshot
An iterative cross-subject negative-unlabeled learning algorithm for quantifying passive fatigue
inferred← citeshttps://doi.org/10.1109/access.2019.2945136openalex-snapshot
3DCNN-Based Real-Time Driver Fatigue Behavior Detection in Urban Rail Transit
inferred← citeshttps://doi.org/10.1109/access.2023.3236814openalex-snapshot
A Contextual Multimodal System for Increasing Situation Awareness and Takeover Quality in Conditionally Automated Driving
inferred← citeshttps://doi.org/10.1109/csce60160.2023.00450openalex-snapshot
The Just-In-Time Adaptive Artificial Augmentation Capstone Project
inferred← citeshttps://doi.org/10.1109/csnt64827.2025.10968631openalex-snapshot
Smart Vision: AI-Driven Driver Fatigue Monitoring for Drivers
inferred← citeshttps://doi.org/10.1109/cvci63518.2024.10830114openalex-snapshot
Research on Classification of Driving Fatigue Brain Regions Under Human Machine Co-Driving Based on Time-Frequency Domain EEG Features
inferred← citeshttps://doi.org/10.1109/cw49994.2020.00037openalex-snapshot
EEG-based Recognition of Driver State Related to Situation Awareness Using Graph Convolutional Networks
inferred← citeshttps://doi.org/10.1109/ichms49158.2020.9209459openalex-snapshot
Effects of Driver Drowsiness on Driving Performance in the Context of Partial Driving Automation Requiring Hands-on-Wheel
inferred← citeshttps://doi.org/10.1109/ictis60134.2023.10243751openalex-snapshot
The Effect of Driver Fatigue on Takeover Reaction Time under Human-Machine Co-Driving
inferred← citeshttps://doi.org/10.1109/ictis68762.2025.11215055openalex-snapshot
Impact of Non-driving Related Tasks on Drivers During Conditional Automated Driving
inferred← citeshttps://doi.org/10.1109/iitcee57236.2023.10090870openalex-snapshot
Identification of Fatigue Drivers Based on Multiple Convolutional Neural Networks in Accelerometry Data
inferred← citeshttps://doi.org/10.1109/itsc57777.2023.10422424openalex-snapshot
An Efficient Driver Anomaly State Detection Approach Based on End-Cloud Integration and Unsupervised Learning
inferred← citeshttps://doi.org/10.1109/jbhi.2025.3629974openalex-snapshot
Detecting Driver Sleepiness From Physiological Indicators Using a CNN-LSTM Self-Attention Model
inferred← citeshttps://doi.org/10.1109/tim.2023.3301060openalex-snapshot
Driver State Monitoring Technology for Conditionally Automated Vehicles: Review and Future Prospects
inferred← citeshttps://doi.org/10.1109/tits.2021.3090272openalex-snapshot
A Multi-Stage, Multi-Feature Machine Learning Approach to Detect Driver Sleepiness in Naturalistic Road Driving Conditions
inferred← citeshttps://doi.org/10.1109/tits.2021.3127944openalex-snapshot
Detecting Driver Sleepiness Using Consumer Wearable Devices in Manual and Partial Automated Real-Road Driving
inferred← citeshttps://doi.org/10.1109/tits.2022.3186613openalex-snapshot
Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets
inferred← citeshttps://doi.org/10.1109/tits.2022.3189346openalex-snapshot
A Systematic Survey of Driving Fatigue Monitoring
inferred← citeshttps://doi.org/10.1109/tits.2022.3233623openalex-snapshot
A Human-Centered Comprehensive Measure of Take-Over Performance Based on Multiple Objective Metrics
inferred← citeshttps://doi.org/10.1109/tits.2024.3420409openalex-snapshot
A Multi-Source Fusion Approach for Driver Fatigue Detection Using Physiological Signals and Facial Image
inferred← citeshttps://doi.org/10.1109/tits.2026.3678653openalex-snapshot
A Systematic Review of Takeover System Design in Highly Automated Driving
inferred← citeshttps://doi.org/10.1109/tiv.2022.3200826openalex-snapshot
Human-Vehicle Interaction to Support Driver's Situation Awareness in Automated Vehicles: A Systematic Review
inferred← citeshttps://doi.org/10.1109/tiv.2023.3271823openalex-snapshot
Fail-Safe Behavior and Motion Planning Incorporating Shared Control for Potential Driver Intervention
inferred← citeshttps://doi.org/10.1109/wacv48630.2021.00343openalex-snapshot
maskedFaceNet: A Progressive Semi-Supervised Masked Face Detector
inferred← citeshttps://doi.org/10.1111/jsr.70063openalex-snapshot
Occupational and Driving Challenges Within Sleep Medicine
inferred← citeshttps://doi.org/10.1117/12.2620038openalex-snapshot
Research on driver's passive fatigue under the condition of autonomous driving based on eye movement and ECG
inferred← citeshttps://doi.org/10.11175/easts.13.1233openalex-snapshot
Tourist Trip Design Problem considering Fatigue
inferred← citeshttps://doi.org/10.1140/epjs/s11734-024-01088-4openalex-snapshot
Assessment and prevention of inattention and sleepiness during monotonous operator activity with underlying sleep deprivation
inferred← citeshttps://doi.org/10.1145/3313831.3376751openalex-snapshot
Self-Interruptions of Non-Driving Related Tasks in Automated Vehicles: Mobile vs Head-Up Display
inferred← citeshttps://doi.org/10.1145/3349263.3351310openalex-snapshot
Supervising the self-driving car
inferred← citeshttps://doi.org/10.1145/3366550.3372258openalex-snapshot
Secondary task and situation awareness, a mobile application for semi-autonomous vehicle
inferred← citeshttps://doi.org/10.1145/3409120.3410649openalex-snapshot
The Effect of Instructions and Context-Related Information about Limitations of Conditionally Automated Vehicles on Situation Awareness
inferred← citeshttps://doi.org/10.1145/3500866.3516374openalex-snapshot
Comparaison de concepts d’interactions homme-véhicule pour soutenir le conducteur en conduite conditionnellement automatisée
inferred← citeshttps://doi.org/10.1145/3503823.3503830openalex-snapshot
A driving profile recommender system for autonomous driving using sensor data and reinforcement learning
inferred← citeshttps://doi.org/10.1145/3543174.3546830openalex-snapshot
Conversational Voice Agents are Preferred and Lead to Better Driving Performance in Conditionally Automated Vehicles
inferred← citeshttps://doi.org/10.1145/3544999.3552316openalex-snapshot
How Driver Monitoring System Effectively Alerts Drivers of Partially Automated Vehicles
inferred← citeshttps://doi.org/10.1145/3581754.3584133openalex-snapshot
Fatigue and mental underload further pronounced in L3 conditionally automated driving: Results from an EEG experiment on a test track
inferred← citeshttps://doi.org/10.1145/3613905.3651031openalex-snapshot
Chatbot and Fatigued Driver: Exploring the Use of LLM-Based Voice Assistants for Driving Fatigue
inferred← citeshttps://doi.org/10.1145/3626705.3627787openalex-snapshot
On the Road to Productivity: Investigating Text-Presentation Techniques and Audio Assistance for Non-Driving Tasks in Conditionally Automated Vehicles
inferred← citeshttps://doi.org/10.1145/3744333.3747822openalex-snapshot
Effects of Cognitive Distraction and Driving Environment Complexity on Adaptive Cruise Control Use and Its Impact on Driving Performance: A Simulator Study
inferred← citeshttps://doi.org/10.1145/3744335.3758493openalex-snapshot
Leveraging LLM-based Conversational Agents to Combat Passive Fatigue in Conditional Automated Driving Contexts
inferred← citeshttps://doi.org/10.1145/3744335.3758504openalex-snapshot
Flow or Distraction? Exploring Multimodal Patterns of Driver States in Automated Driving
inferred← citeshttps://doi.org/10.1145/3828157.3828790openalex-snapshot
The Role of NDRT Suspension in Facilitating Safe Control Transitions in Level 3 Automated Cars: Age- and Task-Dependent Insights
inferred← citeshttps://doi.org/10.1145/3828158.3834806openalex-snapshot
Student Research Track: Towards Low-Cost Driver Supervision: Evaluating a Smartphone Interface for Driver Inattention Monitoring in Simulated Driving
inferred← citeshttps://doi.org/10.1155/2020/3610923openalex-snapshot
Potential of Highly Automated Vehicles for Monitoring Fatigued Drivers and Explaining Traffic Accidents on Motorway Sections
inferred← citeshttps://doi.org/10.1155/2021/5339959openalex-snapshot
Study on the Influence of LED Spectrum on the Visual and Nonvisual Effects in the Interior Zone of Tunnels
inferred← citeshttps://doi.org/10.1155/2021/8632685openalex-snapshot
Effects of Level 3 Automated Vehicle Drivers’ Fatigue on Their Take-Over Behaviour: A Literature Review
inferred← citeshttps://doi.org/10.1177/0018720819829572openalex-snapshot
Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures
inferred← citeshttps://doi.org/10.1177/0018720819866976openalex-snapshot
Task Interruption and Control Recovery Strategies After Take-Over Requests Emphasize Need for Measures of Situation Awareness
inferred← citeshttps://doi.org/10.1177/0018720819893137openalex-snapshot
Olfactory Facilitation of Takeover Performance in Highly Automated Driving
inferred← citeshttps://doi.org/10.1177/00187208241295932openalex-snapshot
Active Inference Models of AV Takeovers: Relating Model Parameters to Trust, Situation Awareness, and Fatigue
inferred← citeshttps://doi.org/10.1177/03611981211046920openalex-snapshot
Is it Good or Bad to Provide Driver Fatigue Warning During Take-Over in Highly Automated Driving?
inferred← citeshttps://doi.org/10.1177/03611981211052963openalex-snapshot
Driving and Flying Simulators: A Review on Relevant Considerations and Trends
inferred← citeshttps://doi.org/10.1177/03611981221108980openalex-snapshot
Allocation of Drivers’ Visual Attention During Preliminary Uses of Automated Driving: A Wizard-of-Oz Study
inferred← citeshttps://doi.org/10.1177/09544070261446553openalex-snapshot
Semantic insights into public trust: A textual data approach for automated vehicle interaction
inferred← citeshttps://doi.org/10.1177/1071181320641328openalex-snapshot
The Impact of Mental States on Semi-autonomous Driving Takeover Performance: A Systematic Review
inferred← citeshttps://doi.org/10.1177/15553434241230604openalex-snapshot
How Are Automation Failures Characterized in the Driving Domain? Insights From a Scoping Review
inferred← citeshttps://doi.org/10.1177/20552076231174782openalex-snapshot
Assessing the physiological effect of non-driving-related task performance in conditionally automated driving systems: A systematic review and meta-analysis protocol
inferred← citeshttps://doi.org/10.1177/21582440221105262openalex-snapshot
Optimization of Evaluation Indicators for Driver’s Traffic Literacy: An Improved Principal Component Analysis Method
inferred← citeshttps://doi.org/10.1186/s12544-021-00505-2openalex-snapshot
Takeover performance evaluation using driving simulation: a systematic review and meta-analysis
inferred← citeshttps://doi.org/10.1186/s41235-023-00527-5openalex-snapshot
Driver behavior while using Level 2 vehicle automation: a hybrid naturalistic study
inferred← citeshttps://doi.org/10.12677/orf.2025.151049openalex-snapshot
The Impact of Graded Alerts on Self-Driving Takeovers in Different Scenarios
inferred← citeshttps://doi.org/10.1299/jamdsm.2023jamdsm0031openalex-snapshot
Effects of saccadic and scent stimulations on driver attentiveness in automated driving systems
inferred← citeshttps://doi.org/10.13140/rg.2.2.22542.18246openalex-snapshot
Big Data Generated by Connected and Automated Vehicles for Safety Monitoring, Assessment and Improvement, Final Report (Year 3)
inferred← citeshttps://doi.org/10.1371/journal.pone.0257201openalex-snapshot
Effects of automation trust in drivers’ visual distraction during automation
inferred← citeshttps://doi.org/10.1371/journal.pone.0269312openalex-snapshot
Psychometric properties of the Attitudes and Beliefs about Sleepy Driving Scale in Chinese drivers and its relationships with driving behaviours
inferred← citeshttps://doi.org/10.21203/rs.3.rs-457935/v1openalex-snapshot
Electroencephalography Sample Entropy of Driver Passive Fatigue Threshold in Automated Driving
inferred← citeshttps://doi.org/10.2139/ssrn.5445926openalex-snapshot
Chatbot for Fatigued Drivers: Exploring the Use of LLM-Based Voice Assistants in Alleviating Driving Fatigue and Enhancing Performance
inferred← citeshttps://doi.org/10.2139/ssrn.6909259openalex-snapshot
An EEG-Assisted Two-Stage PERCLOS Forecasting Method for Driver Fatigue Early Warning
inferred← citeshttps://doi.org/10.2139/ssrn.7520368openalex-snapshot
From Underload to Unsafe Takeovers: The Role of Fatigue in Level 3 Automated Driving
inferred← citeshttps://doi.org/10.2139/ssrn.7608011openalex-snapshot
Takeover performance is dimension-selective: safety, timeliness and vehicle control respond to different design levers
inferred← citeshttps://doi.org/10.22214/ijraset.2020.6324openalex-snapshot
Driver Drowsiness Detection using Machine Learning
inferred← citeshttps://doi.org/10.22214/ijraset.2021.35348openalex-snapshot
Driver Drowsiness Detection using Machine Learning with Visual Behaviour
inferred← citeshttps://doi.org/10.23880/eoij-16000300openalex-snapshot
How do Vehicle Automated Features Help or Hurt Driving Performance?
inferred← citeshttps://doi.org/10.23919/icact.2019.8701928openalex-snapshot
A Study on Feature Extraction Methods Used to Estimate a Driver’s Level of Drowsiness
inferred← citeshttps://doi.org/10.26128/2021.100openalex-snapshot
Hochautomatisiertes Fahren im Mischverkehr auf der Autobahn - Unfallforschung kompakt
inferred← citeshttps://doi.org/10.26128/2021.181openalex-snapshot
Hochautomatisiertes Fahren im Mischverkehr - Reaktionen menschlicher Fahrer auf hochautomatisierte Fahrzeuge - Forschungsbericht
inferred← citeshttps://doi.org/10.31862/2500-2961-2023-13-3-313-336openalex-snapshot
Discrepancy between subjective and objective health indicators when performing monotonous operator activities against the background of chronic sleep deprivation
inferred← citeshttps://doi.org/10.32657/10356/107596openalex-snapshot
Detecting passive fatigue with brain-computer interface in drowsy driving and stroke rehabilitation
inferred← citeshttps://doi.org/10.33266/2070-1004-2023-1-51-56openalex-snapshot
Psychophysiology of Inattention and Fatigue in Car Drivers Distracted for Electronic Devices
inferred← citeshttps://doi.org/10.3389/fnbot.2023.1240933openalex-snapshot
Neurophysiological mental fatigue assessment for developing user-centered Artificial Intelligence as a solution for autonomous driving
inferred← citeshttps://doi.org/10.3389/fnhum.2019.00057openalex-snapshot
A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving
inferred← citeshttps://doi.org/10.3389/fpos.2023.1238461openalex-snapshot
Human involvement in autonomous decision-making systems. Lessons learned from three case studies in aviation, social care and road vehicles
inferred← citeshttps://doi.org/10.3389/fpsyg.2021.619104openalex-snapshot
Skin Conductance Responses of Learner and Licensed Drivers During a Hazard Perception Task
inferred← citeshttps://doi.org/10.3389/fpsyg.2025.1647424openalex-snapshot
Dual-phase effects of emotional music on driving fatigue: delay and awakening revealed by pupillometry
inferred← citeshttps://doi.org/10.3390/app12031438openalex-snapshot
Take-Over Requests after Waking in Autonomous Vehicles
inferred← citeshttps://doi.org/10.3390/app16189049openalex-snapshot
Multimodal Physiological Detection of Passive Fatigue in SAE Level 3 Automated Driving Using Eye-Movement and ECG Features
inferred← citeshttps://doi.org/10.3390/futuretransp4010015openalex-snapshot
How to Counteract Driver Fatigue during Conditional Automated Driving—A Systematic Review
inferred← citeshttps://doi.org/10.3390/info11020114openalex-snapshot
Repeated Usage of an L3 Motorway Chauffeur: Change of Evaluation and Usage
inferred← citeshttps://doi.org/10.3390/machines9020036openalex-snapshot
Human–Machine Interface in Transport Systems: An Industrial Overview for More Extended Rail Applications
inferred← citeshttps://doi.org/10.3390/mti5080040openalex-snapshot
User Monitoring in Autonomous Driving System Using Gamified Task: A Case for VR/AR In-Car Gaming
inferred← citeshttps://doi.org/10.3390/s19143200openalex-snapshot
Lightweight Driver Monitoring System Based on Multi-Task Mobilenets
inferred← citeshttps://doi.org/10.3390/s19224883openalex-snapshot
Study on the Effect of Man-Machine Response Mode to Relieve Driving Fatigue Based on EEG and EOG
inferred← citeshttps://doi.org/10.3390/s22176598openalex-snapshot
A Deep Learning Approach to Classify Sitting and Sleep History from Raw Accelerometry Data during Simulated Driving
inferred← citeshttps://doi.org/10.3390/s22239093openalex-snapshot
Can Shared Control Improve Overtaking Performance? Combining Human and Automation Strengths for a Safer Maneuver
inferred← citeshttps://doi.org/10.3390/safety9010011openalex-snapshot
Fatigue and Secondary Media Impacts in the Automated Vehicle: A Multidimensional State Perspective
inferred← citeshttps://doi.org/10.3390/su16198345openalex-snapshot
Analysis of Influencing Factors of Level 3 Automated Vehicle Takeover: A Literature Review
inferred← citeshttps://doi.org/10.3390/wevj15090400openalex-snapshot
Proposal of a Cost-Effective and Adaptive Customized Driver Inattention Detection Model Using Time Series Analysis and Computer Vision
inferred← citeshttps://doi.org/10.36244/icj.2023.1.4openalex-snapshot
Machine Learning Use-Cases in C-ITS Applications
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