l1 advisory

One assistance feature (ACC or LKA, not both).

1546 papers carry this automation level tag, of 8040 that declare a automation level at all (62594 papers carry any topic). Absence here means undeclared, not absent.

Where this appears in the corpus

Most common topics

Papers

Newest 200 shown. For the full set, or to combine this with a topic, use the catalogue search.

Perceptions and Understanding of Advanced Driver Assistance Systems and Vehicle Automation · 2026 · AAA Foundation for Traffic Safety
Guiding drivers' attention to the right place at the right time during transitions from SAE level 2 driving system: Effects of warning directionality and audiovisual asynchrony ↗ · 2026 · Arabian, Ali et al.
Distraction mitigation through driver monitoring systems: a scoping review ↗ · 2026 · Ayas, Suzan et al.
User Acceptance of Advanced Driver Assistance Systems (ADAS) and Their Implications for Urban Mobility: Evidence from Focus Groups in Hungary · 2026 · Balassa, Boglárka Eisingerné et al.
User-Friendly Design of Human–machine Interaction of Driver Assistance Systems ↗ · 2026 · Bengler, Klaus et al.
Designing an advanced early warning system to detect drivers’ distraction and drowsiness – A pilot study ↗ · 2026 · Boujenfa, Sabrina et al.
Driving with autism spectrum disorder: Exploring the impact of tactile hazard warnings on gaze behavior and hazard responses ↗ · 2026 · Brady, Shan et al.
AI Co-Driver and AR Integration for Dynamic Emergency Navigation and Collision Avoidance · 2026 · Charissis, Vassilis et al.
Effects of visual warnings on guiding attention during distracted driving ↗ · 2026 · Chihara, Takanori et al.
Driver Awareness, Usage, and Satisfaction with Advanced Driver Assistance Systems (ADAS) in Alberta ↗ · 2026 · Damsara, K.D.P et al.
Multimodal attention-guiding takeover alerts in autonomous driving: Comparing visual, auditory, and combined modalities ↗ · 2026 · Dong, Zhanxun et al.
Traffic-rule Switching Impairs Hazard Perception and Avoidance, But Collision Warnings Partly Compensate: Evidence from Driving Simulation and Eye Tracking ↗ · 2026 · Fu, Lixin et al.
Seeing the automation malfunction before it happens: designing information cues that support driver situation awareness ↗ · 2026 · Garakani, Golnoosh et al.
Seeing Through the Leading Vehicle via Rear-Facing eHMIs – An On-Road Study ↗ · 2026 · Gu, Feiqi et al.
Exploring False Warnings and Modalities for Emergency Vehicle Alerts and Their Impact on Driver Behavior · 2026 · Weibull, Kajsa et al.
AI-Based Uncertainty Estimation for Risk-Aware Lane Departure Warning System to Enhance Roadway Safety ↗ · 2026 · Karjol, Akshay et al.
Next-Generation Driver Monitoring Systems: A Review of Multimodal Detection of Distraction, Drowsiness, and Sudden Medical Conditions ↗ · 2026 · Kazum, Hasan A. et al.
Behavioural adaptation in Advanced Driver Assistance Systems (ADAS) use ↗ · 2026 · Kim, Soyeon et al.
Comparative Review of Commercialized Advanced Driver Assistance System (ADAS) Technologies ↗ · 2026 · Kim, Yeongmin et al.
A Study on the Installation Layout of Driver Attention Warning for Business Vehicles ↗ · 2026 · Korea Safety Culture Society et al.
A Comparative Safety Performance Evaluation of Automated Driving Systems and Advanced Driver Assistance Systems ↗ · 2026 · Kutela, Boniphace et al.
Driver-Oriented Active Intervention Control Framework for Human–Machine Shared Collision Avoidance ↗ · 2026 · Li, Yuanhao et al.
Knowledge, attitudes and experience: Understanding the factors that shape ADAS use across five European Countries ↗ · 2026 · Madigan, Ruth et al.
AI at the Wheel: The Effectiveness of Advanced Driver-Assistance Systems ↗ · 2026 · Maheshri, Vikram et al.
Real-Time Driver Alertness and Assistance System · 2026 · Meshram, Ms. Priya
Automatic Drowsiness Alert and Lane Change System ↗ · 2026 · N. S. Patil
A comparative review of driver drowsiness detection systems: Recent advances, applications, challenges, and future directions ↗ · 2026 · Peker, Nur Yasin et al.
From distraction to support: evolving perspectives on driver attention support and the case for a holistic, context-aware framework ↗ · 2026 · Reimer, Bryan et al.
Collision Avoidance Effectiveness of an Automated Driving System Using a Human Driver Behavior Reference Model in Reconstructed Fatal Collisions ↗ · 2026 · Scanlon, John M. et al.
Can unreliable auditory hazard warnings help the driver? The effect of timing errors and false alarms on road hazard detection in dynamic road scenes · 2026 · Song, Jiali et al.
Leveraging explainable artificial intelligence to improve advanced driver assistance systems through driver eye-tracking interpretation ↗ · 2026 · Sulle, Methusela et al.
Evaluation of Digital Alert Systems Associated With Emergency Response Vehicles and Compliance With Move Over Law · 2026 · Talebpour, Alireza et al.
Current Status and Application Research of Advanced Driver Assistance Systems (ADAS) · 2026 · Tao, Zhen
Fusion-Drive AI: A Real-Time Multimodal Driver and Road Monitoring System ↗ · 2026 · Umasankar, G.
Crash Pattern Heterogeneity in Automated Vehicles Across Varying Levels of Automation · 2026 · Usman, Sheikh Muhammad
Ocular-Behavioral Metrics for Driver State Classification for Indian Driving Contexts: KSS-Based Evaluation, Conformance and Implementation Challenges ↗ · 2026 · Verma, Harshal et al.
Driving with Influence: Exploring Crash Factors of Automated Systems in Different Roadway Contexts ↗ · 2026 · Astle, W. Abram et al.
From Awareness to Intent: Mitigating Silent Driving System Failures through Prospective Situation Awareness Enhancing Interfaces · 2026 · Wang, Jiyao et al.
Modeling Driving Safety Under Multiple Potential Hazard Warnings: Cry Wolf Effect and Behavioral Adaptation Moderated by Hazard Type ↗ · 2026 · Wang, Xu et al.
OpenLKA: An Open Dataset of Lane Keeping Assist Systems in Real-World Driving from Recent Production Cars ↗ · 2026 · Wang, Yuhang et al.
Loudness of In-Vehicle auditory Warnings: Sustained counteraction of task-related driver fatigue and individual differences in alertness maintenance ↗ · 2026 · Wu, Mengjiao et al.
Use and preferences of advanced driver assistance systems by drivers with homonymous visual field loss. ↗ · 2026 · Xu, J et al.
How does the connected AR-HUD warning system affect lane-changing strategies during freeway abandoned object events: A survival analysis approach ↗ · 2026 · Zhang, Yu et al.
Explicit and implicit HMI for tunnel blind spot: insights from a naturalistic driving experiment ↗ · 2026 · Zhu, Beining et al.
Effects of Training Content and Approach on Drivers’ Understanding of and Performance with Advanced Driver Assistance Systems · 2025 · AAA Foundation for Traffic Safety
How Does Adaptive Cruise Control Use Impact Driver Behaviors, Mental Models, and Trust and Perception in the System? ↗ · 2025 · Aldugom, Mary et al.
Asynchrony of Directional Auditory Warnings and Visual Information in Hands-on SAE Level 2 Automated Vehicles: Analysis of Driver Responses ↗ · 2025 · Arabian, Ali et al.
Guiding drivers’ attention to the right place at the right time during transitions from SAE level 2 driving system: Effects of warning directionality and audiovisual asynchrony ↗ · 2025 · Arabian, Ali et al.
Safety Enhancement of Adaptive Cruise Control Adapted to Driver Eyes-Off State ↗ · 2025 · Arai, Norika et al.
Accident Prevention System for Drivers Safety · 2025 · Garje, Avantika
Advanced Driver Assistance Systems for Driver Health and Fatigue Monitoring Using Camera, Biometric Sensors, Telematics and Machine Learning ↗ · 2025 · Bhargav, Matavalam
Adaptive Driver Vigilance Monitoring System for Enhanced Road Safety · 2025 · Bodhale, U. N. et al.
Adaptive Driver Vigilance Surveillance System · 2025 · Bodhale, U.N. et al.
Driver Drowsiness Detection and Adaptive Braking System ↗ · 2025 · Borgohain, Chanakya et al.
Influence of ADAS on Driver Distraction ↗ · 2025 · Bosurgi, Gaetano et al.
Dynamic Optimization of Adaptive Vehicle Lighting Systems: A Multimodal Assessment of Driver Performance and Well-being · 2025 · Chai, Ruizhuo et al.
FMVSS Considerations for Vehicles with Automated Driving Systems: Volume 3 · 2025 · Chaka, Michelle et al.
YOLOv12-Based Driver Monitoring System: Real-Time Applications in ADAS · 2025 · Chaman, Mohammed et al.
Time-dependent effect of advanced driver assistance systems on driver behavior based on connected vehicle data ↗ · 2025 · Chen, Yuzhi et al.
Convenience or safety system? Crash rates of vehicles equipped with partial driving automation ↗ · 2025 · Cicchino, Jessica B.
Safety impact of advanced driver assistance systems in Europe in 2030 ↗ · 2025 · Costa, Antonio et al.
A Systematic Review on User Acceptance of Advanced Driver Assistance Systems (ADAS) ↗ · 2025 · Damsara, KDP et al.
Combining Driving Automation Intent and Hazard Information with an Attention Reminder System: Is More Information Always Better? ↗ · 2025 · Kanaan, Dina et al.
Assessing the safety effectiveness of advanced driver assistance systems ↗ · 2025 · Ding, Shengxuan et al.
Hazard analysis of an Automated Lane Keeping System using Systems-Theoretic Process Analysis ↗ · 2025 · Elizebeth, Mariat James et al.
Differences in drivers’ dependence on AR warning information in urban driving environments: the role of driving experience · 2025 · Huo, Faren et al.
Monitoring Technologies for Truck Drivers: A Systematic Review of Safety and Driving Behavior · 2025 · Fonseca, Tiago et al.
How predictive-forward-collision-warning reduces the collision risk of leading vehicle driver ↗ · 2025 · Fu, Qiang et al.
Evaluation of A Truck In-Cab Alert System · 2025 · Goodall, Noah J. et al.
Lessons in Cooperation: Driver Sentiments Toward Real-Time Advisory Systems ↗ · 2025 · Hasan, Aamir et al.
An integrated intelligent speed adaptation system for enhanced driver assistance, driving performance and safety ↗ · 2025 · Hazoor, Abrar et al.
The Influence of Advanced Driver Assistance Systems on Fatigue Development Among Long-Haul Truck Drivers · 2025 · Huang, Chunxi et al.
The Effect of Advanced Driver Assistance Systems on Truck Drivers’ Defensive Driving Behaviors: Insights from a Preliminary On-Road Study ↗ · 2025 · Huang, Chunxi et al.
Evaluating the Effectiveness of Visual and Auditory ADAS Alerts on Rural Roads Using a Driving Simulator · 2025 · Cruzado, Ivette et al.
The effects of urgency and voice warning types on driver responses in conditionally automated driving: ↗ · 2025 · Jo, Seongyeon et al.
Behavioural Response to Advanced Driver Assistance System (ADAS): A Naturalistic Data Comparison Between Vietnam and Belgium ↗ · 2025 · Khattak, Muhammad Wisal et al.
Do Aftermarket and Original Equipment Forward Collision Warning Systems Respond the Same to Vehicles and Pedestrians? ↗ · 2025 · Kidd, David et al.
Disuse of advanced driver assistance systems (ADAS) ↗ · 2025 · Kim, Soyeon et al.
Classifying Advanced Driver Assistance System (ADAS) Activation from Multimodal Driving Data: A Real-World Study ↗ · 2025 · Lee, Gihun et al.
Human Impact of Visual Detail in Vehicle Lane-Keeping System Communication ↗ · 2025 · Lee, Yu Chul et al.
Exploring knowledge and perceptions of Advanced Driver Assistance Systems (ADAS): Results of a southern Italian survey ↗ · 2025 · Leonardi, Salvatore et al.
Examination of General Motors Super Cruise system field effects using state police report crash data ↗ · 2025 · Leslie, Andrew J. et al.
Evaluation of peripheral vision displays to support driver’s situation awareness in automated driving takeover ↗ · 2025 · Li, Jue et al.
REViVe: Development of a reactive environmental vigilance in-vehicle system to mitigate drowsiness-induced inattention during automated driving ↗ · 2025 · Lim, Chiho et al.
A Holistic Inquiry of Intelligent Speed-Assist Technology: Safety Impacts, Technology Implementation, and Challenges · 2025 · Machiani, Sahar Ghanipoor et al.
Novice and Young Drivers and Advanced Driver Assistant Systems: A Review ↗ · 2025 · Mansourifar, Fariborz et al.
The benefits and pitfalls of advanced driver assistance systems for mitigating drowsy driving crashes ↗ · 2025 · Howard, Mark E et al.
Advanced Driver Assistance Systems: A Review of Key Limitations and Emerging Solutions in Modern Automotive Safety ↗ · 2025 · Navale, Rushikesh et al.
Visual behaviour of train drivers: a comparative analysis of ETCS and a lineside signalling system ↗ · 2025 · Olsson, Niklas et al.
Evaluating Older Drivers’ Reaction to Forward Collision Warning (FCW) and Automated Emergency Braking (AEB) Systems Under Conditions of Distraction Using a Driving Simulator · 2025 · Olufowobi, Oluwaseun et al.
Sensor Technology in Intelligent Transportation Systems - Lane Departure Warnings ↗ · 2025 · Oyeyemi, Ahmed et al.
A Systematic Literature Review on Safety of the Intended Functionality for Automated Driving Systems · 2025 · Patel, Milin et al.
Real-Time Driver State and Surrounding Awareness System with Lane Departure, Drowsiness, and Blind-Spot Detection ↗ · 2025 · Patil, Shital et al.
Literature Review: Analisis Pengaruh Teknologi Advanced Driver Assistance System (ADAS) dalam Keselamatan Berkendara · 2025 · Prakosa, Dzaki Putra et al.
Examining Driver Vigilance in Partially Automated Vehicles: The Impact of Push Notifications ↗ · 2025 · Proskurin, Aleksei V. et al.
An Investigation of the Factors Surrounding Crashes and Near — Crashes of ADAS-Equipped Vehicles · 2025 · Reyes, Michelle L. et al.
Evaluating Driver Perceptions of Integrated Safety Monitoring Systems for Alcohol Impairment and Distraction · 2025 · Patibandla, RoshikNagaSai et al.
Driver Drowsiness Detection with Intelligent Traffic and Rest spot Assistance ↗ · 2025 · S, Yoheswari et al.
Demo: Driver Gaze-Aware Adaptive LiDAR Sensing for Advanced Driver Assistance Systems ↗ · 2025 · Scarì, Federico et al.
Real-Time Drowsiness and Lane Departure Warning System Using Deep Learning and Embedded Systems ↗ · 2025 · Seo, Donggyu et al.
Autonix: Real-Time Driver Drowsiness and Crash Detection System · 2025 · Shaikh, Maizah et al.
Comparison of Two-Level and Three-Level Graded Collision Warning Systems Under Distracted Driving Conditions ↗ · 2025 · Shariatmadari, Khatereh et al.
Design and Development of a Tactile Takeover Warning System Using a Tactile Seat for Automated Driving · 2025 · Shi, Jinlei et al.
Evaluating Older Drivers’ Reaction to Forward Collision Warning (FCW) and Automated Emergency Braking (AEB) Under Conditions of Distraction Using a Driving Simulation · 2025 · Shirani, Niloufar et al.
Assessing the Effect of Test Target Offset on Forward Collision Warning and Automatic Braking Onset Timing · 2025 · Snyder, Andrew C. et al.
Safety Implications of Potential Advanced Driver Assistance Systems Sensor Degradation · 2025 · Stowe, Loren et al.
Lane-Change Response to Infrastructure Warning About Lane Closure in a Mixed Vehicle Fleet · 2025 · Svancara, Austin et al.
Improved Situation Awareness with User Intention-Based Lane Change Assistant ↗ · 2025 · Tanshi, Foghor et al.
Evaluation of time headway maintenance of bus drivers and its impact on road crashes using ADAS alerts ↗ · 2025 · Thakur, Dev Singh et al.
Advanced Driver Assistance Systems in the Driver Training System in Hungary · 2025 · Ötvös, Viktoria et al.
Do automation and digitalization distract drivers? A systematic review ↗ · 2025 · Vijay, Neelima C. et al.
Übersicht und Trends bei der Fahrer Überwachung ↗ · 2025 · Walter, Nalita et al.
Advanced Driver Assistance Systems and Emotion-based Driver Behavior · 2025 · Waters, Anthony et al.
Saliency-Based Attention Shifting: A Framework for Improving Driver Situational Awareness of Out-of-Label Hazards · 2025 · Shleibik, Yousra et al.
Advanced Driver Assistance Systems Reliability Modeling ↗ · 2025 · Zhang, Jiliang
An Adaptive FCW System Based on Driver Attention States ↗ · 2025 · Zhu, Siyuan et al.
Investigating the impacts of auditory and visual feedback in advanced driver assistance systems: a pilot study on driver behavior and emotional response ↗ · 2025 · Zou, Zhao et al.
A NEW INTELLIGENT DRIVER VIGILANCE SYSTEM DESIGN USING TILT SENSORS · 2025 · Zuhair Ghazi Zahid, Ali et al.
Beyond the Dashboard: Investigating Distracted Driver Communication Preferences for ADAS · 2024 · Hasan, Aamir et al.
Modeling Drivers' Risk Perception via Attention to Improve Driving Assistance · 2024 · Biswas, Abhijat et al.
Driving Safer: A Look at How Men and Women Use Advanced Driver Assistance Systems · 2024 · Afshari, Abolfazl et al.
Technologies for detecting and monitoring drivers' states: A systematic review ↗ · 2024 · AL-Quraishi, Maged S. et al.
Accident Prevention System for Cars, Buses, Trucks · 2024 · Garje, Avantika
Driving Examiners’ Perceptions and Awareness of Advanced Driver Assistance Systems: A Survey-Based Analysis ↗ · 2024 · Balassa, Boglárka Eisinger et al.
Quantification of Alertness and Evaluation Method for Vision Based Driver Drowsiness and Alertness Warning System ↗ · 2024 · Balasubrahmanyan, Chappagadda et al.
2022 CDA Annual Report · 2024 · Balse, Animesh et al.
Optimization of Forward Collision Warning Algorithm Considering Truck Driver Response Behavior Characteristics ↗ · 2024 · Bao, Yanli et al.
Effect of Aftermarket Modifications on ADAS Functionality – 2022 Chevrolet Silverado Light Vehicle ↗ · 2024 · Bastiaan, Jennifer et al.
Driver Warning and Automatic Brake System for Intelligent Transportation System ↗ · 2024 · Hira Beenish et al.
Driver Facial Emotions and Drowsiness Detection for Enhanced Advanced Driver Assistance Systems(ADAS): Safety Management ↗ · 2024 · Bharadwaj, Sippee et al.
Analysis of Driver Drowsiness and Attention Warning System Test (EU) 2021/1341 ↗ · 2024 · Cai, Dandan et al.
How ADAS alert resources match the Driver-Vehicle-Environment system model: an analysis of co-design data ↗ · 2024 · Camilo, Bruna Salvaia et al.
Unreliable Pedestrian Detection and Driver Alerting in Intelligent Vehicles ↗ · 2024 · Cummings, Mary L. et al.
The Effectiveness of Forward Collision Warning Systems in Detecting Real-World Passenger and Nonpassenger Vehicles Relative to a Surrogate Vehicle Target ↗ · 2024 · Kidd, David et al.
Scenario-based assessment of automated driving systems: How (not) to parameterize scenarios? ↗ · 2024 · de Gelder, Erwin et al.
Development of a Monitoring System for Driver Readiness in Prolonged Automated Driving · 2024 · Deb, Shuchisnigdha et al.
Training benefits driver behaviour while using automation with an attention monitoring system ↗ · 2024 · DeGuzman, Chelsea A. et al.
Exploratory analysis of injury severity under different levels of driving automation (SAE Levels 2 and 4) using multi-source data ↗ · 2024 · Ding, Shengxuan et al.
From young to old: The effects of information presentation type, multimodal display, and age on situation awareness and processing time in automated vehicles · 2024 · Du, Na et al.
Exploratory Development of Algorithms for Determining Driver Attention Status · 2024 · Herbers, Eileen et al.
Attentional warnings caused by driver monitoring systems: How often do they appear and how well are they understood? ↗ · 2024 · Forster, Yannick et al.
An advanced multimodal driver-assistance prototype for emergency-vehicle detection ↗ · 2024 · Gabrielli, Leonardo et al.
Fatal crashes involving vehicles with driver warning systems: Identifying risk factors using a correlated random parameters ordered logit modeling approach ↗ · 2024 · Gajera, Hardik et al.
An Innovative System for Driver Monitoring and Vehicle Sound Interaction ↗ · 2024 · Generosi, Andrea et al.
Integrated Door Opening and Lane Change Warning System (IDOLCWS) ↗ · 2024 · Gireesh Patrudu, Banka et al.
Can You Hazard a Guess?: Evaluating the Effect of Augmented Reality Cues on Driver Hazard Prediction ↗ · 2024 · Goodge, Thomas Alexander et al.
L-TLA: A Lightweight Driver Distraction Detection Method Based on Three-Level Attention Mechanisms ↗ · 2024 · Guo, Zizheng et al.
Estimating the Effects of Vehicle Automation and Vehicle Weight and Size on Crash Frequency and Severity: Phase 1 · 2024 · Harper, Corey et al.
A Comparative Analysis of Lane Keeping Assist and Lane Departure Warning Systems on Curved and Straight Roadways ↗ · 2024 · Harrington, Shawn et al.
Lessons in Cooperation: A Qualitative Analysis of Driver Sentiments towards Real-Time Advisory Systems from a Driving Simulator User Study ↗ · 2024 · Hasan, Aamir et al.
A comparison of patterns and contributing factors of ADAS and ADS involved crashes · 2024 · Yan, Song et al.
Characteristics of Rear-End Collisions: A Comparison between Automated Driving System-Involved Crashes · 2024 · Huang, Chunxi et al.
Driver Drowsiness Multi-Method Detection for Vehicles with Autonomous Driving Functions ↗ · 2024 · Beles, Horia et al.
Enhancing Safety in Autonomous Vehicles: The Impact of Auditory and Visual Warning Signals on Driver Behavior and Situational Awareness ↗ · 2024 · Huang, Ann et al.
Navigating Risk: Deep Learning Approaches for Lane Change Safety and Lane Departure Warning Systems ↗ · 2024 · Jayadharshini, P. et al.
Driver Monitoring Systems in Automated Vehicles for the Older Population ↗ · 2024 · Jestin, Iris et al.
Can unreliable auditory hazard warnings help the driver? The effect of timing errors and false alarms on road hazard detection in dynamic road scenes. ↗ · 2024 · Song, Jiali et al.
False Alarm Effects in Early Warnings for Emergency Vehicles: Exploring Drivers’ Move-Over Behavior · 2024 · Weibull, Kajsa et al.
In-vehicle displays for driving automation: a scoping review of display design and evaluation using driver gaze measures ↗ · 2024 · Kanaan, Dina et al.
From Warnings to Workload: The Impact of Driver Monitoring System Warnings on Drivers' Self-Reported Workload ↗ · 2024 · Koniakowsky, Ina Marie et al.
The Paradox of Driving-Related Distraction: Driver Monitoring Systems Trigger Warnings During Overtaking Maneuvers ↗ · 2024 · Koniakowsky, Ina Marie et al.
Safety Driver Attention on Autonomous Vehicle Operation Based on Head Pose and Vehicle Perception ↗ · 2024 · Konrad, Santiago Gerling et al.
The Impact of Adaptive Cruise Control on the Drivers’ Workload and Attention ↗ · 2024 · Lantieri, Claudio et al.
Development and Demonstration of a Novel Red Light Running Warning System Using Connected v2i Technology · 2024 · Levin, Michael W. et al.
Assessing the Effects of Interchange Warning Systems on Driving Risk: A Driving Simulator Study ↗ · 2024 · Li, Jingyang et al.
Optimal Driver Warning Generation in Dynamic Driving Environment · 2024 · Li, Chenran et al.
Classification of advanced driver assistance systems according to their impact on mental workload ↗ · 2024 · Liebherr, Magnus et al.
Intelligent Driving Assistance Strategies for Vehicles Based on Traffic Accident Scenarios ↗ · 2024 · Liu, Xingshu et al.
Using naturalistic and driving simulator data to model driver responses to unintentional lane departures · 2024 · Svärd, Malin et al.
Human-Machine interfaces and vehicle Automation: A review of the literature and recommendations for system Design, Feedback, and alerts · 2024 · Wang, Meng et al.
Impact analysis of Advanced Driver Assistance Systems (ADAS) regarding road safety – computing reduction potentials · 2024 · Aleksa, Michael et al.
Regulatory Trends for Enhancement of Road Safety ↗ · 2024 · Nayak, Pratik et al.
Comparing Auditory, Haptic, and Combined Auditory-haptic Lane Departure Warnings: A Systematic Review and Meta-analysis ↗ · 2024 · Nees, Michael A.
Analysis of Advanced Driver-Assistance Systems for Safe and Comfortable Driving of Motor Vehicles ↗ · 2024 · Neumann, Tomasz
Effective driver distraction warning system incorporating fast image recognition methods ↗ · 2024 · Nguyen, Van Binh et al.
Evaluation of Driver Reaction to Disengagement of Advanced Driver Assistance System with Different Warning Systems While Driving Under Various Distractions ↗ · 2024 · Shirani, Niloufar et al.
Advanced Driver Assistance System (ADAS) ↗ · 2024 · Nitin et al.
Design and implementation of driver coach application for pilot assist: A first validation study ↗ · 2024 · Orlovska, Julia et al.
Audiovisual messages may improve the processing of traffic information and driver attention during partially automated driving: An EEG study · 2024 · Pi-Ruano, Marina et al.
Audiovisual presentation of variable message signs improves message processing in distracted drivers during partially automated driving · 2024 · Pi-Ruano, Marina et al.
Assessment of Driver Monitoring Systems for Alcohol Impairment Detection and Level 2 Automation · 2024 · Prendez, David M et al.
Reducing Warning Errors in Driver Support with Personalized Risk Maps ↗ · 2024 · Puphal, Tim et al.
Modeling and Analysis of the Aft Collision Assist Advanced Driver Assistance System ↗ · 2024 · Rictor, A. et al.
EXAMINING DRIVER PREFERENCES FOR INTELLIGENT AUDIOVISUAL WARNINGS AT HIGHWAY-RAIL GRADE CROSSINGS ↗ · 2024 · Walker, Samantha
Cooperative Driving Automation Alerts During Rainy Weather Conditions · 2024 · Sanchez, Robert et al.
Effects of Work Zone Infrastructure on Transitioning from Automated to Manual Driving for Work Zones with Lane Reductions · 2024 · Sanchez, Robert et al.
An Overview of Machine Learning Algorithms to Reduce Driver Fatigue and Distraction-Related traffic Accidents ↗ · 2024 · Santos, Maykol et al.
Advanced Driver Assistance System (ADAS) Performance Variability with Partial Overlap Targets ↗ · 2024 · Scally, Sean et al.
A neuroergonomics approach to driver’s cooperation with Lane Departure Warning Systems ↗ · 2024 · Schnebelen, Damien et al.
Advanced Driver Assistance System-Equipped Vehicle Datasets Collected in Central Ohio: Final Report · 2024 · Seitz, Timothy et al.
Effect of Advanced Driver Assistance Systems (ADAS) on Pedestrian Safety ↗ · 2024 · Sobti, Jaskiran et al.
Targeted Warning Messages to Protect Moving and Stationary Maintenance Lane Closures · 2024 · Soltani, Iman et al.
Accelerating the Adoption of Advanced Driver Assistance Systems (ADAS): “Tech-Celerate Now” Phase 1 · 2024 · Staples, Barbara et al.
Auditory Hazard Notifications in Intelligent Cockpits: The Impacts on Driver Trust and Workload during Automated Driving ↗ · 2024 · Su, Yizi et al.
The Impact of Advanced Driver-Assistance Systems (ADAS) on Road Safety in Nigeria ↗ · 2024 · Sule, Samaila Yerima et al.
Fatigue and distraction warning system for autonomous vehicle drivers in the process of three-level autonomous driving · 2024 · Sun, Haoran
Drowsiness Mitigation Through Driver State Monitoring Systems: A Scoping Review ↗ · 2024 · Ayas, Suzan et al.
Real-Time Safety Driving Advisory System Utilizing a Vision-Based Driving Monitoring Sensor ↗ · 2024 · TADA, Masahiro et al.
Enhancing Driver Awareness of Vulnerable Road Users through In-Vehicle Auditory Signals ↗ · 2024 · Takii, Kyoko et al.
A Lane Change Assistance System Based on Prediction of Driver Intention · 2024 · Tanshi, Foghor et al.