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Safe Reinforcement Learning for Automated Vehicles
Safe Reinforcement Learning for Automated Vehicles
How Human-Machine Interaction keeps pace with Automated Vehicles
How Human-Machine Interaction keeps pace with Automated Vehicles: A systematic review
User Acceptance of Automated Vehicles in Public Transport
User Acceptance of Automated Vehicles in Public Transport
Take over! A video-clip study measuring attention, situation awareness, and decision-making in the face of an impending hazard
Take over! A video-clip study measuring attention, situation awareness, and decision-making in the face of an impending hazard
Automated Repair of Feature Interaction Failures in Automated Driving Systems
Automated Repair of Feature Interaction Failures in Automated Driving Systems
Comparative Safety Assessment of Automated Driving Strategies at Highway Merges in Mixed Traffic
Comparative Safety Assessment of Automated Driving Strategies at Highway Merges in Mixed Traffic
Validating SuperHuman Automated Driving Performance
Validating SuperHuman Automated Driving Performance
External Human-Machine Interfaces
External Human-Machine Interfaces: Which of 729 Colors Is Best for Signaling 'Please (Do not) Cross'?
Road Infrastructure Requirements for Improved Performance of Lane Assistance Systems
Road Infrastructure Requirements for Improved Performance of Lane Assistance Systems
External Human–Machine Interfaces Can Be Misleading
External Human–Machine Interfaces Can Be Misleading: An Examination of Trust Development and Misuse in a CAVE-Based Pedestrian Simulation Environment
Coupled simulator for research on the interaction between pedestrians and (automated) vehicles
Coupled simulator for research on the interaction between pedestrians and (automated) vehicles
A generic multi-level framework for microscopic traffic simulation with automated vehicles in mixed traffic
A generic multi-level framework for microscopic traffic simulation with automated vehicles in mixed traffic
Prediction of effort and eye movement measures from driving scene components
Prediction of effort and eye movement measures from driving scene components
External Human–Machine Interfaces
External Human–Machine Interfaces: The Effect of Display Location on Crossing Intentions and Eye Movements
Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars
Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countries
Measuring Driver Perception
Measuring Driver Perception: Combining Eye-Tracking and Automated Road Scene Perception
A Conceptual Control System Description of Cooperative and Automated Driving in Mixed Urban Traffic With Meaningful Human Control for Design and Evaluation
A Conceptual Control System Description of Cooperative and Automated Driving in Mixed Urban Traffic With Meaningful Human Control for Design and Evaluation
Governance cultures and sociotechnical imaginaries of self-driving vehicle technology
Governance cultures and sociotechnical imaginaries of self-driving vehicle technology: Comparative analysis of Finland, UK and Germany
External HumanMachine Interfaces on Autonomous Vehicles
External HumanMachine Interfaces on Autonomous Vehicles: The Effects of Information Type on Pedestrian Crossing Decisions
HUMAM
HUMAM: Hub for Urban Mobility for Amsterdam Metropolitan area
Searched for: subject%3A%22Automated%255C+driving%22
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