380.256 PEOPLE
| People | Locations | Statistics |
|---|---|---|
| Seuring, Stefan |
| |
| Nor Azizi, S. |
| |
| Pato, Margarida Vaz |
| |
| Kölker, Katrin |
| |
| Huber, Oliver |
| |
| Király, Tamás |
| |
| Spengler, Thomas Stefan |
| |
| Al-Ammar, Essam A. |
| |
| Dargahi, Fatemeh |
| |
| Mota, Rui |
| |
| Mazalan, Nurul Aliah Amirah |
| |
| Macharis, Cathy | Brussels |
|
| Arunasari, Yova Tri |
| |
| Nunez, Alfredo | Delft |
|
| Bouhorma, Mohammed |
| |
| Bonato, Matteo |
| |
| Fitriani, Ira |
| |
| Autor Correspondente Coelho, Sílvia. |
| |
| Pond, Stephen |
| |
| Okwara, Ukoha Kalu |
| |
| Toufigh, Vahid |
| |
| Campisi, Tiziana | Enna |
|
| Ermolieva, Tatiana |
| |
| Sánchez-Cambronero, Santos |
| |
| Agzamov, Akhror |
|
Merat, Natasha
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (61/61 displayed)
- 2024Conceptualising user comfort in automated drivingcitations
- 2023Human-like decision making and motion control for smooth and natural car followingcitations
- 2023Augmented reality interfaces for pedestrian-vehicle interactionscitations
- 2023Exploring user comfort in automated driving: A qualitative study with younger and older users using the Wizard-Of-Oz method
- 2023Using pupillometry and gaze-based metrics for understanding drivers’ mental workload during automated drivingcitations
- 2023Augmented reality interfaces for pedestrian-vehicle interactions: An online studycitations
- 2023Deceleration parameters as implicit communication signals for pedestrians' crossing decisions and estimations of automated vehicle behaviourcitations
- 2023Cross or Wait? Predicting Pedestrian Interaction Outcomes at Unsignalized Crossings
- 2022Explaining unsafe pedestrian road crossing behaviours using a psychophysics-based gap acceptance modelcitations
- 2022Profiling the Enthusiastic, Neutral, and Sceptical Users of Conditionally Automated Cars in 17 Countries: A Questionnaire Studycitations
- 2022Profiling the Enthusiastic, Neutral, and Sceptical Users of Conditionally Automated Cars in 17 Countries: A Questionnaire Studycitations
- 2022Augmented reality concepts for pedestrian-vehicle interactions: An online study
- 2022Physiological indicators of driver workload during car-following scenarios and takeovers in highly automated drivingcitations
- 2022Profiling the Enthusiastic, Neutral, and Sceptical Users of Conditionally Automated Cars in 17 Countries:A Questionnaire Studycitations
- 2022Impacts of visual and cognitive distractions and time pressure on pedestrian crossing behaviour: A simulator studycitations
- 2022Effect of environmental factors and individual differences on subjective evaluation of human-like and conventional automated vehicle controllerscitations
- 2022Drivers’ evaluation of different automated driving styles: is it both comfortable and natural?citations
- 2022Explaining human interactions on the road requires large-scale integration of psychological theorycitations
- 2021Are multimodal travellers going to abandon sustainable travel for L3 automated vehicles?citations
- 2021Vulnerable road users and the coming wave of automated vehicles:Expert perspectivescitations
- 2021Vulnerable road users and the coming wave of automated vehicles: Expert perspectivescitations
- 2021Towards future pedestrian-vehicle interactionscitations
- 2021Drivers’ Intentions to Use Different Functionalities of Conditionally Automated Cars: A Survey Study of 18,631 Drivers from 17 Countriescitations
- 2021Will pedestrians cross the road before an automated vehicle?: The effect of drivers’ attentiveness and presence on pedestrians’ road crossing behaviorcitations
- 2021Road users rarely use explicit communication when interacting in today’s traffic : implications for automated vehiclescitations
- 2021Towards future pedestrian-vehicle interactions: Introducing theoretically-supported AR prototypescitations
- 2021An Overview of Interfaces for Automated Vehicles (inside/outside) (Deliverable D2.1 in the H2020 MSCA ITN project SHAPE-IT)
- 2021Learning to interpret novel eHMIcitations
- 2021Vulnerable road users and the coming wave of automated vehiclescitations
- 2021Drivers’ intentions to use different functionalities of conditionally automated cars:A survey study of 18,631 drivers from 17 countriescitations
- 2021Will pedestrians cross the road before an automated vehicle?citations
- 2020Applying the FESTA methodology to automated driving pilots
- 2020External Human–Machine Interfaces Can Be Misleadingcitations
- 2020Interrelationships among predictors of automated vehicle acceptancecitations
- 2020Deriving metrics of driving comfort for autonomous vehicles: A dynamic latent variable model of speed choicecitations
- 2020Vehicle-pedestrian interaction
- 2020Continuous Game Theory Pedestrian Modelling Method for Autonomous Vehicles
- 2020External Human–Machine Interfaces Can Be Misleading: An Examination of Trust Development and Misuse in a CAVE-Based Pedestrian Simulation Environmentcitations
- 2020Road users rarely use explicit communication when interacting in today’s traffic: implications for automated vehiclescitations
- 2020Road users rarely use explicit communication when interacting in today’s traffic: implications for automated vehiclescitations
- 2020Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behaviorcitations
- 2020Defining interactions: a conceptual framework for understanding interactive behaviour in human and automated road trafficcitations
- 2020Interrelationships among predictors of automated vehicle acceptance: a structural equation modelling approachcitations
- 2020Achieving Driving Comfort of AVs by Combined Longitudinal and Lateral Motion Controlcitations
- 2020Measuring Drivers’ Physiological Response to Different Vehicle Controllers in Highly Automated Driving (HAD): Opportunities for Establishing Real-Time Values of Driver Discomfortcitations
- 2020Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countriescitations
- 2020Examining Pedestrian-Autonomous Vehicle Interactions in Virtual Reality
- 2020Road users rarely use explicit communication when interacting in today’s traffic:implications for automated vehiclescitations
- 2020Gaze-based Intention Anticipation over Driving Manoeuvres in Semi-Autonomous Vehiclescitations
- 2020Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) carscitations
- 2019A heuristic model for pedestrian intention estimationcitations
- 2019Testing external HMI designs for automated vehicles – An overview on user study results from the EU project interACT
- 2019Driver-centred Autonomous Vehicle Motion Control within A Blended Corridorcitations
- 2018From Research Questions to Logging Requirements
- 2018Filtration analysis of pedestrian-vehicle interactions for autonomous vehicles control
- 2018Empirical game theory of pedestrian interaction for autonomous vehicles
- 2018From Research Questions to Logging Requirements:L3Pilot Deliverable D3.1
- 2017User acceptance of driverless shuttles running in an open and mixed traffic environment
- 2016STRIA Roadmap - CONNECTED AND AUTOMATED TRANSPORT (CAT)
- 2010Specification of test procedures for the simulator experiments
- 2004The effect of age on driving with tow surrogate IVIS tasks
Places of action
| Organizations | Location | People |
|---|