Evaluating pedestrian interaction preferences with a game theoretic autonomous vehicle in virtual reality

F Camara, P Dickinson, C Fox - … research part F: traffic psychology and …, 2021 - Elsevier
Localisation and navigation of autonomous vehicles (AVs) in static environments are now
solved problems, but how to control their interactions with other road users in mixed traffic …

[HTML][HTML] Inferring vehicle spacing in urban traffic from trajectory data

Y Jiao, SC Calvert, S Van Cranenburgh… - … research part C: emerging …, 2023 - Elsevier
This study presents a new method to infer the average two-dimensional (2D) spacing
between interacting vehicles in urban traffic from trajectory data. In this context, 2D spacing …

Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space

M Golchoubian, M Ghafurian… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Safe, socially compliant, and efficient navigation of low-speed autonomous vehicles (AVs) in
pedestrian-rich environments necessitates considering pedestrians' future positions and …

It's not my fault, but I'm to blame: The effect of a home robot's attribution and approach movement on trust and emotion of users

G Na, J Choi, H Kang - International Journal of Human–Computer …, 2024 - Taylor & Francis
This study investigated the effect of attribution and approach movement of the social robot
when the user wrongly perceives an error as the robot's responsibility. The robot's …

Unfreezing autonomous vehicles with game theory, proxemics, and trust

F Camara, C Fox - Frontiers in Computer Science, 2022 - frontiersin.org
Recent years have witnessed the rapid deployment of robotic systems in public places such
as roads, pavements, workplaces and care homes. Robot navigation in environments with …

Deviant behavior of pedestrians: a risk gamble or just against automated vehicles? How about social control?

H Şahin, S Hemesath, S Boll - Frontiers in Robotics and AI, 2022 - frontiersin.org
Recent evidence suggests that the assumed conflict-avoidant programming of autonomous
vehicles will incentivize pedestrians to bully them. However, this frequent argument …

[HTML][HTML] A Unified Probabilistic Approach to Traffic Conflict Detection

Y Jiao, SC Calvert - Analytic Methods in Accident Research, 2024 - Elsevier
Traffic conflict detection is essential for proactive road safety by identifying potential
collisions before they occur. Existing methods rely on surrogate safety measures tailored to …

Extending quantitative proxemics and trust to HRI

F Camara, C Fox - 2022 31st IEEE International Conference on …, 2022 - ieeexplore.ieee.org
Human-robot interaction (HRI) requires quantitative models of proxemics and trust for robots
to use in negotiating with people for space. Hall's theory of proxemics has been used for …

Driver-pedestrian interactions at unsignalized crossings are not in line with the Nash equilibrium

AH Kalantari, Y Yang, YM Lee, N Merat… - IEEE Access, 2023 - ieeexplore.ieee.org
Recent developments in vehicle automation require simulations of human-robot interactions
in the road traffic context, which can be achieved by computational models of human …

Openpodcar: An open source vehicle for self-driving car research

F Camara, C Waltham, G Churchill, C Fox - arXiv preprint arXiv …, 2022 - arxiv.org
OpenPodcar is a low-cost, open source hardware and software, autonomous vehicle
research platform based on an off-the-shelf, hard-canopy, mobility scooter donor vehicle …