Effects of pedestrian behavior, time pressure, and repeated exposure on crossing decisions in front of automated vehicles equipped with external communication

M Colley, E Bajrovic, E Rukzio - … of the 2022 CHI Conference on Human …, 2022 - dl.acm.org
Automated vehicles are expected to substitute driver-pedestrian communication via LED
strips or displays. This communication is expected to improve trust and the crossing process …

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 …

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 …

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 …

Intention-Aware Decision-Making for Mixed Intersection Scenarios

B Varga, D Yang, S Hohmann - 2023 IEEE 17th International …, 2023 - ieeexplore.ieee.org
This paper presents a white-box intention-aware decision-making for the handling of
interactions between a pedestrian and an automated vehicle (AV) in an unsignalized street …

A Game Theoretic Decision-Making Framework With Conflict-Aware Nash Equilibrium Selection for Autonomous Vehicles at Uncontrolled Intersections

Y Cao, X Zeng, Z Yin - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Uncontrolled intersections, as a typical urban traffic environment, are challenging scenarios
for autonomous driving due to the potential conflicts and lack of co-ordination between traffic …

A Hierarchical Forecasting Model of Pedestrian Crossing Behaviour for Autonomous Vehicle

G Yang, EJL Pulgarin, G Herrmann - IEEE Access, 2024 - ieeexplore.ieee.org
Simulation of pedestrians in shared spaces poses a significant challenge in autonomous
driving virtual testing. The simulation pedestrian model can respond to autonomous vehicle …

[PDF][PDF] Game theory proxemics and trust for self-driving car social navigation

F Camara, C Fox - IEEE …, 2022 - seanavbench.interactive-machines …
To navigate in human social spaces, self-driving cars and other robots must show social
intelligence. This involves predicting and planning around pedestrians, understanding their …

도심환경속판단보조를위한교통섬지형분할및객체분류

이동근, 함준혁, 한재윤, 임경일 - 제어로봇시스템학회논문지, 2021 - dbpia.co.kr
In the urban environment, terrains such as a “traffic island” are present for the convenience
and safety of pedestrians. However, such terrains cause decision errors in the autonomous …