Empirical game theory of pedestrian interaction for autonomous vehicles

F Camara, R Romano, G Markkula… - Proceedings of …, 2018 - eprints.whiterose.ac.uk
Autonomous vehicles (AV's) are appearing on roads, based on standard robotic mapping
and navigation algorithms. However their ability to interact with other road-users is much …

A data-driven markovian framework for multi-agent pedestrian collision risk prediction

A Toytziaridis, P Falcone… - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
Efficient travel with an Autonomus Vehicle (AV) through urban traffic scenes requires the AV
to plan its path as a function of the risk of collision with nearby road users. We propose a …

Autonomous vehicle with communicative driving for pedestrian crossing: Trajectory optimization

M Zhang, A Abbas-Turki, A Lombard… - 2020 IEEE 23rd …, 2020 - ieeexplore.ieee.org
Connected and autonomous vehicles (CAV) is a key technology for this century. One of the
main challenges is to define a smart interaction behavior of CAV with the other road users …

Implicit communication of automated vehicles in urban scenarios: Effects of pitch and deceleration on pedestrian crossing behavior

A Dietrich, P Maruhn, L Schwarze, K Bengler - … Systems Engineering and …, 2020 - Springer
This Study analyzed the effects of AV's approach trajectories and the role of the vehicle's
pitch on pedestrian's crossing behavior. 30 participants experienced an urban traffic …

Towards game theoretic AV controllers: measuring pedestrian behaviour in virtual reality

F Camara, P Dickinson, N Merat… - … of TCV2019: Towards …, 2019 - eprints.whiterose.ac.uk
Understanding pedestrian interaction is of great importance for autonomous vehicles (AVs).
The present study investigates pedestrian behaviour during crossing scenarios with an …

Personal mobility vehicle autonomous navigation through pedestrian flow: A data driven approach for parameter extraction

Y Morales, N Akai, H Murase - 2018 IEEE/RSJ International …, 2018 - ieeexplore.ieee.org
In this paper we present a data driven approach for safe and smooth autonomous navigation
of a personal mobility vehicle (PMV) when facing moving obstacles such as people and …

Communicating intent on the road through human-inspired control schemes

K Driggs-Campbell, R Bajcsy - 2016 IEEE/RSJ International …, 2016 - ieeexplore.ieee.org
Given the current capabilities of autonomous vehicles, one can easily imagine autonomy
released on the road in the near future. However, it can be assumed that the transition will …

Anticipating Collisions, Navigating in Complex Environments, Elbowing, Pushing, and Smartphone-Walking: A Versatile Agent-Based Model for Pedestrian Dynamics

I Echeverría-Huarte, A Nicolas - arXiv preprint arXiv:2211.03419, 2022 - arxiv.org
Compared to other self-propelled particles, pedestrians are able to anticipate, which gives
them an edge in avoiding collisions and navigating in cluttered spaces. These capabilities …

Generating visibility-aware trajectories for cooperative and proactive motion planning

N Buckman, A Pierson, S Karaman… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
The safety of an autonomous vehicle not only depends on its own perception of the world
around it, but also on the perception and recognition from other vehicles. If an ego vehicle …

Top-view trajectories: A pedestrian dataset of vehicle-crowd interaction from controlled experiments and crowded campus

D Yang, L Li, K Redmill… - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
Predicting the collective motion of a group of pedestrians (a crowd) under the vehicle
influence is essential for the development of autonomous vehicles to deal with mixed urban …