Social interactions for autonomous driving: A review and perspectives

W Wang, L Wang, C Zhang, C Liu… - Foundations and Trends …, 2022 - nowpublishers.com
No human drives a car in a vacuum; she/he must negotiate with other road users to achieve
their goals in social traffic scenes. A rational human driver can interact with other road users …

A comprehensive survey on multi-agent reinforcement learning for connected and automated vehicles

P Yadav, A Mishra, S Kim - Sensors, 2023 - mdpi.com
Connected and automated vehicles (CAVs) require multiple tasks in their seamless
maneuverings. Some essential tasks that require simultaneous management and actions …

Principles and guidelines for evaluating social robot navigation algorithms

A Francis, C Pérez-d'Arpino, C Li, F Xia, A Alahi… - arXiv preprint arXiv …, 2023 - arxiv.org
A major challenge to deploying robots widely is navigation in human-populated
environments, commonly referred to as social robot navigation. While the field of social …

A cooperative optimal control framework for connected and automated vehicles in mixed traffic using social value orientation

VA Le, AA Malikopoulos - 2022 IEEE 61st Conference on …, 2022 - ieeexplore.ieee.org
In this paper, we develop a socially cooperative optimal control framework to address the
motion planning problem for connected and automated vehicles (CAVs) in mixed traffic …

Socialmapf: Optimal and efficient multi-agent path finding with strategic agents for social navigation

R Chandra, R Maligi, A Anantula… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
We propose an extension to the MAPF formulation, called SocialMapf, to account for private
incentives of agents in constrained environments such as doorways, narrow hallways, and …

A safety-prioritized receding horizon control framework for platoon formation in a mixed traffic environment

AMI Mahbub, VA Le, AA Malikopoulos - Automatica, 2023 - Elsevier
Platoon formation with connected and automated vehicles (CAVs) in a mixed traffic
environment poses significant challenges due to the presence of human-driven vehicles …

Decentralized multi-robot social navigation in constrained environments via game-theoretic control barrier functions

R Chandra, V Zinage, E Bakolas, J Biswas… - arXiv preprint arXiv …, 2023 - arxiv.org
We present an approach to ensure safe and deadlock-free navigation for decentralized multi-
robot systems operating in constrained environments, including doorways and intersections …

Efficient speed planning for autonomous driving in dynamic environment with interaction point model

Y Chen, R Xin, J Cheng, Q Zhang, X Mei… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Safely interacting with other traffic participants is one of the core requirements for
autonomous driving, especially in intersections and occlusions. Most existing approaches …

Connected and automated vehicles in mixed-traffic: Learning human driver behavior for effective on-ramp merging

N Venkatesh, VA Le, A Dave… - 2023 62nd IEEE …, 2023 - ieeexplore.ieee.org
Highway merging scenarios featuring mixed traffic conditions pose significant modeling and
control challenges for connected and automated vehicles (CAVs) interacting with incoming …

Using graph-theoretic machine learning to predict human driver behavior

R Chandra, A Bera, D Manocha - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Studies have shown that autonomous vehicles (AVs) behave conservatively in a traffic
environment composed of human drivers and do not adapt to local conditions and socio …