Social interactions for autonomous driving: A review and perspectives
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 …
their goals in social traffic scenes. A rational human driver can interact with other road users …
A survey on socially aware robot navigation: Taxonomy and future challenges
PT Singamaneni, P Bachiller-Burgos… - … Journal of Robotics …, 2024 - journals.sagepub.com
Socially aware robot navigation is gaining popularity with the increase in delivery and
assistive robots. The research is further fueled by a need for socially aware navigation skills …
assistive robots. The research is further fueled by a need for socially aware navigation skills …
Social coordination and altruism in autonomous driving
Despite the advances in the autonomous driving domain, autonomous vehicles (AVs) are
still inefficient and limited in terms of cooperating with each other or coordinating with …
still inefficient and limited in terms of cooperating with each other or coordinating with …
Robustness and adaptability of reinforcement learning-based cooperative autonomous driving in mixed-autonomy traffic
Building autonomous vehicles (AVs) is a complex problem, but enabling them to operate in
the real world where they will be surrounded by human-driven vehicles (HVs) is extremely …
the real world where they will be surrounded by human-driven vehicles (HVs) is extremely …
[HTML][HTML] Multi-agent reinforcement learning for autonomous vehicles: A survey
In the near future, autonomous vehicles (AVs) may cohabit with human drivers in mixed
traffic. This cohabitation raises serious challenges, both in terms of traffic flow and individual …
traffic. This cohabitation raises serious challenges, both in terms of traffic flow and individual …
Deploying traffic smoothing cruise controllers learned from trajectory data
Autonomous vehicle-based traffic smoothing con-trollers are often not transferred to real-
world use due to challenges in calibrating many-agent traffic simulators. We show a pipeline …
world use due to challenges in calibrating many-agent traffic simulators. We show a pipeline …
Intelligent cooperative collision avoidance at overtaking and lane changing maneuver in 6G-V2X communications
SB Prathiba, G Raja, N Kumar - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The rapid growth in Autonomous Vehicle (AV) technology endeavors increased attention
towards road safety in recent days. Particularly, a higher number of road accidents occurs …
towards road safety in recent days. Particularly, a higher number of road accidents occurs …
[HTML][HTML] A comprehensive survey on multi-agent reinforcement learning for connected and automated vehicles
Connected and automated vehicles (CAVs) require multiple tasks in their seamless
maneuverings. Some essential tasks that require simultaneous management and actions …
maneuverings. Some essential tasks that require simultaneous management and actions …
Review of decision-making and planning approaches in automated driving
F Garrido, P Resende - IEEE Access, 2022 - ieeexplore.ieee.org
The number of research papers on decision-making systems in automated driving has
increased significantly over the last few years. Decision-making for automated driving can …
increased significantly over the last few years. Decision-making for automated driving can …
Error-Driven Information-Passing Policy for Model-based Position Tracking in Vehicular Networks
A Raftari, M Razzaghpour… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The emerging Vehicle-to-Everything (V2X) communication technologies, ie Dedicated Short-
Range Communications (DSRC) and Cellular-V2X (C-V2X), enhance the performance of …
Range Communications (DSRC) and Cellular-V2X (C-V2X), enhance the performance of …