[PDF][PDF] Planning for autonomous cars that leverage effects on human actions.
Traditionally, autonomous cars make predictions about other drivers' future trajectories, and
plan to stay out of their way. This tends to result in defensive and opaque behaviors. Our key …
plan to stay out of their way. This tends to result in defensive and opaque behaviors. Our key …
On the road with an autonomous passenger shuttle: Integration in public spaces
G Eden, B Nanchen, R Ramseyer… - Proceedings of the 2017 …, 2017 - dl.acm.org
The integration of autonomous vehicles (AVs) onto public roads presents both technical and
social challenges. Public understanding and acceptance of AVs requires engagement with …
social challenges. Public understanding and acceptance of AVs requires engagement with …
Cooperative automated vehicles: A review of opportunities and challenges in socially intelligent vehicles beyond networking
SW Loke - IEEE Transactions on Intelligent Vehicles, 2019 - ieeexplore.ieee.org
The connected automated vehicle has been often touted as a technology that will become
pervasive in society in the near future. One can view an automated vehicle as having …
pervasive in society in the near future. One can view an automated vehicle as having …
Negotiating the traffic: Can cognitive science help make autonomous vehicles a reality?
To drive safely among human drivers, cyclists and pedestrians, autonomous vehicles will
need to mimic, or ideally improve upon, humanlike driving. Yet, driving presents us with …
need to mimic, or ideally improve upon, humanlike driving. Yet, driving presents us with …
Autonomous vehicle-target assignment: A game-theoretical formulation
We consider an autonomous vehicle-target assignment problem where a group of vehicles
are expected to optimally assign themselves to a set of targets. We introduce a game …
are expected to optimally assign themselves to a set of targets. We introduce a game …
Harmonious lane changing via deep reinforcement learning
In this paper, we study how to learn a harmonious deep reinforcement learning (DRL) based
lane-changing strategy for autonomous vehicles without Vehicle-to-Everything (V2X) …
lane-changing strategy for autonomous vehicles without Vehicle-to-Everything (V2X) …
Psychological roadblocks to the adoption of self-driving vehicles
Self-driving cars offer a bright future, but only if the public can overcome the psychological
challenges that stand in the way of widespread adoption. We discuss three: ethical …
challenges that stand in the way of widespread adoption. We discuss three: ethical …
Multipolicy decision-making for autonomous driving via changepoint-based behavior prediction: Theory and experiment
This paper reports on an integrated inference and decision-making approach for
autonomous driving that models vehicle behavior for both our vehicle and nearby vehicles …
autonomous driving that models vehicle behavior for both our vehicle and nearby vehicles …