Planning for Autonomous Driving via Interaction-Aware Probabilistic Action Policies

Devising planning algorithms for autonomous driving is non-trivial due to the presence of complex and uncertain interaction dynamics between road users. In this paper, we introduce a planning framework encompassing multiple action policies that are learned jointly from episodes of human-human intera...

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Bibliographic Details
Main Authors: Salar Arbabi, Davide Tavernini, Saber Fallah, Richard Bowden
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9837917/