A Decision-Making Model for Autonomous Vehicles Considering Pedestrian’s Time Pressure Based on Game Theory and Reinforcement Learning

A Decision-Making Model for Autonomous Vehicles Considering Pedestrian’s Time Pressure Based on Game Theory and Reinforcement Learning

Due to the obvious randomness, pedestrian crossing behavior is hard to predict, which challenges the decision-making of autonomous vehicles (AVs). Recent solutions have been able to adapt to structured road scenes with crossing signals or markings. However, there is still a gap in extending the pede...

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Bibliographic Details
Main Authors: Qing-Feng Lin, Heng-Yu Xue, Yang Lyu, Qing-Kun Li, Ju-Shang Ou
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Autonomous vehicle
decision-making
pedestrian-vehicle interaction
time pressure
unstructured roads
Online Access:https://ieeexplore.ieee.org/document/10985827/
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