Hierarchical reasoning game theory based approach for evaluation and testing of autonomous vehicle control systems

Series

Abstract

A hierarchical game theoretic decision making framework is exploited to model driver decisions and interactions in traffic. In this paper, we apply this framework to develop a simulator to evaluate various existing autonomous driving algorithms. Specifically, two algorithms, based on Stackelberg policies and decision trees, are quantitatively compared in a traffic scenario where all the human-driven vehicles are modeled using the presented game theoretic approach.

Source Title

Proceedings of the IEEE 55th Conference on Decision and Control, CDC 2016

Publisher

IEEE

Course

Other identifiers

Book Title

Degree Discipline

Degree Level

Degree Name

Citation

Published Version (Please cite this version)

Language

English