Hierarchical reasoning game theory based approach for evaluation and testing of autonomous vehicle control systems
Date
2016Source Title
Proceedings of the IEEE 55th Conference on Decision and Control, CDC 2016
Publisher
IEEE
Pages
727 - 733
Language
English
Type
Conference PaperItem Usage Stats
229
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859
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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.
Keywords
AutomobilesHidden Markov Model (HMM)
Games
Safety
Predictive models
Computational modeling