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

Li, N.Oyler, D.Zhang, M.Yıldız, YıldırayGirard, A.Kolmanovsky, İ.2018-04-122018-04-122016http://hdl.handle.net/11693/37480Date of Conference: 12-14 December 2016Conference Name: IEEE 55th Conference on Decision and Control, CDC 2016A 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.EnglishAutomobilesHidden Markov Model (HMM)GamesSafetyPredictive modelsComputational modelingHierarchical reasoning game theory based approach for evaluation and testing of autonomous vehicle control systemsConference Paper10.1109/CDC.2016.7798354