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

dc.citation.epage733en_US
dc.citation.spage727en_US
dc.contributor.authorLi, N.en_US
dc.contributor.authorOyler, D.en_US
dc.contributor.authorZhang, M.en_US
dc.contributor.authorYıldız, Yıldırayen_US
dc.contributor.authorGirard, A.en_US
dc.contributor.authorKolmanovsky, İ.en_US
dc.coverage.spatialLas Vegas, NV, USAen_US
dc.date.accessioned2018-04-12T11:41:19Z
dc.date.available2018-04-12T11:41:19Z
dc.date.issued2016en_US
dc.departmentDepartment of Mechanical Engineeringen_US
dc.descriptionDate of Conference: 12-14 December 2016en_US
dc.descriptionConference Name: IEEE 55th Conference on Decision and Control, CDC 2016en_US
dc.description.abstractA 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.en_US
dc.description.provenanceMade available in DSpace on 2018-04-12T11:41:19Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 179475 bytes, checksum: ea0bedeb05ac9ccfb983c327e155f0c2 (MD5) Previous issue date: 2016en
dc.identifier.doi10.1109/CDC.2016.7798354en_US
dc.identifier.urihttp://hdl.handle.net/11693/37480en_US
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/CDC.2016.7798354en_US
dc.source.titleProceedings of the IEEE 55th Conference on Decision and Control, CDC 2016en_US
dc.subjectAutomobilesen_US
dc.subjectHidden Markov Model (HMM)en_US
dc.subjectGamesen_US
dc.subjectSafetyen_US
dc.subjectPredictive modelsen_US
dc.subjectComputational modelingen_US
dc.titleHierarchical reasoning game theory based approach for evaluation and testing of autonomous vehicle control systemsen_US
dc.typeConference Paperen_US

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