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Li, Nan; Oyler, Dave; Zhang, Mengxuan; Yildiz, Yildiray; Girard, Anouck; Kohnanovsky, Ilya
{ "@context": "https://schema.org/", "@id": 57969, "@type": "ScholarlyArticle", "creator": [ { "@type": "Person", "affiliation": "Univ Michigan, Dept Aerosp Engn, 1320 Beal Ave, Ann Arbor, MI 48109 USA", "name": "Li, Nan" }, { "@type": "Person", "affiliation": "Univ Michigan, Dept Aerosp Engn, 1320 Beal Ave, Ann Arbor, MI 48109 USA", "name": "Oyler, Dave" }, { "@type": "Person", "affiliation": "Univ Michigan, Dept Aerosp Engn, 1320 Beal Ave, Ann Arbor, MI 48109 USA", "name": "Zhang, Mengxuan" }, { "@type": "Person", "affiliation": "Bilkent Univ, Dept Mech Engn, TR-06800 Ankara, Turkey", "name": "Yildiz, Yildiray" }, { "@type": "Person", "affiliation": "Univ Michigan, Dept Aerosp Engn, 1320 Beal Ave, Ann Arbor, MI 48109 USA", "name": "Girard, Anouck" }, { "@type": "Person", "affiliation": "Univ Michigan, Dept Aerosp Engn, 1320 Beal Ave, Ann Arbor, MI 48109 USA", "name": "Kohnanovsky, Ilya" } ], "datePublished": "2016-01-01", "description": "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 Stackel-berg 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.", "headline": "Hierarchical Reasoning Game Theory Based Approach for Evaluation and Testing of Autonomous Vehicle Control Systems", "identifier": 57969, "image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg", "license": "http://www.opendefinition.org/licenses/cc-by", "name": "Hierarchical Reasoning Game Theory Based Approach for Evaluation and Testing of Autonomous Vehicle Control Systems", "url": "https://aperta.ulakbim.gov.tr/record/57969" }
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