1 Ocak 2016 Konferans bildirisi Açık Erişim

Li, Nan; Oyler, Dave; Zhang, Mengxuan; Yildiz, Yildiray; Girard, Anouck; Kohnanovsky, Ilya

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        "affiliation": "Univ Michigan, Dept Aerosp Engn, 1320 Beal Ave, Ann Arbor, MI 48109 USA", 
        "name": "Li, Nan"
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      {
        "affiliation": "Univ Michigan, Dept Aerosp Engn, 1320 Beal Ave, Ann Arbor, MI 48109 USA", 
        "name": "Oyler, Dave"
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      {
        "affiliation": "Univ Michigan, Dept Aerosp Engn, 1320 Beal Ave, Ann Arbor, MI 48109 USA", 
        "name": "Zhang, Mengxuan"
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      {
        "affiliation": "Bilkent Univ, Dept Mech Engn, TR-06800 Ankara, Turkey", 
        "name": "Yildiz, Yildiray"
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      {
        "affiliation": "Univ Michigan, Dept Aerosp Engn, 1320 Beal Ave, Ann Arbor, MI 48109 USA", 
        "name": "Girard, Anouck"
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        "affiliation": "Univ Michigan, Dept Aerosp Engn, 1320 Beal Ave, Ann Arbor, MI 48109 USA", 
        "name": "Kohnanovsky, Ilya"
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    "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.", 
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    "title": "Hierarchical Reasoning Game Theory Based Approach for Evaluation and Testing of Autonomous Vehicle Control Systems"
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