1 Ocak 2016 Konferans bildirisi Açık Erişim

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

Dublin Core

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  <dc:creator>Li, Nan</dc:creator>
  <dc:creator>Oyler, Dave</dc:creator>
  <dc:creator>Zhang, Mengxuan</dc:creator>
  <dc:creator>Yildiz, Yildiray</dc:creator>
  <dc:creator>Girard, Anouck</dc:creator>
  <dc:creator>Kohnanovsky, Ilya</dc:creator>
  <dc:date>2016-01-01</dc:date>
  <dc: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.</dc:description>
  <dc:identifier>https://aperta.ulakbim.gov.trrecord/57969</dc:identifier>
  <dc:identifier>oai:zenodo.org:57969</dc:identifier>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://www.opendefinition.org/licenses/cc-by</dc:rights>
  <dc:title>Hierarchical Reasoning Game Theory Based Approach for Evaluation and Testing of Autonomous Vehicle Control Systems</dc:title>
  <dc:type>info:eu-repo/semantics/conferencePaper</dc:type>
  <dc:type>publication-conferencepaper</dc:type>
</oai_dc:dc>