1 Ocak 2016 Konferans bildirisi Açık Erişim

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

Citation Style Language JSON

{
  "URL": "https://aperta.ulakbim.gov.tr/record/57969", 
  "abstract": "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.", 
  "author": [
    {
      "family": "Li", 
      "given": " Nan"
    }, 
    {
      "family": "Oyler", 
      "given": " Dave"
    }, 
    {
      "family": "Zhang", 
      "given": " Mengxuan"
    }, 
    {
      "family": "Yildiz", 
      "given": " Yildiray"
    }, 
    {
      "family": "Girard", 
      "given": " Anouck"
    }, 
    {
      "family": "Kohnanovsky", 
      "given": " Ilya"
    }
  ], 
  "id": "57969", 
  "issued": {
    "date-parts": [
      [
        2016, 
        1, 
        1
      ]
    ]
  }, 
  "title": "Hierarchical Reasoning Game Theory Based Approach for Evaluation and Testing of Autonomous Vehicle Control Systems", 
  "type": "paper-conference"
}