• About
  • Policies
  • What is open access
  • Library
  • Contact
Advanced search
      View Item 
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Mechanical Engineering
      • View Item
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Mechanical Engineering
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

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

      Thumbnail
      View / Download
      194.2 Kb
      Author(s)
      Li, N.
      Oyler, D.
      Zhang, M.
      Yıldız, Yıldıray
      Girard, A.
      Kolmanovsky, İ.
      Date
      2016
      Source Title
      Proceedings of the IEEE 55th Conference on Decision and Control, CDC 2016
      Publisher
      IEEE
      Pages
      727 - 733
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
      229
      views
      859
      downloads
      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 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.
      Keywords
      Automobiles
      Hidden Markov Model (HMM)
      Games
      Safety
      Predictive models
      Computational modeling
      Permalink
      http://hdl.handle.net/11693/37480
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/CDC.2016.7798354
      Collections
      • Department of Mechanical Engineering 373
      Show full item record

      Browse

      All of BUIRCommunities & CollectionsTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsCoursesThis CollectionTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsCourses

      My Account

      Login

      Statistics

      View Usage StatisticsView Google Analytics Statistics

      Bilkent University

      If you have trouble accessing this page and need to request an alternate format, contact the site administrator. Phone: (312) 290 2976
      © Bilkent University - Library IT

      Contact Us | Send Feedback | Off-Campus Access | Admin | Privacy