• DocumentCode
    181852
  • Title

    Graph-based context representation, environment modeling and information aggregation for automated driving

  • Author

    Ulbrich, S. ; Nothdurft, Tobias ; Maurer, M. ; Hecker, Peter

  • Author_Institution
    Inst. of Control Eng., Tech. Univ. Braunschweig, Braunschweig, Germany
  • fYear
    2014
  • fDate
    8-11 June 2014
  • Firstpage
    541
  • Lastpage
    547
  • Abstract
    The Stadtpilot project aims at fully automated driving on Braunschweig´s inner city ring road. The TU Braunschweig´s research vehicle Leonie is one of the first vehicles having the ability of fully automated driving in real urban traffic scenarios. In this paper, we present our approaches for context representation and environment modeling for automated driving. The demonstrated approach allows to provide a simple and yet universal information storage layer for the development of complex driving applications. Moreover, we present our approach for aggregating and fusing information between dynamic traffic objects detected by the sensor systems and a-priori map information.
  • Keywords
    graph theory; road traffic; Braunschweig research vehicle Leonie; Stadtpilot project; a-priori map information; automated driving; dynamic traffic objects; environment modeling; graph-based context representation; information aggregation; inner city ring road; real urban traffic scenarios; sensor systems; universal information storage layer; Abstracts; Context; Context modeling; Object oriented modeling; Roads; Semantics; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium Proceedings, 2014 IEEE
  • Conference_Location
    Dearborn, MI
  • Type

    conf

  • DOI
    10.1109/IVS.2014.6856556
  • Filename
    6856556