Probabilistic online POMDP decision making for lane changes in fully automated driving

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. This paper shows the authors' decision making approach for performing lane changes while driving fully automated in urban environments. The authors apply an online Partially Observable Markov Decision Process (POMDP) to accommodate inevitable sensor noise to be faced in urban traffic scenarios. In this paper the authors propose a two step algorithm to keep the complexity of the POMDP low enough for real-time decision making while driving. The presented approach has been integrated in the authors' vehicle and was evaluated in real urban traffic.

Language

  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 2063-2067
  • Monograph Title: 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)

Subject/Index Terms

Filing Info

  • Accession Number: 01563265
  • Record Type: Publication
  • ISBN: 9781479929146
  • Files: TRIS
  • Created Date: May 18 2015 11:01AM