Free Space Detection: A Corner Stone of Automated Driving

Increasingly complex automated driving functions require ever more accurate environment models. If relevant information is missing, automated vehicle control may induce safety risks. In this paper, the authors describe a joint development of BMW and Continental used to ensure the safety of advanced driver assistance systems. The authors demonstrate free space detection (FSD) carried out on a stereo vision system and show how it contributes to a number of use cases in high-level driver assistance functionality. One major challenge is the diversity of requirements by various functions and the authors show how confidence estimation is key to serving them in parallel. Moreover, the authors demonstrate a novel semi-automatic validation procedure for the generation of ground truth data in order to assess FSD performance in real-world driving scenarios.


  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 1280-1285
  • Monograph Title: 18th International IEEE Conference on Intelligent Transportation Systems (ITSC 2015)

Subject/Index Terms

Filing Info

  • Accession Number: 01599812
  • Record Type: Publication
  • ISBN: 9781467365956
  • Files: TRIS
  • Created Date: May 2 2016 3:23PM