Cross-Linking Driver Assistance Systems Via Centralized Scene Interpretation Using The Example Of Directional Roadway Detection

  • Markus Hörwick
  • Loren Schwarz
  • Stefan Holder
  • Martin Buchner
  • Hariolf Gentner
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 200)


Modern automobiles are increasingly equipped with Advanced Driver Assistance Systems (ADAS), which improve passenger safety and comfort. Each of these ADAS can rely on a multitude of environmental sensors, which creates the need of cross-linking ADAS with respect to their access to environment information. This idea is reflected in the so-called environment model (EM) that centralizes the access of all ADAS functions to the perceived but not yet interpreted scene in the vehicle environment. In this paper, we propose an architectural framework that concretizes the EM in terms of separate modules for signal processing and sensor data fusion, as well as well-defined generic input and output interfaces. Moreover, we extend the EM by including additional components and output interfaces for centralized scene interpretation (CSI). The architectural framework allows streamlining the development process and increasing computational efficiency, as software modules for scene interpretation can be shared among multiple ADAS. In addition, the consistency of the overall ADAS behavior is improved, as all ADAS functions rely on the same scene information and scene interpretation. We illustrate our concept of centralized scene interpretation using the case study of a module for the detection of directional roadways, a generalization of motorways. The algorithm we present analyzes multiple perceptual indicators in favor or against a directional roadway and computes an overall decision, along with a foresight value for the expected duration of the directional roadway, to be used in various ADAS functions.


Driver assistance systems Environment model System architecture Scene interpretation Directional roadway detection 


  1. 1.
    BMW AG Active PDC and remote controlled parking., Accessed on 31/05/2012
  2. 2.
    Schaller T (2009) Congestion assistance—supporting the driver in lateral and longitudinal guidance in congestion situations. Dissertation at Technical University of Munich, Garching, 2009Google Scholar
  3. 3.
    BMW AG Traffic jam and queuing assistant. Accessed on 31/05/2012
  4. 4.
    BMW AG Lateral collision avoidance. = article&id = 70. Accessed on 05/31/2012
  5. 5.
    Hörwick M (2011) Safety concept for highly automated driver assistance systems. Dissertation at Technical University of Munich, Garching, 2011Google Scholar
  6. 6.
    Holder S, Hörwick M, Gentner H (2012) Funktionsübergreifende Szeneninterpretation zur Vernetzung von Fahrerassistenzsystemen. Braunschweiger Symposium Automatisierungssysteme, Assistenzsysteme und eingebettete Systeme für Transportmittel (AAET)Google Scholar
  7. 7.
    Maurer M (2000) Flexible Automatisierung von Straßenfahrzeugen mit Rechnersehen. Dissertation at University of Bundeswehr München, Neubiberg, 2000Google Scholar
  8. 8.
    Schöttle M (2011) Zukunft der Fahrerassistenz mit neuen E/E-Architekturen. ATZ Elektronik, 4/2011Google Scholar
  9. 9.
    Tsogas M, Polychronopoulos A, Amditis A (2007) Using digital maps to enhance lane keeping support systems. In: IEEE intelligent vehicles symposium (IV), Istanbul, 2007Google Scholar
  10. 10.
    Gackstatter C, Heinemann P, Thomas S, Rosenhahn B, Klinker G (2010) Fusion of clothoid segments for a more accurate and updated prediction of the road geometry. In: IEEE conference on intelligent transportation systems (ITSC), Madeira, 2010Google Scholar
  11. 11.
    Stählin U, Schorn M, Isermann R (2006) Notausweichen für ein Fahrerassistenzsystem zur Unfallvermeidung. Wiesloch, Fachtagung Steuerung und Regelung von Kraftfahrzeugen und Verbrennungsmotoren (AUTOREG)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Markus Hörwick
    • 1
  • Loren Schwarz
    • 1
  • Stefan Holder
    • 2
  • Martin Buchner
    • 1
  • Hariolf Gentner
    • 1
  1. 1.BMW AGMunichGermany
  2. 2.BMW Car IT GmbHMunichGermany

Personalised recommendations