Advertisement

Intelligence in the Automobile of the Future

  • Arne Bartels
  • Thomas Ruchatz
  • Stefan Brosig
Chapter

Abstract

One trend that has been apparent in the automobile market over recent years is that more and more new vehicles from an ever-increasing number of manufacturers have been available with driver assistance systems. Most of these driver assistance systems relieve the driver of simple measuring and control tasks. Intelligence in the vehicle, however, means more than just measuring and controlling. The vehicle has got to acquire information, arrive at an interpretation and establish contextual interconnections. To do this, it needs contextual information and action options. This chapter presents an architecture for vehicle assistance systems in order to acquire, process, and evaluate environmental data, thereby bringing the objective within reach. Also, it presents certain selected projects by Volkswagen Group Research in the area of automated driving which are based on this architecture for environment perception.

Keywords

Intelligent automobile Driver assistance systems Environment perception Sensor data fusion Situation interpretation Automated driving DARPA urban challenge 

References

  1. 1.
    S. Thrun et al., Stanley: the robot that won the DARPA grand challenge. J Field Robot 23(9), 661–692 (2006)CrossRefGoogle Scholar
  2. 2.
    M. Montemerlo et al., Junior: the Stanford entry in the urban challenge. J Field Robot 25(9), 569–597 (2008)CrossRefGoogle Scholar
  3. 3.
    A. Weiser et al., in Intelligent car, Teilautomatisches Fahren auf der Autobahn, Proceedings of 10th symposium on automation systems, assistance systems and embedded systems for trans-portation (AAET), Braunschweig (2009), p. 11–26, ISBN 978-3-937655-19-2Google Scholar
  4. 4.
    A. Weiser, in A probabilistic lane change prediction module for highly automated driving, Proceedings of 7th international workshop on intelligent transportation (WIT), Hamburg, 2009Google Scholar
  5. 5.
    S. Steinmeyer, in Modulare Sensordatenfusions-Architektur am Beispiel des “Temporary Auto Pilot”, Proceedings of 11th symposium on automation systems, assistance systems and embedded systems for transportation (AAET), Braunschweig (2010), p. 89–104, ISBN 978-3-937655-23-9Google Scholar
  6. 6.
    S. Steinmeyer et al., in Dynamische Bestimmung von Existenz- und Relevanzwahrschein- lichkeiten für Umfeldobjekte, 26. VDI/VW joint symposium on driver assistance and integrated safety, Wolfsburg (2010), ISBN 978-3-18-092104-4Google Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Group Research, Driver Assistance and Integrated Safety, Volkswagen AGWolfsburgGermany

Personalised recommendations