Skip to main content
SpringerLink
Log in

Active Safety Towards Highly Automated Driving

  • Chapter
  • First Online:
Automated Driving

Abstract

Highly Automated Driving (HAD) opens up new middle-term perspectives in mobility and is, therefore, currently one of the main goal in the development of future vehicles. In particular, premium manufacturers, such as the BMW Group, put Highly Automated Driving at the top of the roadmap. This chapter details the motivation behind Highly Automated Driving from a road safety perspective. Assessing the effect of HAD functions on road safety is essential for the homologation of such complex systems. New methods are needed to enable the assessment of complex driving functions and demonstrate the increase in road safety. This problem will be considered and to a possible approach will be referred. Furthermore, the additional (indirect) safety benefit will be described through the usage of HAD technology to improve Active Safety Systems.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Notes

  1. 1.

    Active Safety Systems in this chapter are systems which provide information to the driver or intervene in the vehicle control.

References

  1. T.M. Gasser, D. Westhoff, BASt-Study: Definitions of Automation and Legal Issues in Germany, German Federal Highway Research Institute, 2012

    Google Scholar 

  2. D. Damböck, M. Farid, L. Tönert, K. Bengler, Übernahmezeiten beim hochautomatisierten Fahren, 5. Tagung Fahrerassistenz, Munich, 2012

    Google Scholar 

  3. R. Yerkes, J. Dodson, The relation of strength of stimulus to rapidity of habit-formation. J. Comp. Neurol. Psychol. 18(5), 459–482 (1908)

    Article  Google Scholar 

  4. S. Lüke, O. Fochler, T. Schaller, U. Regensburger, Stauassistenz und -automation, in Handbuch Fahrerassistenzsysteme, 3. Auflage, ed. by H.~Winner, S. Hakuli, F. Lotz, C. Singer (Springer Vieweg, Wiesbaden, 2015)

    Google Scholar 

  5. B. Filzek, Schlüsseltechnologien zum Automatisierten Fahren, AAET 2014, Braunschweig, 2014

    Google Scholar 

  6. BMW Group PressClub Global, Ready for Takeover! (2011), [Online] https://www.press.bmwgroup.com

  7. AUDI AG, Long-Distance Test Drive Successfully Completed: Audi A7 Sportback Piloted Driving Concept Arrives in Las Vegas Following 560 Mile Drive (2015), [Online] http://www.audi-mediacenter.com

  8. Daimler AG, Pioneering Achievement: Autonomous Long-Distance Drive in Rural and: Mercedes-Benz S-Class INTELLIGENT DRIVE Drives Autonomously in the Tracks of Bertha Benz (2013), [Online] http://media.daimler.com/

  9. H. Winner, Absicherung automatischen Fahrens, 6. FAS-Tagung München, Munich, 2013

    Google Scholar 

  10. DESTATIS, Road Accidents 2012, Statistisches Bundesamt, Wiesbaden, 2013

    Google Scholar 

  11. T. Hummel, M. Kühn, J. Bende, A. Lang, An Investigation of Their Potential Safety Benefits Based on an Analysis of Insurance Claims in Germany, UDV (German Insurers Accident Research), Berlin, 2011

    Google Scholar 

  12. DESTATIS, Road Accidents 2013, Statistisches Bundesamt, Wiesbaden, 2014.

    Google Scholar 

  13. BMW Group, BMW 7 Series (2015), [Online] http://www.bmw.com/7series

  14. T. Schaller, Active Safety on the Road Towards Highly Automated Driving, in 8th Graz Symposium Virtuelles Fahrzeug, Graz, 2015

    Google Scholar 

  15. K. Kompass, T. Helmer, L. Wang, R. Kates, Gesamthafte Bewertung der Sicherheitsveränderung durch FAS/HAF im Verkehrssystem: Der Beitrag von Simulation, in Haus der Technik—Tagung Fahrerassistenz und Aktive Sicherheit, Essen, 2015

    Google Scholar 

  16. N. Aeberhard, S. Rauch, M. Bahram, G. Tanzmeister, J. Thomas, Y. Pilat, F. Homm, W. Huber, N. Kaempchen, Experience, results and lessons learned from automated driving on Germany’s highway. IEEE Intell. Transp. Syst. Mag. 7(1), 42–57 (2015)

    Article  Google Scholar 

  17. F. Klanner, C. Ruhhammer, Backendsysteme zur Erweiterung der Wahrnehmungsreichweite von Faherassistenzsystemen, in Handbuch Fahrerassistenzsysteme, 3. Auflage, ed. by H.~Winner, S. Hakuli, F. Lotz, C. Singer (Springer, Wiesbaden, 2015)

    Google Scholar 

  18. R. Krzikalla, A. Schindler, M. Wankerl, R. Wertheimer, Vernetztes Automobil: Mehr Sicherheit durch Positionsbestimmung mit Satelliten und Landmarken (Springer, Wiesbaden, 2014)

    Google Scholar 

  19. P. Waldmann, D. Niehues, Der BMW Track Trainer—Automatisiertes fahren im Grenzbereich auf der Nürburgring Nordschleife, Garching, 4.Tagung Sicherheit durch Fahrerassistenz, Germany, 2010

    Google Scholar 

  20. BMW Group PressClub Global, BMW at the Consumer Electronics Show: Highly Automated Driving at the Limit (2014), [Online] https://www.press.bmwgroup.com/

  21. N. Kaempchen, M. Aeberhard, P. Waldmann, M. Ardelt, S. Rauch, Der BMW Nothalteassistent: Hochautomatisiertes Fahren für mehr Sicherheit im Straßenverkehr, Elektronik Automotive, 2011

    Google Scholar 

  22. M. Liebner, C. Ruhhammer, F. Klanner, C. Stiller, Generic Driver Intent Inference Based on Parametric Models, in IEEE Conference on Intelligent Transportation Systems, Proceedings, Netherlands, 2013

    Google Scholar 

  23. M. Liebner, F. Klanner, Driver intent inference and risk assessment, in Handbook of Driver Assistance Systems, ed. by H.~Winner, S. Hakuli, F. Lotz, C. Singer (Springer, Switzerland, 2015)

    Google Scholar 

  24. T. Heinrich, J. Ortlepp, J. Schmiele und H. Voß, Infrastrukturgestützte Fahrerassistenz, UDV (German Insurers Accident Research), Berlin, 2011

    Google Scholar 

  25. C. Rodemerk, S. Habenicht, A. Weitzel, H. Winner, T. Schmitt, Development of a General Criticality Criterion for the Risk Estimation of Driving Situations and Its Application to A Maneuver-Based Lane Change Assistance System, Alcala de Henares, in IEEE Intelligent Vehicles Symposium, Spain, 2012

    Google Scholar 

  26. W. Wachenfeld, H. Winner, Lernen autonome Fahrzeuge? in Autonomes Fahren—Technische, rechtliche und gesellschaftliche Aspekte, ed. by M. Maurer, J. Christian Gerdes, B. Lenz, H.~Winner (Springer Vieweg, Berlin, 2015)

    Google Scholar 

  27. A. Seewald, C. Haß, M. Keller, T. Bertram, Emergency steering assist for collision avoidance. ATZ Worldwide 117, 14–19 (2015)

    Article  Google Scholar 

  28. R. Herrtwich, Autonomous Automobile Future, in 8th Graz Symposium Virtuelles Fahrzeug, Graz, 2015

    Google Scholar 

  29. K. Kompass, L. Wang, T. Helmer, Prospektive Wirksamkeitsanalyse von aktiven Sicherheitssystemen und HAF, VDA Technischer Kongress, 2015

    Google Scholar 

  30. T. Helmer, Development of a Methodology for the Evaluation of Active Safety Using the Example of Preventive Pedestrian Protection, Springer Thesis, 2015

    Google Scholar 

  31. Y. Page, F. Fahrenkrog, A. Fiorentino, J. Gwehenberger, T. Helmer, M. Lindman, O. Lex van Rooij, S. Puch, M. Fränzle, U. Sander, P. Wimmer, A Comprehensive and Harmonized Method for Assessing the Effectiveness of Advanced Driver Assistance Systems by Virtual Simulation: The P.E.A.R.S. Initiative, in International Technical Conference on the Enhanced Safety of the Vehicles, Gothenburg, Sweden, 2015

    Google Scholar 

  32. AdaptIVe, European Research Project: AdaptIVe, Automated Driving (2015), [Online] https://www.adaptive-ip.eu/

Download references

Author information

Authors and Affiliations

  1. BMW Group, Munich, Germany

    Klaus Kompass & Thomas Schaller

  2. Virtual Vehicle Research Center, Graz, Austria

    Markus Schratter

Authors
  1. Klaus Kompass
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Markus Schratter
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Thomas Schaller
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Markus Schratter .

Editor information

Editors and Affiliations

  1. Institute of Electrical Measurement and Measurement Signal Processing, Virtual Vehicle Research Center and Graz University of Technology, Graz, Austria

    Daniel Watzenig

  2. Institute of Automation and Control, Graz University of Technology, Graz, Austria

    Martin Horn

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Kompass, K., Schratter, M., Schaller, T. (2017). Active Safety Towards Highly Automated Driving. In: Watzenig, D., Horn, M. (eds) Automated Driving. Springer, Cham. https://doi.org/10.1007/978-3-319-31895-0_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-31895-0_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31893-6

  • Online ISBN: 978-3-319-31895-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation