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ADAS, Quo Vadis?

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Handbook of Driver Assistance Systems

Abstract

Gazing into the future of driver assistance systems means looking for stimuli for future developments and identifying specific challenges and effects DAS may be exposed to. One specific “problem area” is the validation of autonomous driving. Statistical considerations show how very difficult it will be to obtain proof of safety on a level comparable to human drivers and that a metric is needed to be able to certify autonomous driving in future. The evolution to autonomous driving is shown as a triangle with three different starting bases. The priorities for future research are given in the last section.

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References

  • Aparicio A, Bargalló J, Baurès S, Rodarius C, Vissers J, Bartels O, Seiniger P, Lemmen P, Unselt T, Ranovona M, Okawa T, Schaub S (2012) Pre-crash performance of collision mitigation and avoidance systems – results from the ASSESS project, Paper Nr. AVEC-043. In: Proceedings of the 11th AVEC Conference, Seoul, Sept 2012

    Google Scholar 

  • Beiker S (2015) Implementation of a self-driving transportation system. In: Maurer M, Gerdes C, Lenz B, Winner H (eds) Autonomes Fahren. Springer, Berlin

    Google Scholar 

  • Bengler K, Dietmayer K, Färber B, Maurer M, Stiller C, Winner H (2012) Die Zukunft der Fahrerassistenz – Ein Strategiepapier der Uni-DAS (The future of driver assistance – A strategy paper of Uni-DAS), Uni-DAS e. V. (Publ.), ISBN: 978-3-941543-09-6, Internet: http://www.uni-das.de/documents/Strategiepapier_Uni-DAS.pdf

  • Bläser D, Arch M, Schmidt A (2012) Mobilität findet Stadt. Zukunft der Mobilität für urbane Metropolräume. (Mobility meets City). In: Proff H, Schönharting J, Schramm D, Ziegler J (eds) Zukünftige Entwicklungen in der Mobilität. Betriebswirtschaftliche und technische Aspekte. Springer Gabler, Wiesbaden, pp 501–515

    Chapter  Google Scholar 

  • Blumenthal F (2013) Vernetzt und autonom (Connected and autonomous). ATZ Agenda Vol. 2, 20–23

    Google Scholar 

  • Bock T, Maurer M, Färber B (2007) Vehicle in the Loop (VIL) – a new simulator set-up for testing advanced driving assistance systems. In: Driving simulation conference North America 2007, University of Iowa

    Google Scholar 

  • Brahmi M, Siedersberger KH, Siegel A, Maurer M (2013) Referenzsysteme für die Bewertung der Umfelderfassung: Anforderungen, Validierung und Einsatz (Reference systems for the assessment of surroundings perception: Requirements, validation and usage). In: 6. Tagung Fahrerassistenz, Lehrstuhl für Fahrzeugtechnik (FTM), Technische Universität München, München

    Google Scholar 

  • Cieler S, Konigorski U, Lüke S, Winner H (2014) Umfassende Fahrerassistenz durch Sicherheitskorridor und kooperative Automation (Comprehensive driver assistance by safety corridor and cooperative automation), ATZ Ausgabe 10-2014

    Google Scholar 

  • Damböck D, Farid M, Tönert L, Bengler K (2012) Übernahmezeiten beim hochautomatisierten Fahren (Takeover times at highly automated driving) 5. Tagung Fahrerassistenz, Lehrstuhl für Fahrzeugtechnik (FTM), Technische Universität München, München

    Google Scholar 

  • Darms M, Baker C, Rybksi P, Urmson C (2008) Vehicle Detection and Tracking for the Urban Challenge. In: 5. Workshop Fahrerassistenzsysteme Walting, Freundeskreis Mess- und Regelungstechnik, Karlsruhe

    Google Scholar 

  • Dietl M, Gutmann JS, Nebel B (2001) Cooperative sensing in dynamic environments. In: Proceedings IEEE/RSJ international conference on Intelligent Robots and Systems (IROS), Maui, pp 1706–1713, Nov 2001

    Google Scholar 

  • Eichler S (2007) Extending onboard sensor information by wireless communication. In: Proceedings IEEE intelligent vehicles symposium, Istanbul, pp 541–546, June 2007

    Google Scholar 

  • Elo A (1978) The rating of chess players, past and present. Arco Pub, New York

    Google Scholar 

  • European Union (2010) E-Safety, Nov 2010. [Online] Available: http://www.ec.europa.eu/informationsociety/activities/esafety. Accessed June 2013

  • Färber B, Maurer M (2005) Nutzer- und Nutzen-Parameter von Collision Warning und Collision Mitigation Systemen. (Benefit and usage parameters of collision warning and collision mitigation systems) In: M. Maurer, C. Stiller (eds) 5. Workshop Fahrerassistenzsysteme Walting, Freundeskreis Mess- und Regelungstechnik, Karlsruhe

    Google Scholar 

  • Fecher N, Fuchs K, Hoffmann J, Abendroth B, Bruder R, Winner H (2008) Analysis of the driver behavior in autonomous emergency hazard braking situations. In: FISITA World Automotive Congress, Munich, 14–19 Sept 2008

    Google Scholar 

  • Freyer J (2008) Vernetzung von Fahrerassistenzsystemen zur Verbesserung des Spurwechselverhaltens von ACC (Connecting of driver assistance systems for improving the lane change behavior of ACC), Cuvillier

    Google Scholar 

  • Freyer J, Deml B, Maurer M, Färber B (2007) ACC with enhanced situation awareness to reduce behavior adaptations in lane change situations. In: Intelligent vehicles symposium – IV2007, Istanbul

    Google Scholar 

  • Homann K (2005) Wirtschaft und gesellschaftliche Akzeptanz: Fahrerassistenzsysteme auf dem Prüfstand (Economics and societal acceptance: driver assistance to reflect). In: Maurer M, Stiller C (eds) Fahrerassistenzsysteme mit maschineller Wahrnehmung. Springer, Berlin, pp 239–244

    Chapter  Google Scholar 

  • INDUCT (2014) Navia – A self-driving shuttle at the service of urban mobility. http://induct-technology.com/en/products/navia. Accessed Juli 2014

  • Karmasin H (2008) Motivation zum Kauf von Fahrerassistenzsystemen (Motivation for buying driver assistance systems). In: 24. VDI/VW-Gemeinschaftstagung Integrierte Sicherheit und Fahrerassistenzsysteme. VDI-Berichte 2048, Wolfsburg

    Google Scholar 

  • Ko-FAS – Kooperative Sensorik und kooperative Perzeption für die präventive Sicherheit im Straßenverkehr (Ko-FAS – Cooperative sensors and cooperative perception for the preventive safety in road traffic). http://www.ko-fas.de. Accessed on July 2015

  • Kosch T (2004) Efficient information dissemination in vehicle ad-hoc networks. In: Proceedings of the 11th World Congress on Intelligent Transportation Systems (ITS), Oct 2004

    Google Scholar 

  • Krüger HP (2008) Hedonomie – die emotionale Dimension der Fahrerassistenz (Hedonomics – the emotional dimension of driver assistance). In 3. Tagung Aktive Sicherheit durch Fahrerassistenz, Lehrstuhl für Fahrzeugtechnik (FTM), Technische Universität München, München

    Google Scholar 

  • Langer D, Switkes J, Stoschek A, Hunhnke B (2008) Environment Perception in the 2007 Urban Challenge: Utility for Future Driver Assistance Systems. In: 5. Workshop Fahrerassistenzsysteme Walting, Freundeskreis Mess- und Regelungstechnik, Karlsruhe

    Google Scholar 

  • Lerner M, Schepers A, Pöppel-Decker M, Leipnitz C, Fitschen A (2013) Voraussichtliche Entwicklung von Unfallanzahlen und Jahresfahrleistungen in Deutschland – Ergebnisse 2013 (Prospective trend of accident figures and annually driving mileage in Germany). Bundesanstalt für Straßenwesen. http://www.bast.de/DE/Presse/Downloads/2013-32-langfassung-pressemitteilung.pdf?__blob=publicationFile&v=2. Dec 2013

  • Liebner M, Klanner F, Baumann M, Ruhhammer C, Stiller C (2013) Velocity-based driver intent inference at urban intersections in the presence of preceding vehicles. IEEE Intell Transp Syst Mag 5(2):10–21

    Article  Google Scholar 

  • Maurer M, Winner H (2013) Automotive systems engineering. Springer, Berlin

    Book  Google Scholar 

  • Nagel R, Eichler S, Eberspächer J (2007) Intelligent wireless communication for future autonomous and cognitive automobiles. In: Proceedings IEEE intelligent vehicles symposium, Istanbul, pp 716–721, June 2007

    Google Scholar 

  • Nothdurft T, Hecker P, Ohl S, Saust F, Maurer M, Reschka A, Böhmer JR (2011) Stadtpilot: first fully autonomous test drives in Urban Traffic. In: 14th international IEEE annual conference on intelligent transportation systems, Washington DC

    Google Scholar 

  • Saust F, Wille J, Maurer M (2012) Energy-optimized driving with an autonomous vehicle in urban environments. In: IEEE Vehicular Technology Conference (VTC Spring), Yokohama

    Google Scholar 

  • Schöner HP, Hurich W, Haaf D (2011) Selbstfahrendes Soft Crash Target zur Erprobung von Fahrerassistenzsystemen (Self-driving soft crash target for testing of driver assistance systems). In: Proceedings Konferenz AAET 2011, Braunschweig

    Google Scholar 

  • simTD-Konsortium: Sichere Intelligente Mobilität – Testfeld Deutschland (Safe Intelligent Mobility – Test Field Germany). Projekt-Homepage http://www.simtd.de

  • Statistisches Bundesamt (2013): Verkehrsunfälle Zeitreihen 2013 (Traffic accidents time series 2013). Access https://www.destatis.de/DE/Publikationen/Thematisch/TransportVerkehr/Verkehrsunfaelle/VerkehrsunfaelleZeitreihen.html

  • Tank T, Linnartz M (1997) Vehicle-to-vehicle communications for avcs platooning. IEEE Trans Veh Technol 46:528–536

    Article  Google Scholar 

  • Terporten M, Bialdyga D, Planing P (2012) Veränderte Kundenwünsche als Chance zur Differenzierung. Herausforderungen für das Marketing am Beispiel neuer Mobilitätskonzepte (Changing requests as chance for differentiation. Requirements for the marketing in case of new mobility concepts). In: Proff H, Schönharting J, Schramm D, Ziegler J (eds) Zukünftige Entwicklungen in der Mobilität. Betriebswirtschaftliche und technische Aspekte. Springer Gabler, Wiesbaden, pp 367–382

    Chapter  Google Scholar 

  • Tischler K, Hummel B (2005) Enhanced environmental perception by inter-vehicle data exchange. In: IEEE intelligent vehicles symposium, Las Vegas, June 2005

    Google Scholar 

  • Uber Technologies Inc (2015) https://www.uber.com

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Acknowledgments

We gratefully acknowledge colleagues from Uni-DAS e. V. for the opportunity to take over Sect. 2, 3, and 6 from the Uni-DAS position paper.

We also gratefully acknowledge the coauthors of the first edition, Dr. Gabriele Wolf, and the second edition, Dr. Alexander Weitzel, for their previous contributions which have strongly influenced this chapter so far.

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Authors and Affiliations

  1. Institute of Automotive Engineering, Technische Universität Darmstadt, Otto-Berndt-Str. 2, 64287, Darmstadt, Germany

    Hermann Winner

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  1. Hermann Winner
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Correspondence to Hermann Winner .

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Editors and Affiliations

  1. Fachgebiet Fahrzeugtechnik (FZD), Technische Universität Darmstadt, Darmstadt, Hessen, Germany

    Hermann Winner

  2. IPG Automotive GmbH, Karlsruhe, Baden-Württemberg, Germany

    Stephan Hakuli

  3. Fachgebiet Fahrzeugtechnik (FZD), Technische Universität Darmstadt, Darmstadt, Hessen, Germany

    Felix Lotz

  4. Fachgebiet Fahrzeugtechnik (FZD), Technische Universität Darmstadt, Darmstadt, Hessen, Germany

    Christina Singer

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Winner, H. (2015). ADAS, Quo Vadis?. In: Winner, H., Hakuli, S., Lotz, F., Singer, C. (eds) Handbook of Driver Assistance Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-09840-1_62-1

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  • DOI: https://doi.org/10.1007/978-3-319-09840-1_62-1

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  • Publisher Name: Springer, Cham

  • Online ISBN: 978-3-319-09840-1

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