Advertisement

Scenario-Based Functional Safety for Automated Driving on the Example of Valet Parking

  • Valerij Schönemann
  • Hermann Winner
  • Thomas Glock
  • Stefan Otten
  • Eric Sax
  • Bert Boeddeker
  • Geert Verhaeg
  • Fabrizio Tronci
  • Gustavo G. Padilla
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 886)

Abstract

New safety challenges have to be targeted due to the development of fully automated vehicles in the upcoming future. However, designing safe vehicle automation systems is essential. This work presents a scenario-based methodology for functional safety analysis according to the ISO 26262 using the example of automated valet parking (AVP). The vehicle automation system is decomposed into functional scenarios that can occur during operation. Potential malfunctions are identified for each scenario within a hazard analysis and risk assessment (HARA). Elaborated safety goals for automated valet parking are presented.

Keywords

Valet parking Functional safety ISO 26262 Automated driving 

References

  1. 1.
    ISO: ISO 26262: Road vehicles - Functional Safety. International Organization for Standardization, Geneva, Switzerland, International Standard (2011)Google Scholar
  2. 2.
    International Electrotechnical Commission: Functional Safety of Electrical/Electronic/Programmable Electronic Safety Related Systems. IEC 61508 (2000)Google Scholar
  3. 3.
    SAE: Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles. Society of AutomotiveGoogle Scholar
  4. 4.
    Nordbruch, S., Nicodemus, R., Quast, G., Schweiger, R.: Automated valet parking. In: 7. TÜV Tagung Fahrerassistenz, München. TÜV Gruppe Süd, München (2015)Google Scholar
  5. 5.
    Klemm, S., Essinger, M., Oberländer, J., René Zofka, M., Kuhnt, F., Weber, M., Kohlhaas, R., Kohs, A., Roennau, A., Schamm, T., Zöllner, J.M.: Autonomous multi-story navigation for valet parking. In: IEEE International Conference on Intelligent Transportation Systems (2016)Google Scholar
  6. 6.
    Wachenfeld, W., Winner, H.: The release of autonomous vehicles. In: Maurer, M., Gerdes, J.C., Lenz, B., Winner, H. (eds.) Autonomous Driving: Technical, Legal and Social Aspects, pp. 425–449. Springer, Heidelberg (2016)Google Scholar
  7. 7.
    Bach, J., Otten, S., Sax, E.: A model-based scenario specification method to support development and test of automated driving functions. In: IEEE Intelligent Vehicles Symposium (2016)Google Scholar
  8. 8.
    Chitnis, K., Mody, M., Swami, P., Sivaraj, R., Ghone, C., Biju, M.G., Narayanan, B., Dutt, Y., Dubey, A.: Enabling functional safety ASIL compliance for autonomous driving software systems. Electron. Imaging 19, 35–40 (2017)CrossRefGoogle Scholar
  9. 9.
    Van Dijke, J., Van Schijndel, M., Nashashibi, F., De La Fortelle, A.: Certification of automated transport systems. Transportation Research Arena - Europe, Athènes, Greece, April 2012Google Scholar
  10. 10.
    Stolte, T., Bagschik, G., Reschka, A., Maurer, M.: Hazard analysis and risk assessment for automated unmanned protective vehicle. arXiv preprint arXiv:1704.06140 (2017)
  11. 11.
    Stolte, T., Bagschik, G., Maurer, M.: Safety goals and functional safety requiremnets for actuation systems of automated vehicles. In: IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) (2016)Google Scholar
  12. 12.
    Reschka, A.: Safety concept for autonomous vehicles. In: Maurer, M., Gerdes, J.C., Lenz, B., Winner, H. (eds.) Autonomous Driving: Technical, Legal and Social Aspects, pp. 473–496. Springer, Heidelberg (2016)Google Scholar
  13. 13.
    Adler, N., Otten, S., Schwär, M., Müller-Glaser, K.D.: Managing functional safety processes for automotive E/e architectures in integrated model-based development environments. SAE Int. J. Passeng. Cars Electron. Electr. Syst. 7(1), 103–114 (2014)CrossRefGoogle Scholar
  14. 14.
    Ulbrich, S., Menzel, T., Reschka, A., Schuldt, F., Maurer, M.: Defining and substantiating the terms scene, situation, and scenario for automated driving. In: 2015 IEEE 18th International Conference on Intelligent Transportation Systems - (ITSC 2015), pp. 982–988 (2015)Google Scholar
  15. 15.
    German Association of the Automotive Industry (Verband der Automobilindustrie e.V.): VDA 702 E-Parameter according ISO 26262-3. VDA-Recommendations (2015)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Valerij Schönemann
    • 1
  • Hermann Winner
    • 1
  • Thomas Glock
    • 2
  • Stefan Otten
    • 2
  • Eric Sax
    • 2
  • Bert Boeddeker
    • 3
  • Geert Verhaeg
    • 4
  • Fabrizio Tronci
    • 5
  • Gustavo G. Padilla
    • 6
  1. 1.Institute of Automotive EngineeringTechnische Universität Darmstadt (TUD)DarmstadtGermany
  2. 2.FZI Research Center for Information TechnologyKarlsruheGermany
  3. 3.Research and Engineering CenterDENSO AUTOMOTIVE Deutschland GmbHEchingGermany
  4. 4.TNOThe HagueNetherlands
  5. 5.Magneti MarelliCorbettaItaly
  6. 6.Hella Aglaia Mobile VisionBerlinGermany

Personalised recommendations