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Simulation-Based Identification of Critical Scenarios for Cooperative and Automated Vehicles

Journal Article
2018-01-1066
ISSN: 2574-0741, e-ISSN: 2574-075X
DOI: https://doi.org/10.4271/2018-01-1066
Published April 03, 2018 by SAE International in United States
Simulation-Based Identification of Critical Scenarios for Cooperative and Automated Vehicles
Sector:
Citation: Hallerbach, S., Xia, Y., Eberle, U., and Koester, F., "Simulation-Based Identification of Critical Scenarios for Cooperative and Automated Vehicles," SAE Intl. J CAV 1(2):93-106, 2018, https://doi.org/10.4271/2018-01-1066.
Language: English

References

  1. Hallerbach , S. , Eberle , U. , and Köster , F. Absicherungs- und Bewertungsmethoden für kooperative und hochautomatisierte Fahrzeuge AAET - Automatisiertes und vernetztes Fahren Brunswick, Germany Feb. 8-9 2017 368 384 978-3-937655-41-3
  2. Koopman , P. and Wagner , M. Autonomous Vehicle Safety: An Interdisciplinary Challenge IEEE Intelligent Transportation Systems Magazine 9 1 90 96 2017 10.1109/MITS.2016.2583491
  3. Pütz , A. , Zlocki , A. , Küfen , J. , Bock , J. et al. Database Approach for the Sign-Off Process of Highly Automated Vehicles 25th Enhanced Safety of Vehicles Conference (ESV) Detroit 2017
  4. General Motors 2018 Self-Driving Safety Report 2018 https://www.gm.com/content/dam/gm/en_us/english/selfdriving/gmsafetyreport.pdf
  5. Ulbrich , S. , Menzel , T. , Reschka , A. , Schuldt , F. et al. Defining and Substantiating the Terms Scene, Situation, and Scenario for Automated Driving IEEE 18th International Conference on Intelligent Transportation Systems Canary Islands, Spain 2015 10.1109/ITSC.2015.164
  6. Menzel , T. , Bagschik , G. , and Maurer , M. Scenarios for Development, Test and Validation of Automated Vehicles 2018 IEEE Intelligent Vehicles Symposium Changshu, China 2018 https://arxiv.org/abs/1801.08598
  7. Baidu Artificial Intelligence Apollo Simulation 2018 http://apollo.auto/platform/simulation.html
  8. Nvidia Cooperation Nvidia Drive Constellation 2018 https://www.nvidia.com/en-us/self-driving-cars/drive-constellation/
  9. Maurer , M. , Gerdes , J.C. , Lenz , B. , and Winner , H. Autonomes Fahren - Technische, rechtliche und gesellschaftliche Aspekte - Teil 4 Sicherheit Berlin, Germany Springer Verlag GmbH 2015 454 458 10.1007/978-3-662-45854-9
  10. Hallerbach , S. , Eberle , U. , and Köster , F. The Challenges of Releasing Cooperative and Highly Automated Vehicles - A Look beyond Functional Requirements AmE - Automotive meets Electronics, GMM-Fachbericht, VDE Dortmund Germany Mar. 07-08 2017 102 106 978-3-8007-4369-8
  11. Bagschik , G. , Menzel , T. , Reschka , A. , and Maurer , M Szenarien für Entwicklung, Absicherung und Test von automatisierten Fahrzeugen 11. Workshop Fahrerassistenzsysteme und automatisiertes Fahren, FAS 2017 Walting, Germany Mar. 29-31 2017 125 135 978-3-00-055656-2 https://arxiv.org/abs/1801.08598
  12. Winner , H. , Hakuli , S. , Lotz , F. , and Singer , C. Handbuch der Fahrerassistenzsysteme-Grundlagen, Komponenten und Systeme für aktive Sicherheit und Komfort Third Wiesbaden Springer Fachmedien 2015 128 132 10.1007/978-3-658-05734-3
  13. Bartels , A. , Eberle , U. , and Knapp , A. Deliverable D2.1. System Classification and Glossary Adaptive Consortium Wolfsburg, Germany Feb. 6 2015 63
  14. Dupuis , M. et al. OpenDrive Format Specification, Rev. 1.4 VIRES-Simulationstechnologie GmbH Nov. 4 2015
  15. Schubert , R. , Richter , E. , and Gerd , W. Comparison and Evaluation of Advanced Motion Models for Vehicle Tracking 11th International Conference on Information June 30-July 3 2008 10.1109/ICIF.2008.4632283
  16. Junietz , P. , Schneider , J. , and Winner , H. Metrik zur Bewertung der Kritikalität von Verkehrssituationen und -szenarien 11. Workshop Fahrerassistenzsysteme und automatisiertes Fahren, FAS 2017 Walting, Germany Mar. 29-31 2017 149 160 978-3-00-055656-2
  17. Hayward , J.C. Near Miss Determination through Use of a Scale of Danger 51st Annual Meeting of the Highway Research Board Washington, DC Jan. 17-21 1972
  18. Hillenbrand , J. , Kroschel , K. , and Schmid , V. Situation Assessment Algorithm for a Collision Prevention Assistant Proceedings of Intelligent Vehicles Symposium, 2005 Las Vegas June 6-8 2005 459 465 10.1109/IVS.2005.1505146
  19. Karlsson , R. , Jansson , J. , and Gustafsson , F. Model-Based Statistical Tracking and Decision Making for Collision Avoidance Application Proceeding of the 2004 American Control Conference Boston June 30-July 2 2004 3435 3440 0-7803-8335-4
  20. Augustin , D. and Hallerbach , S. Interaction-Aware Motion Prediction for Highly-Automated Driving Function on Highways AmE - Automotive meets Electronics, GMM-Fachbericht Dortmund Germany 127 132 Mar. 7-8 2017 978-3-8007-4369-8
  21. Lefèvre , S. , Vasquez , D. , and Laugier , C. A Survey on Motion Prediction and Risk Assessment for Intelligent Vehicles ROBOMECH Journal 1 1 2014 10.1186/s40648-014-0001-z
  22. Transport Research Board- National Research Council Highway Capacity Manual Washington, DC 2000 0-309-06681-6
  23. Zhu , W. , Boriboonsomsin , K. , and Barth , M. Microscopic Traffic Flow Quality of Service from the Drivers’ Point of View Proceedings of the 2007 IEEE, Intelligent Transportation Systems Conference Seattle, WA Sept. 30-Oct. 3 2007 47 52 10.1109/ITSC.2007.4357790
  24. Ko , J. , Guensler , R. , and Hunter , M. 1 9 2006 10.3141/1988-02
  25. Fawcett , T. An Introduction to ROC Analysis Pattern Recognition Letters 27 861 874 2005 10.1016/j.patrec.2005.10.010
  26. SAE-International 2014

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