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Proving Ground Test Scenarios in Mixed Virtual and Real Environment for Highly Automated Driving

  • H. NémethEmail author
  • A. Háry
  • Z. Szalay
  • V. Tihanyi
  • B. Tóth
Chapter

Zusammenfassung

In response to the changing social demand for safer and more efficient transport in the last few years the development of autonomous driving functions has increased dramatically and in so created many challenges for the automotive industry. Since autonomous driving functions must handle nearly countless traffic participants and various situations, most companies developing such technologies began testing on public roads which became possible due to the amendment of laws in several progressive countries or states worldwide leading the way, for example leading states such as California, The Netherlands and from 2017 Hungary [1]. However, recent regrettable incidences highlight the risks of public road testing and strengthen the role of closed proving grounds and specially designed and constructed controlled urban-like test areas which can represent the real-world environment.

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Literatur

  1. [1] NFM (Ministry of Development) Decree no. 11/2017 (IV.12.), Hungarian Journal, Official Gazette, no. 55. (12. April 2017.)Google Scholar
  2. [2] Zs. Szalay (2016) Structure and Architecture Problems of Autonomous Road Vehicle Testing and Validation, Proceedings of the 15th mini conference on vehicle system dynamics, identification and anomalies: VSDIA2016, pp. 229-236. ISBN:978-963-313-266-1Google Scholar
  3. [3] United Nations Economic Commission for Europe Inland Transport Committee (1995) Agreement concerning the adoption of uniform technical prescriptions for wheeled vehicles, equipment and parts which can be fitted and/or be used on wheeled vehicles and the conditions for reciprocal recognition of approvals granted on the basis of these prescriptions. Revision 2: Genf.Google Scholar
  4. [4] Zs. Szalay, Á. Nyerges, Z. Hamar, M. Hesz, (2017) Technical Specification Methodology for an Automotive Proving Ground Dedicated to Connected and Automated Vehicles. Periodica Polytechnica, Transportation Engineering, Hungary, 45(3), pp. 168-174, 2017,  https://doi.org/10.3311/pptr.10708CrossRefGoogle Scholar
  5. [5] H. Nemeth (2017) Proving ground test scenario simulation for autonomous vehicles. Research paper for Automotive Proving Ground Zala Ltd.Google Scholar
  6. [6] Bock T. (2008) Vehicle-in-the-Loop – Test- und Simulationsumgebung für Fahrerassistenzsysteme. Audi Dissertationsreihe, Vol. 10, Vieweg, GöttingenGoogle Scholar
  7. [7] Zs. Szalay, T. Tettamanti, D. Esztergár-Kiss, I. Varga, C. Bartolini (2018) Development of a Test Track for Driverless Cars: Vehicle Design, Track Configuration, and Liability Considerations. Periodica Polytechnica, Transportation Engineering, Hungary 46(1) pp. 29-35, 2018,  https://doi.org/10.3311/pptr.10753CrossRefGoogle Scholar
  8. [8] SAE International (2018) Taxonomy and Definitions for Terms Related to On-Road Motor Vehicle Automated Driving Systems, SAE standard, nr. J3016__201806. URL: https://www.sae.org/standards/content/j3016_201806/
  9. [9] 3D Mapping Solutions GmbH methods in the field of kinematic surveying of road and railway networks, URL: http://www.3d-mapping.de
  10. [10] OXTS RT3000 sensor family, high performance GNSS/INS for dynamic applications, URL: https://www.oxts.com/products/rt3000/
  11. [11] iMAR, iTVS-KIA-NIRO Fully Automated Driving Vehicle for Traffic Simulation and Sensor Validation, URL: https://www.imar-navigation.de/downloads/TSV-KIA-NIRO.pdf
  12. [12] DSD Testing, Ultra Flat Overrunable robot platform (UFO) for efficient development and testing of active safety systems, URL: https://dsdtesting.at/#active
  13. [14] O. O. den Camp, S. van Montfort, J. Uittenbogaard, J. Welten (2016), Cyclist target and test setup for the evaluation of cyclist-autonomous emergency braking (AEB) systems, FISITA 2016 World Automotive CongressGoogle Scholar
  14. [15] J. Santa, F. Pereniguez, A. Moragon, A. F. Skarmeta: Vehicle-to-Infrastructure Messaging Proposal Based on CAM/DENM Specifications, 978-1-4799-0543-0/13, IEEE 2013Google Scholar
  15. [16] N. C. Moore (2017) Mcity demos: Self-driving cars can be even safer with connected technology, URL: http://cee.umich.edu/mcity-demos
  16. [17] AB Dynamics, Wireless Telemetry for driverless testing and ADAS targets, URL: https://www.abdynamics.com/en/products/track-testing/wireless-telemetry
  17. [18] M. Uberbacher, P. Wolze, T. Burtsche (2017), Experiencing Safety Function Testing ViL, BMW AG. URL: https://ipg-automotive.com/fileadmin/user_upload/content/Download/PDF/Articles/ATZworldwide_07-08_2017_BMW_safety_function_testing_VIL.pdf
  18. [19] M. Tatar, Test and Validation of Advanced Driver Assistance Systems Automated Search for Critical Scenarios, URL: https://link.springer.com/content/pdf/10.1007/s38314-015-0574-1.pdf
  19. [20] Developing Advanced Driver Assistance Systems (ADAS) and Functions for Autonomous Driving (2018), dSPACE GmBH, URL: https://www.dspace.com/shared/data/pdf/2018/ADAS-Broschuere-2018_30_180126_E1.pdf
  20. [21] Schubert, R., Mattern, N., Bours, R. (2014) Evaluating Automated Vehicle Systems using Probabilistic Sensor Simulations. Proceedings of ITS European Congress, Helsinki, FinlandGoogle Scholar
  21. [22] Cyberattack Scenario on Cooperative Driving, Application Example of OCTANE, Fraunhofer-Gesellschaft, URL: https://www.secureplugandwork.de/servlet/is/103630/

Copyright information

© Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2019

Authors and Affiliations

  • H. Németh
    • 1
    Email author
  • A. Háry
    • 1
  • Z. Szalay
    • 1
  • V. Tihanyi
    • 1
  • B. Tóth
    • 1
  1. 1.Budapest University of Technology and EconomicsBudapestUngarn

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