This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Identification of Test Scenarios for Autonomous Vehicles Using Fatal Accident Data

Journal Article
12-04-01-0010
ISSN: 2574-0741, e-ISSN: 2574-075X
Published March 16, 2021 by SAE International in United States
Identification of Test Scenarios for Autonomous Vehicles Using Fatal Accident Data
Sector:
Citation: Aydin, M. and Akbas, M., "Identification of Test Scenarios for Autonomous Vehicles Using Fatal Accident Data," SAE Intl. J CAV 4(1):119-132, 2021, https://doi.org/10.4271/12-04-01-0010.
Language: English

References

  1. Zanona , M. 2017 https://thehill.com/policy/transportation/355696-driverless-car-investments-top-80-billion 2019
  2. Insight , B. 2016 http://www.berginsight.com/ReportPDF/ProductSheet/bi-autonomous-ps.pdf 2019
  3. Dan Fagella , T. 2017 https://venturebeat.com/2017/06/04/self-driving-car-timeline-for-11-top-automakers/ 2019
  4. Abraham , H. , Reimer , B. , Seppelt , B. , Fitzgerald , C. et al. 2017
  5. Razdan , R. , Akbas , M.I. , Sargolzaei , A. , Alnaser , A.J. et al. Unsettled Technology Areas in Autonomous Vehicle Test and Validation 2019 https://doi.org/10.4271/EPR2019001
  6. Kalra , N. and Paddock , S.M. Driving to Safety: How Many Miles of Driving Would It Take to Demonstrate Autonomous Vehicle Reliability? Transportation Research Part A: Policy and Practice 94 182 193 2016
  7. Alnaser , A.J. , Akbas , M.I. , Sargolzaei , A. , and Razdan , R. Autonomous Vehicles Scenario Testing Framework and Model of Computation SAE Int. J. CAV 2 4 205 218 2019 https://doi.org/10.4271/12-02-04-0015
  8. Medrano-Berumen , C. and Akbas , M.I. Scenario Generation for Validating Artificial Intelligence Based Autonomous Vehicles Asian Conference on Intelligent Information and Database Systems 481 492 Phuket, Thailand 2020
  9. Koopman , P. and Wagner , M. Challenges in Autonomous Vehicle Testing and Validation SAE Int. J. Trans. Safety 4 1 15 24 2016 https://doi.org/10.4271/2016-01-0128
  10. Huang , W. , Wang , K. , Lv , Y. , and Zhu , F. Autonomous Vehicles Testing Methods Review IEEE International Conference on Intelligent Transportation Systems (ITSC) Rio de Janeiro, Brazil 163 168 2016
  11. Bibuli , M. , Caccia , M. , and Lapierre , L. Path-Following Algorithms and Experiments for an Autonomous Surface Vehicle IFAC Proceedings Volumes 40 17 81 86 2007
  12. Li , L. , Huang , W.-L. , Liu , Y. , Zheng , N.-N. et al. Intelligence Testing for Autonomous Vehicles: A New Approach IEEE Transactions on Intelligent Vehicles 1 2 158 166 2016
  13. Broggi , A. , Buzzoni , M. , Debattisti , S. , Grisleri , P. et al. Extensive Tests of Autonomous Driving Technologies IEEE Transactions on Intelligent Transportation Systems 14 3 1403 1415 2013
  14. Zhang , C. , Liu , Y. , Zhao , D. , and Su , Y. RoadView: A Traffic Scene Simulator for Autonomous Vehicle Simulation Testing IEEE International Conference on Intelligent Transportation Systems (ITSC) Qingdao, China 1160 1165 2014
  15. Winner , H. , Lemmer , K. , Form , T. , and Mazzega , J. PEGASUS—First Steps for the Safe Introduction of Automated Driving Automated Vehicles Symposium 2018 185 195 San Francisco, California, USA 2018
  16. Hallerbach , S. , Xia , Y. , Eberle , U. , and Koester , F. Simulation-Based Identification of Critical Scenarios for Cooperative and Automated Vehicles SAE Int. J. CAV 1 2 93 106 2018 https://doi.org/10.4271/2018-01-1066
  17. Berger , C. Improving Scenario Selection for Simulations by Run-Time Control-Flow Analysis Proceedings of the Summer Computer Simulation Conference Toronto, Ontario, Canada 25 2013
  18. Zhao , D. , Huang , X. , Peng , H. , Lam , H. et al. Accelerated Evaluation of Automated Vehicles in Car-Following Maneuvers IEEE Transactions on Intelligent Transportation Systems 19 3 733 744 2018
  19. Khastgir , S. , Dhadyalla , G. , Birrell , S. , Redmond , S. et al. Test Scenario Generation for Driving Simulators Using Constrained Randomization Technique SAE Technical Paper 2017-01-1672 2017 https://doi.org/10.4271/2017-01-1672
  20. Baumann , G. , Riemer , T. , Liedecke , C. , Rumbolz , P. et al. The New Driving Simulator of Stuttgart University International Stuttgart Symposium Stuttgart 2012
  21. Ros , G. , Sellart , L. , Materzynska , J. , Vazquez , D. et al. The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Las Vegas, NV 3234 3243 2016
  22. Gaidon , A. , Wang , Q. , Cabon , Y. , and Vig , E. VirtualWorlds as Proxy for Multi-object Tracking Analysis Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Las Vegas, NV 4340 4349 2016
  23. Richter , S.R. , Vineet , V. , Roth , S. , and Koltun , V. Playing for Data: Ground Truth from Computer Games European Conference on Computer Vision 102 118 Amsterdam, The Netherlands 2016
  24. Wagner , S. , Knoll , A. , Groh , K. , Kuhbeck , T. et al. Virtual Assessment of Automated Driving: Methodology, Challenges, and Lessons Learned SAE Int. J. CAV 2 4 263 277 2019 https://doi.org/10.4271/12-02-04-0020
  25. Wolschke , C. , Kuhn , T. , Rombach , D. , and Liggesmeyer , P. Observation Based Creation of Minimal Test Suites for Autonomous Vehicles IEEE International Symposium on Software Reliability Engineering Workshops (IS-SREW) Toulouse 294 301 2017
  26. Mullins , G.E. , Stankiewicz , P.G. , Hawthorne , R.C. , and Gupta , S.K. Adaptive Generation of Challenging Scenarios for Testing and Evaluation of Autonomous Vehicles Journal of Systems and Software 137 197 215 2018
  27. Tuncali , C.E. , Pavlic , T.P. , and Fainekos , G. Utilizing S-TaLiRo as an Automatic Test Generation Framework for Autonomous Vehicles IEEE International Conference on Intelligent Transportation Systems (ITSC) Rio de Janeiro, Brazil 1470 1475 2016
  28. Du , P. and Driggs-Campbell , K. Finding Diverse Failure Scenarios in Autonomous Systems Using Adaptive Stress Testing SAE Int. J. CAV 2 4 241 251 2019 https://doi.org/10.4271/12-02-04-0018
  29. National Highway Traffic Safety Administration (NHTSA) 2020 ftp://ftp.nhtsa.dot.gov/FARS 2019
  30. 2018
  31. Koopman , P. , Ferrell , U. , Fratrik , F. , and Wagner , M. A Safety Standard Approach for Fully Autonomous Vehicles International Conference on Computer Safety, Reliability, and Security Turku, Finland 326 332 2019
  32. Menzel , T. , Bagschik , G. , and Maurer , M. Scenarios for Development, Test and Validation of Automated Vehicles IEEE Intelligent Vehicles Symposium (IV) Changshu, China 1821 1827 2018
  33. NHTSA Administration 2015

Cited By

Recommended Content

Aerospace Material Specification Pyrometry
Journal Article Addressing Run Off Road Safety
Technical Paper Occupant-Based Injury Severity Prediction