Try Mobilus Beta
Search tips
 This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Safety Assurance for Automated Driving Systems: Open Problems and Learnings from a Review of Other Domains

Journal Article
12-05-03-0017
ISSN: 2574-0741, e-ISSN: 2574-075X
DOI: https://doi.org/10.4271/12-05-03-0017
Published February 23, 2022 by SAE International in United States
Safety Assurance for Automated Driving Systems: Open Problems and Learnings from a Review of Other Domains
Sector:
Citation: Ballingall, S., Sarvi, M., and Sweatman, P., "Safety Assurance for Automated Driving Systems: Open Problems and Learnings from a Review of Other Domains," SAE Intl. J CAV 5(3):203-216, 2022, https://doi.org/10.4271/12-05-03-0017.
Language: English

References

  1. UNECE 2019
  2. UNECE 2019
  3. NTC 2020
  4. UNECE 2018
  5. SAE 2018
  6. Ballingall , S. , Sarvi , M. , Sweatman , P. Safety Assurance Concepts for Automated Driving Systems SAE Int. J. Adv. & Curr. Prac. in Mobility 2 3 1528 1537 2020 https://doi.org/10.4271/2020-01-0727
  7. Anguelov , D. Taming the Longtail of Autonomous Driving Challenges MIT 2019 https://www.youtube.com/watch?v=Q0nGo2-y0xY
  8. Vogt , K. Accelerating Machine Learning for Driverless Vehicles, Cruise MIT AI 2019 Conference 2019 https://www.youtube.com/watch?v=O6t7P1a7dyY
  9. Karpathy , A. Building the Software 2.0 Stack, Tesla Spark+AI Summit 2018 2018 https://databricks.com/session/keynote-from-tesla
  10. Helm.ai 2020 https://medium.com/@helm_ai/helm-ai-pioneers-breakthrough-deep-teaching-of-neural-networks-9c57cf9aeb39
  11. IEC 2015
  12. Rivett , R. , Habli , I. , and Kelly , T. Automotive Functional Safety and Robustness: Never the Twain or Hand in Glove? CARS 2015—Critical Automotive Applications, Robustness & Safety Paris 2015
  13. ISO 2018
  14. ISO 2019
  15. Salay , R. , Queiroz , R. , and Czarnecki , K. An Analysis of ISO 26262: Machine Learning and Safety in Automotive Software SAE Technical Paper 2018-01-1075 2018 https://doi.org/10.4271/2018-01-1075
  16. Khastgir , S. , Birrell , S. , Dhadyalla , G. , and Sivencrona , H. Towards Increased Reliability by Objectification of Hazard Analysis and Risk Assessment (HARA) of Automated Automotive Systems Safety Science 99 2017 166 177 https://doi.org/10.1016/j.ssci.2017.03.024
  17. Serna , J. , Diemert , S. , and Millet , L. Bridging the Gap between ISO 26262 and Machine Learning: A Survey of Techniques for Developing Confidence in Machine Learning Systems SAE Technical Paper 2020-01-0738 2020 https://doi.org/10.4271/2020-01-0738
  18. ICAO 2020 https://www.icao.int/about-icao/Pages/default.aspx
  19. SKYbrary 2018 www.skybrary.aero/index.php/Certification_of_Aircraft,_Design_and_Production
  20. FAA 2009
  21. ICAO 2011
  22. ICAO 2019
  23. Kennedy , J. and Towhidnejad , M. Innovation and Certification in Aviation Software 2017 Integrated Communications, Navigation and Surveillance Conference (ICNS) Herndon, VA 2017 https://doi.org/10.1109/ICNSURV.2017.8011916
  24. Bhattacharyya , S. , Cofer , D. , Musliner , D. , Mueller , J. et al. Certification Considerations for Adaptive Systems 2015 International Conference on Unmanned Aircraft Systems (ICUAS) Denver, CO 2015
  25. FAA 2016
  26. EASA 2020
  27. Transportation Committee 2020
  28. IMO 2021 http://www.imo.org/en/About/Pages/Default.aspx
  29. IMO 2006
  30. IMO 2002
  31. IMO 2018
  32. IMO 2021
  33. Brinkmann , M. , Böde , E. , Lamm A. , Maelen , S.V. et al. Learning from Automotive: Testing Maritime Assistance Systems up to Autonomous Vessels OCEANS 2017 Aberdeen 2017 1 8 https://doi.org/10.1109/OCEANSE.2017.8084951
  34. IBM 2021 https://www.ibm.com/case-studies/mayflower/
  35. NTC 2016
  36. IEC 2009
  37. WHO 2020 https://www.who.int/medical_devices/safety/en/
  38. Minssen , T. , Gerke , S. , Aboy , M. , Price , N. et al. Regulatory Responses to Medical Machine Learning Journal of Law and the Biosciences 7 2020 1 18 https://doi.org/10.1093/jlb/lsaa002
  39. Värria , A. , Kranz-Zuppanb , P. , and de la Cruz , R. IEC 62304 Ed. 2: Software Life Cycle Standard for Health Software Ohno-machado , L. and Seroussi , B. MEDINFO 2019: Health and Wellbeing e-Networks for All IOS Press Amsterdam 2019 868 872 https://doi.org/10.3233/SHTI190347
  40. IEC 2006
  41. FDA 2019
  42. WNA 2019 https://www.world-nuclear.org/information-library/safety-and-security/safety-of-plants
  43. IAEA 2016
  44. Wood , R. , Upadhyaya , B. , and Floyd , D. An Autonomous Control Framework for Advanced Reactors, Nuclear Engineering and Technology 49 5 2017 896 904 https://doi.org/10.1016/j.net.2017.07.001
  45. Lu , C. , Lyu , J. , Zhang , L. , Gong , A. et al. Nuclear Power Plants with Artificial Intelligence in Industry 4.0 Era: Top-Level Design and Current Applications—A Systemic Review IEEE Access 8 2020 194315 194332 https://doi.org/10.1109/ACCESS.2020.3032529
  46. WNA 2015
  47. IEEE 2016
  48. IEEE 2018
  49. IAEA 2016
  50. DoD 2017
  51. Scharre , P. Army of None: Autonomous Weapons and the Future of War New York W. W. Norton & Company 2018
  52. UNODA 2016 https://doi.org/10.18356/83bae844-en
  53. Davison , N. 2017
  54. Ackerman , E. Industry Urges United Nations to Ban Lethal Autonomous Weapons in New Open Letter IEEE Spectrum 2017
  55. CCW 2019
  56. DoD 2012

Cited By