Adaptation of the Automotive Product Development Process for AI Development
References
- R. Salay and K. Czarnecki, Using Machine Learning Safely in Automotive Software: An Assessment and Adaption of Software Process Requirements in ISO 26262, University of Waterloo, Waterloo, ON, Canada, 2018.
- AUTOSAR, “Automotive Open System Architecture,” January 2024. [Online]. Available: http://www.autosar.org/. Accessed on: Jan. 23, 2024.
- K. Park, Y. Choi, W. J. Choi, H.-Y. Ryu, and H. Kim, “LSTM-based battery remaining useful life prediction with multi-channel charging profiles,” IEEE Access, vol. 8, pp. 20786–20798, Jan. 2020. https://doi.org/10.1109/ACCESS.2020.2968939
- B. Chinomona, C. Chung, L.-K. Chang, W.-C. Su, and M.-C. Tsai, “Long short-term memory approach to estimate battery remaining useful life using partial data,” IEEE Access, vol. 8, pp. 165419–165431, Sep. 2020. https://doi.org/10.1109/ACCESS.2020.3022505
- M. Röhler and S. Haghi, “KI-Projekte erfolgreich umsetzen,” in: Leitfaden Künstliche Intelligenz – Potenziale und Umsetzungen im Mittelstand, VDMA, Fraunhofer ICGV, Institute for Machine Tools and Industrial Management (iwb) at the Technical University of Munich, Ed. Frankfurt: Druck- und Verlagshaus Zarbock, 2020, pp. 35–46.
- G. Schwalbe and M. Schels, “A survey on methods for the safety assurance of machine learning based systems,” in 10th European Congress on Embedded Real Time Software and Systems, Toulouse, France, 2020. https://doi.org/10.20378/irb-47275
- E. Glikson and A. Woolley, “Human trust in artificial intelligence: Review of empirical research,” Academy of Management Annals, vol. 14, no. 2, pp. 627–660, Aug. 2020. https://doi.org/10.5465/annals.2018.0057
- European Commission, “Laying down harmonised rules on Artificial Intelligence (Artificial Intelligence Act) and amending certain union legislative act,” Document 52021PC0206, Apr. 2021.
- International Organization for Standardization, “Artificial intelligence concepts and terminology,” ISO/IEC 22989:2022. [Online]. Available on: https://www.iso.org/obp/ui/#iso:std:iso-iec:22989:ed-1:v1:en
- International Organization for Standardization, “Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML),” ISO/IEC 23053:2022.
- International Organization for Standardization, “Governance implications of the use of artificial intelligence by organizations,” ISO/IEC 38507:2022.
- International Organization for Standardization, “Artificial intelligence Management system,” ISO/IEC 42001:2023.
- International Organization for Standardization, “AI system life cycle processes,” ISO/IEC 5338:2023.
- International Organization for Standardization, “Artificial intelligence Data life cycle framework,” ISO/IEC 8183:2023.
- International Organization for Standardization, “Road vehicles Safety of the intended functionality,” ISO 21448:2022.
- International Organization for Standardization, “Artificial intelligence Guidance on risk management,” ISO/IEC 23894:2023.
- International Organization for Standardization, “Artificial intelligence Overview of ethical and societal concerns,” ISO/IEC TR 24368:2022.
- International Organization for Standardization, “Systems and software Quality Requirements and Evaluation (SQuaRE) Quality model for AI systems,” ISO/IEC 25059:2023.
- International Organization for Standardization, “Artificial intelligence Functional safety and AI systems,” ISO/IEC TR 5469:2024.
- Fraunhofer IPA, “veoPipe – Reliable AI in the product development process,” January 2024. [Online]. Available: https://www.ipa.fraunhofer.de/en/reference_projects/veoPipe_Reliable_ AI_product_development_process.html. Accessed on: January 23, 2024.
- VDA German Association of the Automotive Industry, “Automotive SPICE ® Process Reference Model,” Version 4.0, Nov. 2023. [Online]. Available: https://vda-qmc.de/wp-content/uploads/2023/12/Automotive-SPICE-PAM-v40.pdf
Language: English
Page range: 8 - 13
Submitted on: Jan 24, 2024
Accepted on: Jul 10, 2024
Published on: Aug 15, 2024
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year
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© 2024 Sebastian Grundstein, Bernhard Burger, Johannes Schöck, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.