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Data-driven Development | AI Accelerating the Process

  • 01-11-2023
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Excerpt

The article delves into the critical role of data-driven development in the automotive industry, emphasizing the need for precise and consistent data acquisition to support accurate decision-making. It highlights the importance of focused analysis and interpretation of data, as well as close collaboration between development teams. The strategic use of artificial intelligence is identified as a key factor in the success of data-driven development, with a particular focus on the potential applications and savings in the automotive sector. The article also addresses the challenges and necessary adaptations for AI development, especially in advancing automated driving technologies beyond level 3+ and the e-horizon. By combining AI-based parameter space exploration with suitable simulation environments, the article offers a compelling vision for the future of efficient driving and automated vehicle development.

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Title
Data-driven Development | AI
Accelerating the Process
Author
Alexander Heintzel
Publication date
01-11-2023
Publisher
Springer Fachmedien Wiesbaden
Published in
ATZelectronics worldwide / Issue 11/2023
Electronic ISSN: 2524-8804
DOI
https://doi.org/10.1007/s38314-023-1550-9
    Image Credits
    AVL List GmbH/© AVL List GmbH, dSpace, BorgWarner, Smalley, FEV, Xometry Europe GmbH/© Xometry Europe GmbH, The MathWorks Deutschland GmbH/© The MathWorks Deutschland GmbH, HORIBA/© HORIBA, Outokumpu/© Outokumpu, Gentex GmbH/© Gentex GmbH, Ansys, Yokogawa GmbH/© Yokogawa GmbH, Softing Automotive Electronics GmbH/© Softing Automotive Electronics GmbH, measX GmbH & Co. KG, Hirose Electric GmbH/© Hirose Electric GmbH