Artificial Intelligence offers great potential for automotive development because it offers the opportunity to develop new or enhanced functionalities. To make that a reality, automotive development processes and methods need to be enhanced. In this paper we show how inductive learning instead of programming of functions changes development and how the requirements for this need be expanded. Furthermore, there is a need for a specific AI test strategy and test execution. We will also argue the need to further reduce the duration of development cycles and to increase the flexibility of resource allocation. In addition, the provision of data becomes a basic building block of successful AI development, which needs to be planned and managed properly. All these changes can become severe challenges. Best practices and experiences will be used in a reference model for the quick and detailed assessment of AI based automotive development. This way, the necessary changes can be implemented and mastered much faster and the benefits from AI through can be utilized much earlier.


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    Titel :

    Quick Start with AI for Automotive Development: Five Process Changes and One New Process


    Weitere Titelangaben:

    Proceedings


    Beteiligte:
    Bargende, Michael (Herausgeber:in) / Reuss, Hans-Christian (Herausgeber:in) / Wagner, Andreas (Herausgeber:in) / Bodenhausen, Ulrich (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2021-05-14


    Format / Umfang :

    16 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Deutsch






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