Every year again new technologies related to automotive computing emerge. These techniques on the one hand emerge from university or company research centres. On the other hand, they slide in from adjoining domains. The incorporation in the automobile of most of these techniques takes several years. Not all these new or borrowed technologies will develop to maturity. The selection of the technology to focus on depends on the available insight in high potentials and on the used social-economic scenario for the future. For as well industries as consulting companies the selection of the right future technology is a process of glass-ball-watching. In this paper, we present a method to prevent our customers to make high investments in techniques that would not last. To enable that, we developed a method to enhance the quality of the predicted future development of technology. Based on experiences with the development of other techniques, this method enables us to define the current state of a technique and it's potential state-transitions. These potential transitions are one of the indicators for the potential future impact of a technology. Combining the acceptation cycles of different adjoining technologies supports the selection of potential future growth-markets.


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    Titel :

    Trend detection in automotive computing


    Weitere Titelangaben:

    Ermittlung von Trends bei der Automobilberechnung


    Beteiligte:
    Boelen, A.J. (Autor:in) / Rutten, B.J.C.N. (Autor:in) / Meijer, G.R. (Autor:in)


    Erscheinungsdatum :

    2000


    Format / Umfang :

    8 Seiten, 2 Bilder, 13 Quellen



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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