The constant market pressure in the automotive industry has led to significantly shorter development cycles and enormous product diversification. This presents vehicle manufacturers with the challenge of handling the high level of complexity. Not only does the system's susceptibility to errors increase, but the vehicle's networked structure also makes troubleshooting difficult.

    Digital Twins are one approach to overcome these challenges. They replicate the real vehicle and form the basis of virtual insight studies – how will the vehicle behave in a particular situation, why does it do so? But the question arises where the necessary data comes from to create accurate simulations.

    The presented method developed at FKFS is intended to contribute to the improvement of the data basis of Digital Twins. For this purpose, it is first motivated what amount of data is generated in the vehicle during test drives and why it is useful for the virtual mapping of the vehicle. It can be shown that the current as well as future infrastructure will not be sufficient to completely and continuously transmit the large amount of data being accumulated during test driving. The presented method is dedicated to a more efficient data transmission of vehicle signals, which is characterized by significantly improved compression ratios compared to conventional transmission protocols.


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    Title :

    Enhancing Ground Truth for Digital Twins by Complete and Real-Time Upload of Vehicle Signals


    Additional title:

    Proceedings



    Published in:

    Publication date :

    2022-03-14


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    German





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