Today’s roads resemble a large anthill, in which countless cars are constantly on the move. There is a human behind the steering wheel of every vehicle, but assistance systems become popular in recent years. Until 20 years ago, a car was a completely practical mechanical device without any embedded electronic systems. Recently, we have seen these systems constantly evolving, and being installed in every new vehicle, which is progressively leading to autonomous vehicles.This is fully in line with the concept of smart cities, where one of its areas is defined as intelligent mobility, where autonomous vehicles belong.These vehicles already generate a huge amount of data. This article defines the current legal framework regarding data in autonomous vehicles. These data are then presented and the classification based on the degree of data personality is suggested. The last part of the article is the design of software that will help manufacturers and administrators with data protection issues.


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    Titel :

    Classification of non-personal data in autonomous vehicles


    Beteiligte:
    Vanis, Miroslav (Autor:in) / Zelinka, Tomas (Autor:in) / Scerba, Tomas (Autor:in) / Starkova, Anna (Autor:in)


    Erscheinungsdatum :

    26.05.2022


    Format / Umfang :

    3866879 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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