The traditional automotive homologation processes aim to ensure the safety of vehicles on public roads. Autonomous Vehicles (AV) with Artificial Intelligence (AI) are difficult to account for in these conventional processes. This research aims to map and attempt to close the gaps in the areas of testing and approval of such automated and connected vehicles. During our research into the homologation process of traditional vehicles; functional safety issues, challenges of AI in safety critical systems, along with questions of cyber security were investigated. Our process focuses on the integration of the already existing functions and prototypes into new products safely. As a key result, we managed to identify the main gaps between Information and Communication Technology (ICT) and automotive technology: the rigidity of the automotive homologation process, functional safety, AI in safety critical areas and we propose a solution.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Challenges in homologation process of vehicles with artificial intelligence


    Beteiligte:
    Máté Zöldy (Autor:in) / Zsolt Szalay (Autor:in) / Viktor Tihanyi (Autor:in)


    Erscheinungsdatum :

    2020




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Challenges in Ultra-Wide Band Worldwide Radio Homologation

    Rebello, Agnetta / Gambhir, Ameya / Ethape, Srushti | SAE Technical Papers | 2019


    Fahrerassistenzsysteme - Homologation

    Wittig,J. / DaimlerChrysler,Stuttgart,DE | Kraftfahrwesen | 2001


    Challenges in Ultra-Wide Band Worldwide Radio Homologation

    Gambhir, Ameya / Ethape, Srushti / Rebello, Agnetta | British Library Conference Proceedings | 2019


    Homologation, certification, Asquer

    Mangin, S. | Online Contents | 1995


    Kraftrad:Freigabeverfahren, Pruefkriterien, Homologation

    Sagerer,R. / TUeV Bayern,Muenchen,DE | Kraftfahrwesen | 1987