Automatically detecting anomalous noise in vehicles and identifying their cause(s) is a challenge, which, as long as it exists, has never been resolved in any satisfactory and universal manner, until now. Given the complexity of the input variables, conventional methods of signal processing quickly reach their limits. This is where AI-based methods of detecting and classifying anomalous acoustic events promise significant advancements.

    In this paper we show how to detect anomalous vehicle noises with an AI-based approach, we evaluate the precision of the algorithm and possible optimizations, give a concept on how to integrate such a functionality into modern cars, and, finally, give an outlook on latest advancements.


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    Titel :

    AI-Based, Automated Acoustic Diagnostics in Vehicles


    Weitere Titelangaben:

    Proceedings


    Beteiligte:
    Heintzel, Alexander (Herausgeber:in) / Roy, Alexander (Autor:in)

    Kongress:

    International ATZ Conference on Vehicle Acoustics ; 2021 November 16, 2021 - November 17, 2021


    Erschienen in:

    Erscheinungsdatum :

    30.08.2023


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Deutsch





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