While the European Union Aviation Safety Agency pushes towards artificial intelligence and neural networks, their introduction is still prevented by a lack of reliable high-performance platforms. This paper addresses this gap by adopting the novel Timing Diversity approach from the real-time community and adapting it to the avionics domain to achieve a reliable and safe timing behavior on system-level. Timing Diversity provides a safety net to handle unexpected timing outliers of multi-core processors by exploiting existing modular redundancy. The system design is illustrated using a neural network-based runway detection, deploying different multi-core hardware and diverse software algorithms. Furthermore, error handling and compliance to current acceptable means according to AMC 20-193 are discussed.


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    Titel :

    Safe Usage of Multi-Cores in Neural Network Avionics Applications


    Beteiligte:
    Hapka, Robin (Autor:in) / Christmann, Anika (Autor:in) / Ernst, Rolf (Autor:in) / Kuzolap, Alexander (Autor:in) / Hecker, Peter (Autor:in) / Rockschies, Marius (Autor:in) / Halle, Martin (Autor:in) / Thielecke, Frank (Autor:in)


    Erscheinungsdatum :

    2023-10-01


    Format / Umfang :

    2704496 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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