To explore, discover, and understand the impact on safety of growing complexity introduced by modernization aimed at improving the efficiency of flight, the access to airspace, and/or the expansion of services provided by air vehicles. To develop and demonstrate innovative solutions that enable this modernization and the aviation transformation envisioned by ARMD through proactive mitigation of risks in accordance with target levels of safety.


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    Titel :

    Problems in Machine Learning-Based Systems for Safety-Critical Avionics


    Beteiligte:

    Kongress:

    DARPA Proposers' Day ; 2022 ; Virtual, US


    Medientyp :

    Sonstige


    Format :

    Keine Angabe


    Sprache :

    Englisch





    Reusing Safety-Critical Avionics Software

    King, Tim | SAE Technical Papers | 2012


    Reusing Safety-Critical Avionics Software

    King, T. | British Library Conference Proceedings | 2012