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Classification for Avionics Capabilities Enabled by Artificial Intelligence

Andreas Schweiger, Bjoern Annighoefer, Marina Reich, Christoph Regli, Yannick Moy, Thomas Soodt, Alexis de Cacqueray, Romaric Redon

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Abstract

Artificial Intelligence extended the limits considerably of what is technically feasible. In avionics, stakeholders are also pushing AI. However, research results are usually confronted with restrictions in avionics: Safety and certification are often assumed as showstoppers. This is not quite precise, since stakeholders are approaching each other. We collect the demand for AI applications in avionics and develop a classification scheme for these. For each identified AI class the status quo is compiled. We conclude with an assessment of AI readiness and the identification of necessary research effort for AI in avionics.

Topics & Concepts

AvionicsStatus quoCertificationIdentification (biology)Computer scienceIntegrated modular avionicsEngineeringArtificial intelligenceSoftware engineeringSystems engineeringRisk analysis (engineering)BusinessManagementAerospace engineeringEconomicsBiologyBotanyMarket economyAdversarial Robustness in Machine LearningExplainable Artificial Intelligence (XAI)Fault Detection and Control Systems