Classification for Avionics Capabilities Enabled by Artificial Intelligence

被引：0

作者：

Schweiger, Andreas ^{[1
]}

Annighoefer, Bjoern ^{[2
]}

Reich, Marina ^{[1
]}

Regli, Christoph ^{[3
]}

Moy, Yannick ^{[4
]}

Soodt, Thomas ^{[5
]}

de Cacqueray, Alexis ^{[1
]}

Redon, Romaric ^{[6
]}

机构：

[1] Airbus Def & Space GmbH, Taufkirchen, Germany

[2] Univ Stuttgart, Stuttgart, Germany

[3] Zurich Univ Appl Sci ZHAW, Sch Engn, Zurich, Switzerland

[4] AdaCore, New York, NY USA

[5] German Aerosp Ctr DLR, Cologne, Germany

[6] Airbus SE, Leiden, Netherlands

来源：

2021 IEEE/AIAA 40TH DIGITAL AVIONICS SYSTEMS CONFERENCE (DASC) | 2021年

关键词：

artificial intelligence; machine learning; perception; planning; reasoning; standards; certification; qualification;

D O I：

10.1109/DASC52595.2021.9594364

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

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.

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页数：10

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