Skip to content

Atlas / Learn / Papers / 343731f7aabe9c183b789e3f82fd8c246a36f56d

Semantic Scholar · Article (SAFECOMP Workshops)

Considerations of Artificial Intelligence Safety Engineering for Unmanned Aircraft

Published 2018-09-18 From SAFECOMP Workshops 4 authors

Attribution

This is the abstract and citation. Full text lives at Semantic Scholar — we link out rather than host. All credit to the authors and SAFECOMP Workshops.

Abstract

Verbatim from Semantic Scholar. Not paraphrased, not summarized.

This work presents the current certification practices in unmanned aviation in the context of autonomy and artificial intelligence and shows how the specific operation risk assessment might be used as an enabler for hard-to-certify techniques by taking the operation into account during system design.

Authors

  • Sebastian Schirmer
  • Christoph Torens
  • F. Nikodem
  • Johann C. Dauer

Keywords

  • Computer Science
  • Engineering

Citation: Sebastian Schirmer, Christoph Torens, F. Nikodem , et al. (2018). Considerations of Artificial Intelligence Safety Engineering for Unmanned Aircraft. SAFECOMP Workshops. Semantic Scholar ID 343731f7aabe9c183b789e3f82fd8c246a36f56d. https://doi.org/10.1007/978-3-319-99229-7_40 ↗