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Structuring the Safety Argumentation for Deep Neural Network Based Perception in Automotive Applications.

Gesina SchwalbeBernhard KnieTimo SämannTimo DobberphulLydia GauerhofShervin RaafatniaVittorio Rocco
Published in: SAFECOMP Workshops (2020)
Keyphrases
  • safety critical
  • neural network
  • visual perception
  • human perception
  • defeasible reasoning
  • automotive industry
  • legal reasoning
  • evidential reasoning
  • conceptual change
  • practical reasoning
  • spare parts