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SAFR-AV: Safety Analysis of Autonomous Vehicles Using Real World Data: An End-to-End Solution for Real World Data Driven Scenario-Based Testing for Pre-Certification of AV Stacks.

Sagar PathrudkarSaadhana VenkataramanDeepika KanadeAswin AjayanPalash GuptaShehzaman Salim KhatibVijaya Sarathi IndlaSaikat Mukherjee
Published in: VEHITS (2023)
Keyphrases
  • end to end
  • data driven
  • autonomous vehicles
  • real world
  • safety analysis
  • fault model
  • text localization and recognition
  • real time
  • neural network
  • control system
  • safety critical
  • symbolic model checking