Maneuver and Data Optimization for High Confidence Testing of Future Automotive Cyber-Physical Systems

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Abstract:

 This project addresses urgent challenges in high confidence validation and verification of automotive vehicles due to on-going and anticipated introduction of advanced, connected and autonomous vehicles into mass production. Since such vehicles operate across both physical and cyber domains, faults can occur in traditional physical components, in cyber components (i.e., algorithms, processors, networks, etc.), or in both.

  • AVL
  • CPS diagnostics
  • Data mining
  • lifecycle management
  • test trajectory optimization
  • University of Michigan
  • Automotive
  • CPS Domains
  • Testing
  • Control
  • Modeling
  • Transportation
  • Validation and Verification
  • Foundations
  • National CPS PI Meeting 2015
  • 2015
  • Abstract
  • Poster
  • Academia
  • 2015 CPS PI MTG Videos, Posters, and Abstracts
Submitted by Ella Atkins on