Synergy: Anytime Visual Scene Understanding for Heterogeneous and Distributed Cyber-Physical Systems

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Abstract:

Despite many advances in vehicle automation, much remains to be done: the best autonomous vehicle today still lags behind human drivers, and connected vehicle (V2V) and infrastructure (V2I) standards are only just emerging. In order for such cyber-physical systems to fully realize their potential, they must be capable of exploiting one of the richest and most complex abilities of humans, which we take for granted: seeing and understanding the visual world.

  • Carnegie Mellon University
  • computer vision
  • scene understanding
  • Architectures
  • Automotive
  • CPS Domains
  • Control
  • Wireless Sensing and Actuation
  • Transportation
  • CPS Technologies
  • Education
  • Foundations
  • National CPS PI Meeting 2015
  • 2015
  • Abstract
  • Poster
  • Academia
  • 2015 CPS PI MTG Videos, Posters, and Abstracts
Submitted by Srinivasa Narasimhan on