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Vehicle-in-Virtual-Environment Method for Autonomous Driving System Development and Evaluation
TS-054005 — This technology is a Vehicle-in-Virtual Environment (VVE) method for testing and evaluating Autonomous Vehicles (AV). The VVE approach is a safe, reliable, repetitive, and scalable method of testing AVs, decreasing the risks and costs of testing AVs on public roads.
The demand for autonomous vehicles continues to grow as companies and cities realize the effect on the costs, safety, and efficiency that AVs have on everyday lives. Initiatives such as MCity in Detroit, Michigan, and Smart City in Columbus, Ohio, show a strong commitment to the development of aut…
  • College: College of Engineering (COE)
  • Inventors: Guvenc, Levent; Aksun Guvenc, Bilin
  • Licensing Officer: Zinn, Ryan

Finding rare events by knowing where NOT to look
TS-051417 — Traditional regression analysis has been a staple in predicting cause-effect relationships. Counltess industries use these methods to predict rare events, from economic issues to cancer research, causality is often a desired result. Given the vast amount of potential variables it sometimes becomes…
  • College: College of Arts & Sciences
  • Inventors: Melamed, David; Schoon, Eric
  • Licensing Officer: Hampton, Andrew

Concept Discovery from Text via Knowledge Transfer
TS-050856 — A better way for systems to organize, file, or index documents or content based on actual or anticipated information needed in the form of a user query or natural language question.
Data Processing and (IT)-related activities, ranging from web hosting to automated data entry services are more important than ever due to the large amounts of data collected through technology. According to IBIS World, "Companies will increasingly capture more data, requiring the outside exp…
  • College: College of Engineering (COE)
  • Inventors: Das, Manirupa; Fosler-Lussier, John Eric; Ramnath, Rajiv
  • Licensing Officer: Hampton, Andrew

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