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Cognitive Opportunistic Navigation Using Unknown Reference Signals
TS-073173 — Modern navigation systems increasingly rely on signals of opportunity such as 5G and LEO satellite downlinks, but these signals often lack public reference‑signal specifications, may be dynamic or on‑demand, and can suffer from severe Doppler effects. Conventional receivers cannot reliably acq…
  • College: College of Engineering (COE)
  • Inventors: Kassas, Zak; Neinavaie, Mohammad
  • Licensing Officer: Ashouripashaki, Mandana

AI-Driven Intersection Safety System for Vulnerable Road User Protection
TS-070954 — The Need Intersections are among the most dangerous areas on U.S. roadways, accounting for approximately 25% of traffic fatalities and nearly half of all injuries annually. Vulnerable Road Users (VRUs), including pedestrians and cyclists, face increasing risk due to complex traffic dynamics and limi…
  • College: College of Engineering (COE)
  • Inventors: Yurtsever, Ekim; Giuliani, Michele; Rizzoni, Giorgio
  • Licensing Officer: Ashouripashaki, Mandana

GPS Independent Lane Level Vehicle Localization
TS-069654 — Technology bundle containing T2025-148 and T2024-150.
The Need Reliable vehicle localization is critical for autonomous and human-driven vehicles, especially in GPS-denied environments such as dense urban areas, tunnels, and off-road farms and construction sites. Current localization methods relying solely on GPS are prone to signal loss and inaccurac…
  • College: College of Engineering (COE)
  • Inventors: Javed, Nur Uddin; Ahmed, Qadeer
  • Licensing Officer: Ashouripashaki, Mandana

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