AeroSpec: An Adaptive Spectrum Framework for Autonomous Aerial Systems: Optimization, Dece — NSF Award to University of Kansas Cen
Unmanned aerial systems (UAS) are expected to see rapid growth in the coming decade with millions of autonomous flights annually. To fully unlock the potentials of UAS and advanced air mobility (AAM) technologies, most flights will need to operate in beyond visual line-of-sight (BVLOS) scenarios. Despite being autonomo
| Award title | AeroSpec: An Adaptive Spectrum Framework for Autonomous Aerial Systems: Optimization, Dece |
|---|---|
| Award ID | 2434113 |
| Awardee | University of Kansas Center for Research Inc |
| City | LAWRENCE |
| State | KS |
| Amount obligated | $760,000 |
| Principal investigator | Morteza Hashemi |
| Program | SII-Spectrum Innovation Initia, Special Projects - CNS |
| Start date | 07/15/2025 |
| Abstract | Unmanned aerial systems (UAS) are expected to see rapid growth in the coming decade with millions of autonomous flights annually. To fully unlock the potentials of UAS and advanced air mobility (AAM) technologies, most flights will need to operate in beyond visual line-of-sight (BVLOS) scenarios. Despite being autonomous, BVLOS flight operations require reliable communication links with ground stations and other aircraft to ensure safety and efficiency in the national airspace. However, there is |
| Source | NSF Awards |
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