ERI: Deep Analytics Framework for Location Integrity and Awareness for Reliable UAV-assist — NSF Award to EAST TEXAS A&M UNIVERSIT
Unmanned aerial vehicles (UAVs) play a crucial role in various applications, including agriculture, disaster management, and military purposes, where location integrity and awareness are essential. However, current methods relying on GPS signals face challenges in extreme conditions, such as signal unavailability or co
| Award title | ERI: Deep Analytics Framework for Location Integrity and Awareness for Reliable UAV-assist |
|---|---|
| Award ID | 2502117 |
| Awardee | EAST TEXAS A&M UNIVERSITY |
| City | COMMERCE |
| State | TX |
| Amount obligated | $198,583 |
| Principal investigator | Jinoh Kim |
| Program | ERI-Eng. Research Initiation |
| Start date | 10/01/2025 |
| Abstract | Unmanned aerial vehicles (UAVs) play a crucial role in various applications, including agriculture, disaster management, and military purposes, where location integrity and awareness are essential. However, current methods relying on GPS signals face challenges in extreme conditions, such as signal unavailability or compromise. To address this limitation, this project investigates a trajectory-based analysis, inspired by the nautical practice of "dead reckoning," which estimates the position of |
| Source | NSF Awards |
$799/mo
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