arplaboratory/UASTHN
[ICRA 2025] Official repository for "UASTHN: Uncertainty-Aware Deep Homography Estimation for UAV Satellite-Thermal Geo-localization"
This project helps pinpoint the exact location of Unmanned Aerial Vehicles (UAVs) using thermal camera footage, even at night or in challenging conditions. It takes thermal images captured by a drone and a corresponding satellite map of the area, then precisely matches them to determine the drone's coordinates. This is especially useful for professionals like search and rescue teams, surveillance operators, or environmental surveyors who need accurate geo-localization from airborne thermal data.
Use this if you need to precisely geo-locate a UAV from thermal imagery, especially in situations where traditional GPS might be unreliable or unavailable, or for operations requiring nighttime aerial surveillance.
Not ideal if your primary need is general visual geo-localization during daylight with standard optical cameras, as this tool is specifically designed for thermal-to-satellite image matching.
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Jupyter Notebook
License
MIT
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Last pushed
Feb 28, 2026
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