Daniel Tortei — accepted AI-conference papers

2024

STHN: Deep Homography Estimation for UAV Thermal Geo-Localization With Satellite Imagery

Jiuhong Xiao, Ning Zhang, Daniel Tortei, Giuseppe Loianno

RA-L 2024

Accurate geo-localization of Unmanned Aerial Vehicles (UAVs) is crucial for outdoor applications including search and rescue operations, power line inspections, and environmental monitoring. The vulnerability of Global Navigation Satellite Systems (GNSS) signals to interference and spoofing necessit

Cited by 12 Source ↗code ↗Scholar ↗

2023

Long-Range UAV Thermal Geo-Localization with Satellite Imagery

Jiuhong Xiao, Daniel Tortei, Eloy Roura, Giuseppe Loianno

IROS 2023poster

Onboard sensors, such as cameras and thermal sensors, have emerged as effective alternatives to Global Positioning System (GPS) for geo-Iocalization in Unmanned Aerial Vehicle (UAV) navigation. Since GPS can suffer from signal loss and spoofing problems, researchers have explored camera-based techni…

Cited by 9 Source ↗code ↗Scholar ↗