Selected inventions, peer-reviewed defence R&D publications, and academic theses bridging computer vision, sensor fusion, and flight dynamics.
Patent ES-3036714_A1 · Airbus Defence and Space (2024)
Co-inventor (F. Echevarría Corrales, J. V. González Calatayud). Geometric computer vision method for accurate 3D relative pose estimation in GPS-denied environments and precision landing operations.
8th National R&D Security and Defence Conference (DESEi+d) · León, Spain (2020)
F. Echevarría Corrales, J. M. Pulido Fernández, and M. A. de Frutos Carro. Visual navigation and state estimation architectures enabling autonomous UAV operation without satellite navigation.
M.Sc. Research in Artificial Intelligence · UNED (2021)
Application of machine learning and neural system identification methods to estimate aircraft aerodynamic derivatives directly from recorded flight telemetry.
B.Sc. Aerospace Engineering · Universidad Politécnica de Madrid — UPM (2016)
Development of a flight dynamics simulation and automated control law tuning framework for fixed-wing unmanned aerial vehicles.
M.Sc. Thesis Supervised at Airbus Defence & Space / UPV (2023) — 1st Prize INECO/REDFUE
Advised J. V. González Calatayud. Honored with 1st Prize at the Excellence in Engineering Internship Awards (INECO / REDFUE).
B.Sc. Thesis Supervised at UAV Navigation / UPM (2019)
Advised F. J. González-Vico Puertas on infrared computer vision algorithms for relative UAV positioning and automated recovery.