11 citations · 11 across the 3 of their papers we have counts for
4 papers
Onboard-Targeted Segmentation of Straylight in Space Camera Sensors
Riccardo Gallon, Fabian Schiemenz, Alessandra Menicucci +1
This study details an artificial intelligence (AI)-based methodology for the semantic segmentation of space camera faults. Specifically, we address the segmentation of straylight e…
Addressing Camera Sensors Faults in Vision-Based Navigation: Simulation and Dataset Development
Riccardo Gallon, Fabian Schiemenz, Alessandra Menicucci +1
The increasing importance of Vision-Based Navigation (VBN) algorithms in space missions raises numerous challenges in ensuring their reliability and operational robustness. Sensor…
Convolutional Neural Network Design and Evaluation for Real-Time Multivariate Time Series Fault Detection in Spacecraft Attitude Sensors
Riccardo Gallon, Fabian Schiemenz, Alessandra Menicucci +1
Traditional anomaly detection techniques onboard satellites are based on reliable, yet limited, thresholding mechanisms which are designed to monitor univariate signals and trigger…
Machine Learning-based vs Deep Learning-based Anomaly Detection in Multivariate Time Series for Spacecraft Attitude Sensors
R. Gallon, F. Schiemenz, A. Krstova +2
In the framework of Failure Detection, Isolation and Recovery (FDIR) on spacecraft, new AI-based approaches are emerging in the state of the art to overcome the limitations commonl…