5 papers
Far from the Crowd: Scalable Self-Supervised Learning via Geographic Isolation
Daniele Rege Cambrin, Francesco Rossi, Mattia Varile
Self-supervised pretraining on remote sensing imagery typically treats all samples as equally informative, despite large variability in geographic and visual structure. We propose…
An efficient neuromorphic approach for collision avoidance combining Stack-CNN with event cameras
Antonio Giulio Coretti, Mattia Varile, Mario Edoardo Bertaina
Space debris poses a significant threat, driving research into active and passive mitigation strategies. This work presents an innovative collision avoidance system utilizing event…
Neural-based Control for CubeSat Docking Maneuvers
Matteo Stoisa, Federica Paganelli Azza, Luca Romanelli +1
Autonomous Rendezvous and Docking (RVD) have been extensively studied in recent years, addressing the stringent requirements of spacecraft dynamics variations and the limitations o…
Optimizing Multi-Task Learning for Accurate Spacecraft Pose Estimation
Francesco Evangelisti, Francesco Rossi, Tobia Giani +2
Accurate satellite pose estimation is crucial for autonomous guidance, navigation, and control (GNC) systems in in-orbit servicing (IOS) missions. This paper explores the impact of…
Machine Learning in Space: Surveying the Robustness of on-board ML models to Radiation
Kevin Lange, Federico Fontana, Francesco Rossi +2
Modern spacecraft are increasingly relying on machine learning (ML). However, physical equipment in space is subject to various natural hazards, such as radiation, which may inhibi…