4 papers · 1 filter
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…