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Artificial Neural Networks

Visual-Based Lunar Positioning Using a Multi-Stage Multi-Head Neural Network
The Moon has emerged as a central focus in contemporary space exploration, as evidenced by the growing deployment of satellites for …
Alessio Derobertis, Toshinori Kuwahara, Paolo Lunghi
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Optical Navigation for Lunar Landing Based on Convolutional Neural Network Crater Detector
Traditional vision-based navigation algorithms are highly affected from non-nominal conditions, which comprise illumination conditions …
Stefano Silvestrini, Margherita Piccinin, Giovanni Zanotti, Andrea Brandonisio, Ilaria Bloise, Lorenzo Feruglio, Paolo Lunghi, Michèle Lavagna, Mattia Varile
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Spacecraft Pose Estimation via Monocular Image Processing: Dataset Generation and Validation
A new tool capable of rendering high-quality spaceborne synthetic images via ray-tracing is here presented. The assumptions and …
Michele Bechini, Paolo Lunghi, Michèle Lavagna
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Small Bodies Non-Uniform Gravity Field On-Board Learning through Hopfield Neural Networks
Small bodies environment is usually difficult to be modelled for a number of reasons. Among the others, the uncertainty associated to …
Andrea Pasquale, Stefano Silvestrini, Andrea Capannolo, Paolo Lunghi, Michèle Lavagna
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Artificial Intelligence Techniques in Autonomous Vision-Based Navigation System for Lunar Landing
Traditional vision-based relative navigation algorithms are highly affected from non-nominal conditions,which comprise illumination …
Stefano Silvestrini, Paolo Lunghi, Margherita Piccinin, Giovanni Zanotti, Michèle Lavagna
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Experimental Validation of Synthetic Training Set for Deep Learning Vision-Based Navigation Systems for Lunar Landing
A vision-based navigation system using AI to solve the task of pinpoint landing on the Moon is being developed at Politecnico di Milano …
Stefano Silvestrini, Paolo Lunghi, Margherita Piccinin, Giovanni Zanotti, Michèle Lavagna
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Hazard Detection and Avoidance Systems for Autonomous Planetary Landing
Precise and autonomous landing capability is a key feature for the next space systems generation. The possibility to carry out Hazard …
Paolo Lunghi
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A Multilayer Perceptron Hazard Detector for Vision-Based Autonomous Planetary Landing
A hazard detection and target selection algorithm for autonomous spacecraft planetary landing, based on Artificial Neural Networks, is …
Paolo Lunghi, Marco Ciarambino, Michèle Lavagna
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Development, Validation and Test of Optical Based Algorithms for Autonomous Planetary Landing
Marco Ciarambino, Paolo Lunghi, Luca Losi, Michèle Lavagna
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A Hazard Detection and Avoidance System for Autonomous Planetary Landing
Paolo Lunghi, Marco Ciarambino, Michèle Lavagna
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