Mastodon

2

Robust Spacecraft Relative Pose Estimation via CNN-aided Line Segments Detection in Monocular Images
Autonomous spacecraft relative navigation via monocular images became a hot topic in the past few years and, recently, received a …
Michele Bechini, Geonmo Gu, Paolo Lunghi, Michèle Lavagna
Cite DOI Full-text
Robust Spacecraft Relative Pose Estimation via CNN-aided Line Segments Detection in Monocular Images
Dataset Generation and Validation for Spacecraft Pose Estimation via Monocular Images Processing
Recent studies demonstrate the possibility of navigating in proximity of uncooperative space resident objects by using only monocular …
Michele Bechini, Michèle Lavagna, Paolo Lunghi
Cite DOI Full-text
Centralized/Decentralized Indirect Robust Adaptive Control for Spacecraft Attitude and Robotics
The diffuse presence of robotic subsystems in new space mission concepts introduces variations and uncertainties in system mass and …
Aureliano Rivolta, Paolo Lunghi
Cite DOI Preprint
Semi-Analytical Adaptive Guidance Computation for Autonomous Planetary Landing
A novel algorithm for autonomous landing guidance computation is presented. The trajectory is expressed in polynomial form of minimum …
Paolo Lunghi, Pierluigi Di Lizia, Roberto Armellin, Michèle Lavagna
Cite DOI Preprint
Implicit Extended Kalman Filter for Optical Terrain Relative Navigation Using Delayed Measurements
The exploration of celestial bodies such as the Moon, Mars, or even smaller ones such as comets and asteroids, is the next frontier of …
Stefano Silvestrini, Margherita Piccinin, Giovanni Zanotti, Andrea Brandonisio, Paolo Lunghi, Michèle Lavagna
Cite DOI Full-text
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
Cite DOI Preprint
Deep Reinforcement Learning - Based Policy for Autonomous Planning of Small Celestial Bodies Mapping
This paper deals with the problem of mapping unknown small celestial bodies while autonomously navigating in their proximity with an …
Margherita Piccinin, Paolo Lunghi, Michèle Lavagna
Cite DOI Preprint
Oxygen Extraction from Lunar Dry Regolith: Thermodynamic Numerical Characterization of the Carbothermal Reduction
In Situ Resource Utilization constitutes an enabling technology for future, long-term human space exploration. The potentiality of …
Ivan Troisi, Paolo Lunghi, Michèle Lavagna
Cite DOI Preprint
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
Cite DOI
High Energy Modular Ensemble of Satellites Mission: Towards the Final Full Constellation
The High Energy Modular Ensemble of Satellites (HERMES) project intends to build an all-sky monitor operating from keV to MeV for the …
Marco Cinelli, Simonetta Puccetti, Michèle Lavagna, Paolo Lunghi, Giuseppe Pucacco
Cite DOI