A5051869143- Space Satellite Systems and Control
- Astro and Planetary Science
- Spacecraft Dynamics and Control
- Planetary Science and Exploration
- Target Tracking and Data Fusion in Sensor Networks
- Spacecraft Design and Technology
- Inertial Sensor and Navigation
- Scientific Research and Discoveries
- Aerospace Engineering and Control Systems
- GNSS positioning and interference
- Guidance and Control Systems
- Spacecraft and Cryogenic Technologies
- Geophysics and Gravity Measurements
- Space exploration and regulation
- Space Exploration and Technology
- Stellar, planetary, and galactic studies
- Probabilistic and Robust Engineering Design
- Robotics and Sensor-Based Localization
- Ionosphere and magnetosphere dynamics
- Quantum chaos and dynamical systems
- Numerical methods for differential equations
- Robotic Path Planning Algorithms
- Fault Detection and Control Systems
- Numerical Methods and Algorithms
- Solar and Space Plasma Dynamics
Politecnico di Milano
2016-2025
American Institute of Aeronautics and Astronautics
2024
Massachusetts Institute of Technology
2024
Oceaneering International (United States)
2021
University of Milan
2018-2020
University of Surrey
2017
The problem of nonlinear uncertainty propagation represents a crucial issue in celestial mechanics. In this paper, method for based on differential algebra is presented. Working the framework enables general approach to that can provide highly accurate estimate with low computational cost. mapping statistics shown here, adopting two-body as working framework, including coordinate system transformations. feature proposed also demonstrated by presenting long-term integrations complex dynamic...
The Earth-Moon system is constantly bombarded by meteoroids of different size and impact speed. Observation the impacts on Moon can enable thorough characterization Lunar meteoroid flux, which similar to that Earth. While Earth-based observations are restricted weather, geometric illumination conditions, a Lunar-based observation campaign improve detection rate and, when observing far side, complement in both space time taken from Meteoroid Impact Observer (LUMIO), one two winning concepts...
Abstract The growth of both operational satellites and orbital debris is creating the requirement for more robust Space Surveillance Tracking (SST)-related applications. These systems necessarily must leverage ground-based sensors (optical radar) to realise higher performance solutions. In this context, European Union (EUSST) consortium groups national agencies institutions, in charge carrying out following services: conjunction analysis, fragmentation analysis re-entry prediction, Italian...
The increasing number of objects in Earth orbit has encouraged the development space surveillance and tracking (SST) applications. A critical aspect SST is identification characterization close encounters between pairs objects. present work introduces a tool for analysis conjunctions, consisting several modules. first module, which been shown to greatly speed up process, employs series geometric temporal filters shorten list potential colliding pairs. remaining are then propagated compute...
In the context of space situational awareness, orbit determination and maneuver detection pose considerable challenges given ever increasing number noncooperative satellites that perform unspecified maneuvers at unknown epochs. A new metric is proposed for here, based on measurements from a single surveillance radar. Data radar track are leveraged to derive this metric; it can flag occurrence since last time satellite was observed. scenarios considered in work, main challenge having just few...
Abstract In this study, a novel approach based on the U-Net deep neural network for image segmentation is leveraged real-time extraction of tracklets from optical acquisitions. As in all machine learning (ML) applications, series steps required working pipeline: dataset creation, preprocessing, training, testing, and post-processing to refine trained output. Online websites usually lack ready-to-use datasets; thus, an in-house application artificially generates 360 labeled images....
This paper aims to present a deep learning-based pipeline for estimating the pose of an uncooperative target spacecraft from single grayscale monocular image. The possibility enabling autonomous vision-based relative navigation in close proximity noncooperative resident space object would be especially appealing mission scenarios such as on-orbit servicing and active debris removal. estimation proposed this work leverages state-of-the-art convolutional neural network (CNN) architectures...
To limit the spread of space debris, situational awareness (SSA) delineates guidelines to preserve current assets. Developing effective collision avoidance maneuver (CAM) strategies is emerging as a global top priority among considered countermeasures debris-generating events. Despite most encounters happening over very short time frames, some conjunctions occur longer window, such in geostationary Earth orbit (GEO), where involved objects may have small relative velocities. Besides,...
Correlation plays a crucial role in maintaining space object catalog, serving the purpose of determining if known target produced particular measurement. Statistical distance-based approaches are not always enough when dealing with controlled objects, leading to alternative correlation metrics that exploit effort linking track candidate orbits. This work describes novel optical measurement assistance tool, exploiting optimal control theory backpropagate an admissible region observables...
Abstract The expansion of space exploration has led to a soar in the debris population, increasing risks collisions. Addressing this challenge requires advanced surveillance technologies. Traditional computer vision approaches are unsuitable for real-time applications due their significant computational demands. Recent progress been made ground-based detection, thanks integration CNNs. However, overcome limitations imposed by atmosphere and other external disturbances, space-based framework...
This work presents robust and numerically efficient algorithms for designing low-thrust collision avoidance maneuvers in short-term encounters. The conjunction dynamics are developed a tridimensional space then projected onto the B-plane, centered at secondary object. Energy- fuel-optimal computed by constraining probability or miss distance. A fully analytical approach is derived energy-optimal maneuvers, providing good guess problem. proposed methods validated terms of efficiency...
The increasing population of resident space objects is currently fostering many surveillance initiatives, which rely on the use on-ground sensors. In particular, survey radars allow to first characterise target orbit from a single transit, through measurements are Doppler shift, slant range and angular profile. this framework, Music Approach for Track Estimate Refinement (MATER) algorithm was developed compute track MUltiple SIgnal Classification (MUSIC), by solving possible ambiguities may...
Active debris removal and unmanned on-orbit servicing missions have gained interest in the last few years, along with possibility to perform them through use of an autonomous chasing spacecraft. In this work, new resources are proposed aid implementation guidance, navigation, control algorithms for satellites devoted inspection noncooperative targets before any proximity operation is initiated. particular, convolutional neural networks (CNN) performing object detection instance segmentation...
In recent years, space debris has become a threat for satellites operating in low Earth orbit. Even by applying mitigation guidelines, their number will still increase over the course of century. As consequence, active removal missions and on-orbit servicing have gained momentum at both academic industrial level. The crucial step scenarios is capability navigating neighborhood target resident object. This problem been tackled many times literature with varying level cooperativeness required....
In the last decades, growing in-orbit population of resident space objects has become one main concerns for agencies and institutions worldwide. this context, fragmentations further contribute to increase number debris and, operationally, it is fundamental identify event epoch as soon possible, even when just a single fragment orbital state, resulting from an Initial Orbit Determination (IOD) process, available. This work illustrates Fragmentation Epoch Detector (FRED) algorithm, which deals...