SAR Image Formation: Conventional and AI-based approaches on Sentinel-1 Raw Products
YOLO v4 Based Algorithm for Resident Space Object Detection and Tracking
GPU@SAT: a general-purpose programmable accelerator for on board data processing and satellite autonomy
Overview of Meta-Reinforcement Learning Methods for Autonomous Landing Guidance
Satellite IoT for TT&C and Satellite Identification
Hardware-in-the-loop simulations of future autonomous space systems aided by artificial intelligence
Deep Reinforcement Learning for Pin-Point Autonomous Lunar Landing: Trajectory Recalculation for Obstacle Avoidance
Imbalanced data handling for deep learning-based autonomous Crater Detection Algorithms in Terrain Relative Navigation
Comparative Analysis of Reinforcement Learning Algorithms for Robust Interplanetary Trajectory Design
Distribution Shift Metric for Performance Evaluation of Behavioral Cloning Applied to the Fuel-Optimal Landing Problem
Fault Detection Exploiting Artificial Intelligence in Satellite Systems
ISS Monocular Depth Estimation Via Deep Learning
RobDT: AI-enhanced Digital Twins for Space Exploration Robotic Assets
An Overview of X-TFC Applications for Aerospace Optimal Control Problems
Innovative ML-based methods for automated on-board spacecraft anomaly detection
Explainable AI with the Information Bottleneck Principle
SINAV an ASI study of future AI applications on spatial rovers
Deep Learning for Navigation of Small Satellites about Asteroids: an Introduction to the DeepNav Project
Object recognition algorithms for the Didymos binary system
Towards an explainable Artificial Intelligence approach for ships detection from satellite imagery
Investigating Vision Transformers for Bridging Domain Gap in Satellite Pose Estimation
Detection of Clouds and Cloud shadows on Sentinel-2 Data Using a CNN
PRISMA Hyperspectral Image Segmentation with U-Net Convolutional Neural Network using Singular Value Decomposition for Mapping Mining Areas: preliminary results
Earth Observation Big Data exploitation for water reservoirs continuous monitoring: the potential of Sentinel-2 data and HPC
Retrieval of marine parameters from hyperspectral satellite data and machine learning methods
Cooperative Lunar Site Preparation and Open Pit Resource Extraction Using Ground Robots
Machine learning for SAR processing
Canopy fire effects estimation using Sentinel-2 imagery and deep learning approach. A case study on the Aspromonte National Park
A Supervised Learning-based Approach to Maneuver Detection Through TLE Data Mining
A Machine learning approach for Monitoring of GNSS signal quality in Spaceborne receivers: Evil waveform and RF threats.