ISS Monocular Depth Estimation Via Vision Transformer

ISS Monocular Depth Estimation Via Vision Transformer

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International Conference on Applied Intelligence and Informatics (2. : 2022 : Reggio di Calabria) The use of artificial intelligence for space applications
1. Verfasser: Ghilardi, Luca (VerfasserIn)
Weitere Verfasser: Scorsoglio, Andrea (VerfasserIn), Furfaro, Roberto (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2023
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Deep Reinforcement Learning for Pin-Point Autonomous Lunar Landing: Trajectory Recalculation for Obstacle Avoidance 2023 Ciabatti, Giulia
ISS Monocular Depth Estimation Via Vision Transformer 2023 Ghilardi, Luca
Innovative ML-based Methods for Automated On-board Spacecraft Anomaly Detection 2023 Ciancarelli, Carlo
SINAV: An ASI Study of Future AI Applications on Spatial Rovers 2023 Lanza, Piergiorgio
Artificial Intelligence for SAR Focusing 2023 Trematerra, Oreste
An Overview of X-TFC Applications for Aerospace Optimal Control Problems 2023 Schiassi, Enrico
RobDT: AI-enhanced Digital Twin for Space Exploration Robotic Assets 2023 Bozzano, Marco
Deep Learning for Navigation of Small Satellites About Asteroids: An Introduction to the DeepNav Project 2023 Buonagura, Carmine
Investigating Vision Transformers for Bridging Domain Gap in Satellite Pose Estimation 2023 Lotti, Alessandro
Detection of Clouds and Cloud Shadows on Sentinel-2 Data Using an Adapted Version of the Cloud-Net Model 2023 Eijgenraam, Bram
Earth Observation Big Data Exploitation for Water Reservoirs Continuous Monitoring: The Potential of Sentinel-2 Data and HPC 2023 Ravanelli, Roberta
A Machine Learning Approach for Monitoring of GNSS Signal Quality in Spaceborne Receivers: Evil Waveform and RF Threats 2023 Emmanuele, Andrea
Hardware-in-the-Loop Simulations of Future Autonomous Space Systems Aided by Artificial Intelligence 2023 Carbone, Andrea
GPUSAT: A General-Purpose Programmable Accelerator for on Board Data Processing and Satellite Autonomy 2023 Ciardi, Roberto
Imbalanced Data Handling for Deep Learning-Based Autonomous Crater Detection Algorithms in Terrain Relative Navigation 2023 Latorre, Francesco
Comparative Analysis of Reinforcement Learning Algorithms for Robust Interplanetary Trajectory Design 2023 Federici, Lorenzo
Fault Detection Exploiting Artificial Intelligence in Satellite Systems 2023 Ferrante, Nicola
Towards an Explainable Artificial Intelligence Approach for Ships Detection from Satellite Imagery 2023 Ieracitano, Cosimo
Canopy Fire Effects Estimation Using Sentinel-2 Imagery and Deep Learning Approach. A Case Study on the Aspromonte National Park 2023 Luca, Giandomenico De
A Supervised Learning-Based Approach to Maneuver Detection Through TLE Data Mining 2023 Cipollone, Riccardo
Alle Artikel auflisten