Low Earth Orbit

Low Earth Orbit (LEO) is the region of space closest to Earth, increasingly utilized for satellite constellations offering communication and Earth observation services. Current research focuses on optimizing these constellations through efficient resource management (e.g., using quantum annealing for satellite clustering, federated learning for distributed model training), improving satellite navigation and control (e.g., via sensor fusion and advanced filtering techniques), and enhancing data analysis capabilities (e.g., employing deep learning for image processing and space object tracking). These advancements are crucial for improving the efficiency, reliability, and safety of LEO operations, impacting various fields from telecommunications and Earth science to space debris mitigation and autonomous space systems.

Papers

June 25, 2023

A ground-based dataset and a diffusion model for on-orbit low-light image enhancement
Yiman Zhu, Lu Wang, Jingyi Yuan, Yu Guo
Diffusion Model Low Light Image Enhancement Image Enhancement Low Earth Orbit

May 21, 2023

One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes
Mohamed Elmahallawy, Tie Luo
Low Earth Orbit Meeting Minute Multiple Satellite Convergence Time Satellite Constellation Multiple Day

May 6, 2023

Decentralised Semi-supervised Onboard Learning for Scene Classification in Low-Earth Orbit
Johan Östman, Pablo Gomez, Vinutha Magal Shreenath, Gabriele Meoni
Machine Learning Model Semi Supervised Learning Decentralized Learning Scene Classification Low Earth Orbit Satellite Constellation

March 29, 2023

An Investigation into Active Control for Accessible Orbital Flight
Timothy Cai
Dynamic Control Low Earth Orbit Thrust Vectoring

March 25, 2023

March 17, 2023

A machine learning and feature engineering approach for the prediction of the uncontrolled re-entry of space objects
Francesco Salmaso, Mirko Trisolini, Camilla Colombo
Machine Learning Human Prediction Aerodynamic Force Feature Engineering Low Earth Orbit Space Object

February 27, 2023

Optimizing Federated Learning in LEO Satellite Constellations via Intra-Plane Model Propagation and Sink Satellite Scheduling
Mohamed Elmahallawy, Tie Luo
Low Earth Orbit Wireless Edge Equilibrium Propagation Satellite Communication Satellite Scheduling

February 16, 2023

Vision-Based Terrain Relative Navigation on High-Altitude Balloon and Sub-Orbital Rocket
Dominic Maggio, Courtney Mario, Brett Streetman, Ted Steiner, Luca Carlone
Based Method Low Earth Orbit Object Landmark Terrain Navigation High Altitude Balloon

December 22, 2022

AsyncFLEO: Asynchronous Federated Learning for LEO Satellite Constellations with High-Altitude Platforms
Mohamed Elmahallawy, Tie Luo
Asynchronous Federated Learning Network Topology Low Earth Orbit Straggler Mitigation Hierarchically Fusing Satellite Propagation Delay High Altitude Platform

September 27, 2022

Reinforcement Learning for Cognitive Delay/Disruption Tolerant Network Node Management in an LEO-based Satellite Constellation
Xue Sun, Changhao Li, Lei Yan, Suzhi Cao
Reinforcement Learning Cognitive Impairment Low Earth Orbit Disruption Tolerant Network Node

December 22, 2021

Low Earth Orbit

Papers

A ground-based dataset and a diffusion model for on-orbit low-light image enhancement

One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes

Decentralised Semi-supervised Onboard Learning for Scene Classification in Low-Earth Orbit

An Investigation into Active Control for Accessible Orbital Flight

Edge Selection and Clustering for Federated Learning in Optical Inter-LEO Satellite Constellation

Hierarchical Multi-Agent Multi-Armed Bandit for Resource Allocation in Multi-LEO Satellite Constellation Networks

A machine learning and feature engineering approach for the prediction of the uncontrolled re-entry of space objects

Optimizing Federated Learning in LEO Satellite Constellations via Intra-Plane Model Propagation and Sink Satellite Scheduling

Vision-Based Terrain Relative Navigation on High-Altitude Balloon and Sub-Orbital Rocket

AsyncFLEO: Asynchronous Federated Learning for LEO Satellite Constellations with High-Altitude Platforms

Reinforcement Learning for Cognitive Delay/Disruption Tolerant Network Node Management in an LEO-based Satellite Constellation

Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health

Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs