[HTML][HTML] Artificial intelligence for trusted autonomous satellite operations

K Thangavel, R Sabatini, A Gardi, K Ranasinghe… - Progress in Aerospace …, 2024 - Elsevier
Abstract Recent advances in Artificial Intelligence (AI) and Cyber-Physical Systems (CPS)
for aerospace applications have brought about new opportunities for the fast-growing …

[HTML][HTML] Multidisciplinary design and optimization of intelligent Distributed Satellite Systems for EARTH observation

K Thangavel, RP Perumal, KF Hussain, A Gardi… - Acta Astronautica, 2024 - Elsevier
Recent advances in small, connected and intelligent satellite systems have created a wide
range of opportunities for the adoption of intelligent Distributed Satellite Systems (iDSS) in …

[HTML][HTML] A study of cognitive computing in nanosatellite constellations for synergic autonomy in CisLunar space

MI Rashed, H Bang - Advances in Space Research, 2024 - Elsevier
The small satellites have been changing the paradigm of space technology and
implementation techniques ever since the NewSpace era has begun a stiff competition and …

[HTML][HTML] Navigating AI-lien Terrain: Legal liability for artificial intelligence in outer space

T Graham, K Thangavel, AS Martin - Acta Astronautica, 2024 - Elsevier
Advances in artificial intelligence (AI) and automated robotics will profoundly influence
space operations. By utilising machine learning and deep learning approaches, AI-enabled …

[HTML][HTML] Distributed satellite system autonomous orbital control with recursive filtering

T Burroni, K Thangavel, P Servidia… - Aerospace Science and …, 2024 - Elsevier
In this article, we propose a recursive orbital elements filter for autonomous control of
Distributed Satellite Systems (DSS) that significantly reduces the variance of relative orbital …

Mathematical Modelling of a Propellent Gauging System: A Case Study on PRISMA

RU Shaik, N Relangi, K Thangavel - Aerospace, 2023 - mdpi.com
Propellant gauging is crucial for a spacecraft approaching the end of its lifespan. Current
gauging systems for satellites typically have an accuracy rate of a few months to a year at …

Wildfire Detection Using Convolutional Neural Networks and PRISMA Hyperspectral Imagery: A Spatial-Spectral Analysis

D Spiller, A Carbone, S Amici, K Thangavel… - Remote Sensing, 2023 - mdpi.com
The exacerbation of wildfires, attributed to the effects of climate change, presents substantial
risks to ecological systems, infrastructure, and human well-being. In the context of the …

[PDF][PDF] Artificial Intelligence in Space: An Analysis of Responsible AI Principles for the Space Domain

T Graham, K Thangavel - International Astronautical Congress …, 2023 - researchgate.net
Abstract Advances in Artificial Intelligence (AI) technologies are enabling a plethora of new
applications across many industries. There are already a multitude of applications for AI …

Enhancing Earth Data Analysis in 5G Satellite Networks: A Novel Lightweight Approach Integrating Improved Deep Learning

Y Yang, K Ren, J Song - Heliyon, 2024 - cell.com
Efficiently handling huge data amounts and enabling processing-intensive applications to
run in faraway areas simultaneously is the ultimate objective of 5G networks. Currently, in …

Comparison of 1D and 3D Convolutional Neural Networks for Wildfire Detection Using PRISMA Hyperspectral Imagery and Domain Adaptation

A Carbone, D Spiller, S Amici… - … on Metrology for …, 2023 - ieeexplore.ieee.org
This research explores the potential use of artificial intelligence techniques and edge
computing approaches to detect wildfires directly from satellite platforms. The study is based …