Hardware Platforms Enabling Edge AI for Space Applications: A Critical Review

Artificial Intelligence is an emerging technology in the space industry as it enables real-time data processing and autonomous navigation. We aim to facilitate mission development by providing an extensive state-of-the-art review. We analyze recent advancements in hardware architectures for space on-the-edge applications. We explore the unique challenges of space environments, including radiation hardening, flexibility, and real-time processing needs. We identify the possible hardware accelerator architectures and assess their applicability on-board spacecraft. We examine key developments in hardware accelerators, general-purpose processors, and neuromorphic chips, with an emphasis on adaptability for space applications. We compare the available chips in terms of performance capabilities, power consumption, technology node and radiation hardening. We showcase future directions, offering a comprehensive overview of cutting-edge solutions for AI-driven space missions.

Authors

Institutions

Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3596326
Citations
2
Primary Topic
Spacecraft Design and Technology
Type
article
Field-Weighted Citation Impact
9.99

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hardware Platforms Enabling Edge AI for Space Applications: A Critical Review

David Merodio Codinachs, Luca Fanucci, Matteo Monopoli, Luca Zulberti et al.
2 citations
IEEE Access
Spacecraft Design and Technology
9.99
article

Hardware Platforms Enabling Edge AI for Space Applications: A Critical Review

David Merodio Codinachs, Luca Fanucci, Matteo Monopoli, Luca Zulberti, Pietro Nannipieri, Gabriela Mystkowska
article en
2 citations

Abstract

Artificial Intelligence is an emerging technology in the space industry as it enables real-time data processing and autonomous navigation. We aim to facilitate mission development by providing an extensive state-of-the-art review. We analyze recent advancements in hardware architectures for space on-the-edge applications. We explore the unique challenges of space environments, including radiation hardening, flexibility, and real-time processing needs. We identify the possible hardware accelerator architectures and assess their applicability on-board spacecraft. We examine key developments in hardware accelerators, general-purpose processors, and neuromorphic chips, with an emphasis on adaptability for space applications. We compare the available chips in terms of performance capabilities, power consumption, technology node and radiation hardening. We showcase future directions, offering a comprehensive overview of cutting-edge solutions for AI-driven space missions.

IEEE AccessVol. 13
University of Pisa (IT), European Space Agency (FR), European Space Research and Technology Centre (NL)
European Space Agency, Ministero dell’Istruzione, dell’Università e della Ricerca, Agenzia Spaziale Italiana
Openalex Percentile: Top 2%
Spacecraft Design and Technology
9.99
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.