Mitigating Challenges of the Space Environment for Onboard Artificial Intelligence: Design Overview of the Imaging Payload on SpIRIT

MO Del Castillo, J Morgan, J Mcrobbie… - Proceedings of the …, 2024 - openaccess.thecvf.com
Artificial intelligence (AI) and autonomous edge computing in space are emerging areas of
interest to augment capabilities of nanosatellites where modern sensors generate orders of …

Evaluation of SYCL's suitability for high-performance critical systems

CQ Peralta, MM Trompouki, L Kosmidis - Proceedings of the 2023 …, 2023 - dl.acm.org
Upcoming safety critical systems require high performance processing, which can be
provided by multi-cores and embedded GPUs found in several Systems-on-chip (SoC) …

Functional and timing implications of transient faults in critical systems

A Kritikakou, P Nikolaou… - 2022 IEEE 28th …, 2022 - ieeexplore.ieee.org
Embedded systems in critical domains, such as auto-motive, aviation, space domains, are
often required to guarantee both functional and temporal correctness. Considering transient …

Space Microdatacenters

N Bleier, MH Mubarik, GR Swenson… - Proceedings of the 56th …, 2023 - dl.acm.org
Earth observation (EO) has been a key task for satellites since the first time a satellite was
put into space. The temporal and spatial resolution at which EO satellites take pictures has …

Analysis of kernel redundancy for soft error mitigation on embedded GPUs

A Serrano-Cases, S Alcaide… - … on Nuclear Science, 2023 - ieeexplore.ieee.org
The use of state-of-the-art commercial processors such as graphical processing units
(GPUs) is becoming increasingly common in the New Space industry to ensure high …

Proton Evaluation of Single Event Effects in the NVIDIA GPU Orin SoM: Understanding Radiation Vulnerabilities Beyond the SoC

I Rodriguez-Ferrández, L Kosmidis… - 2024 IEEE 30th …, 2024 - ieeexplore.ieee.org
In this paper, we investigate the single event effects under proton irradiation for the state-of-
the-art embedded GPU NVIDIA Jetson Orin NX System-on-Module (SoM). Designed for …

Machine Learning in Space: Surveying the Robustness of on-board ML models to Radiation

K Lange, F Fontana, F Rossi, M Varile… - arXiv preprint arXiv …, 2024 - arxiv.org
Modern spacecraft are increasingly relying on machine learning (ML). However, physical
equipment in space is subject to various natural hazards, such as radiation, which may …

Impact of Radiation-Induced Effects on Embedded GPUs Executing Large Machine Learning Models

BL Coelho, FF Dos Santos, M Saveriano… - … on Nuclear Science, 2025 - ieeexplore.ieee.org
Large machine learning (ML) models are able to outperform previous state-of-the-art ML
models such as convolutional neural networks (CNNs). In this paper, we study the impact of …

CNNCat: categorizing high-energy photons in a Compton/Pair telescope with convolutional neural networks

JP Lommler, U Gerd Oberlack - Experimental Astronomy, 2024 - Springer
A Compton/Pair telescope, designed to provide spectral resolved images of cosmic photons
from sub-MeV to GeV energies, records a wealth of data in a combination of tracking …

Towards a Qualifiable Space Cloud Approach

L Kosmidis, MM Trompouki, M Solé… - 2024 IEEE 10th …, 2024 - ieeexplore.ieee.org
Traditional space computing relies on older, space proven hardware and software
technologies with significantly lower performance compared to COTS processors. Recently …