Artificial neural networks for space and safety-critical applications: Reliability issues and potential solutions
P Rech - IEEE Transactions on Nuclear Science, 2024 - ieeexplore.ieee.org
Machine learning is among the greatest advancements in computer science and
engineering and is today used to classify or detect objects, a key feature in autonomous …
engineering and is today used to classify or detect objects, a key feature in autonomous …
Development and testing on the European space-grade BRAVE FPGAs: Evaluation of NG-large using high-performance DSP benchmarks
The advent of space applications with increased computational requirements has led the
space industry to consider innovative chips and avionics architectures for high-performance …
space industry to consider innovative chips and avionics architectures for high-performance …
FPGA & VPU co-processing in space applications: Development and testing with DSP/AI benchmarks
V Leon, C Bezaitis, G Lentaris… - 2021 28th IEEE …, 2021 - ieeexplore.ieee.org
The advent of computationally demanding algorithms and high data rate instruments in new
space applications pushes the space industry to explore disruptive solutions for onboard …
space applications pushes the space industry to explore disruptive solutions for onboard …
Benchmarking deep learning models on myriad and snapdragon processors for space applications
Future space missions can benefit from processing imagery on board to detect science
events, create insights, and respond autonomously. One of the challenges to this mission …
events, create insights, and respond autonomously. One of the challenges to this mission …
Accelerating AI and Computer Vision for Satellite Pose Estimation on the Intel Myriad X Embedded SoC
The challenging deployment of Artificial Intelligence (AI) and Computer Vision (CV)
algorithms at the edge pushes the community of embedded computing to examine …
algorithms at the edge pushes the community of embedded computing to examine …
Combining fault tolerance techniques and COTS SoC accelerators for payload processing in space
The ever-increasing demand for computational power and I/O throughput in space
applications is transforming the landscape of on-board computing. A variety of Commercial …
applications is transforming the landscape of on-board computing. A variety of Commercial …
ADHA, an Agile Platform Enhancing New Satellite On-Board Data Processing Systems
O Mourra, F Siegle, D Steenari… - 2023 European Data …, 2023 - ieeexplore.ieee.org
Increasing the on-board processing capabilities of satellites can lead to faster and more
efficient instrument data analysis, improved accuracy, reduced costs, reduced latency and …
efficient instrument data analysis, improved accuracy, reduced costs, reduced latency and …
From Circuits to SoC Processors: Arithmetic Approximation Techniques & Embedded Computing Methodologies for DSP Acceleration
V Leon - arXiv preprint arXiv:2302.12194, 2023 - arxiv.org
The computing industry is forced to find alternative design approaches and computing
platforms to sustain increased power efficiency, while providing sufficient performance …
platforms to sustain increased power efficiency, while providing sufficient performance …
Resources and power efficient FPGA accelerators for real-time image classification
A plethora of image and video-related applications involve complex processes that impose
the need for hardware accelerators to achieve real-time performance. Among these, notable …
the need for hardware accelerators to achieve real-time performance. Among these, notable …