On-Board Decision Making in Space with Deep Neural Networks and RISC-V Vector Processors-Reference-Cited by-同舟云学术

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On-Board Decision Making in Space with Deep Neural Networks and RISC-V Vector Processors

Published:2021-08 Issue:8 Volume:18 Page:553-570
ISSN:2327-3097
Container-title:Journal of Aerospace Information Systems
language:en
Short-container-title:Journal of Aerospace Information Systems

Author:

Di Mascio Stefano,Menicucci Alessandra,Gill Eberhard,Furano Gianluca,Monteleone Claudio

Funder

European Space Agency, Delft University of Technology

Cobham Gaisler AB

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Aerospace Engineering

Link

https://arc.aiaa.org/doi/pdf/10.2514/1.I010916

Reference40 articles.

1. Deep Learning for Consumer Devices and Services: Pushing the limits for machine learning, artificial intelligence, and computer vision.

2. Radiation Hardness Assurance Testing of Microelectronic Devices and Integrated Circuits: Radiation Environments, Physical Mechanisms, and Foundations for Hardness Assurance

3. Leveraging the Openness and Modularity of RISC-V in Space

4. The Cost of Application-Class Processing: Energy and Performance Analysis of a Linux-Ready 1.7-GHz 64-Bit RISC-V Core in 22-nm FDSOI Technology

5. Towards the Use of Artificial Intelligence on the Edge in Space Systems: Challenges and Opportunities

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1. Unleashing OpenTitan's Potential: a Silicon-Ready Embedded Secure Element for Root of Trust and Cryptographic Offloading;ACM Transactions on Embedded Computing Systems;2024-09-05

2. Hybrid Modular Redundancy: Exploring Modular Redundancy Approaches in RISC-V Multi-Core Computing Clusters for Reliable Processing in Space;ACM Transactions on Cyber-Physical Systems;2023-11-30

3. Extending the NOEL-V Platform with a RISC-V Vector Processor for Space Applications;Journal of Aerospace Information Systems;2023-09

4. Telemetry Data Compression Algorithm Based on Balanced Cyclic Neural Network and Deep Learning;2023 IEEE International Conference on Image Processing and Computer Applications (ICIPCA);2023-08-11

5. Dual Vector Load for Improved Pipelining in Vector Processors;2023 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS);2023-04-19

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