arXiv:2504.16173v3 Announce Type: replace-cross Abstract: Space missions are becoming increasingly ambitious, necessitating high-performance onboard spacecraft computing systems. In response, field-programmable gate arrays (FPGAs) have garnered significant interest due to their flexibility, cost-effectiveness, and radiation tolerance potential. Concurrently, neural networks (NNs) are being recognized for their capability to execute space mission tasks such as autonomous operations, sensor data analysis, and data compression. This survey serves as a valuable resource for researchers aiming to i
The increasing ambition of space missions is driving the need for more sophisticated and robust onboard computing, which FPGAs and NNs are uniquely positioned to provide.
This survey highlights a critical convergence of advanced computing techniques with a demanding application space, indicating a future where AI-powered autonomy in space becomes more prevalent and essential.
The focus on FPGA-based neural network accelerators for space signifies a shift towards highly flexible, radiation-tolerant, and performant AI hardware for extraterrestrial operations, enabling more autonomous missions.
- · FPGA manufacturers
- · Space agencies
- · Satellite operators
- · AI hardware developers
- · Traditional ASIC vendors (for space applications)
- · Companies reliant on ground-based processing for space data
- · Less adaptable computing architectures
More capable and autonomous spacecraft due to advanced onboard AI processing.
Reduced latency and increased efficiency for space data analysis and mission control, potentially enabling new types of missions.
Enhanced strategic capabilities in space, with AI-driven systems performing complex tasks independently of Earth-based command.
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Read at arXiv cs.AI