SEFUW: SpacE FPGA Users Workshop, 5th Edition

Session

Artificial Intelligence/Machine Learning

14 Mar 2023, 10:45

Erasmus High Bay (European Space Research and Technology Centre (ESTEC))

Conveners

Artificial Intelligence/Machine Learning

• Florent Manni (CNES (DSO/TB/ET))
• Alberto Urbón Aguado (Telespazio for ESA)

Artificial Intelligence/Machine Learning

• David Merodio Codinachs (ESA)
• Filomena Decuzzi

1. Image Recognition for Space Applications using Deep Learning on FPGAs & SoCs (Mathworks)

Stephan van Beek (MathWorks)

14/03/2023, 10:45

Artificial Intelligence/Machine Learning

Artificial intelligence (Deep Learning) is everywhere. The space industry is no exception. Automated recognition of lunar craters for moon landings and identification of space junk using imaging could play important roles in securing space safety and advancing space exploration. Deep Learning is the most successful solution for image-based object classification, and for most practical...

19. Deep Learning acceleration using a Model-Based Design workflow in secure in-flight HW/SW reprogrammable System-on-Chip (GMV)

David Gonzalez-Arjona (GMV Aerospace and Defence)

14/03/2023, 11:05

Artificial Intelligence/Machine Learning

GMV proposes a model-based approach for deep learning (DL) acceleration on FPGAs, taking on-board space debris detection as the target application. GMV has developed G-Theia1 smart-sensor integrating camera and high-performance processing logic into an embedded payload system. G-Theia1 is first proposed as a cost-effective space-based surveillance system in the project H038.3 SBSS-GNSS....

70. In-Orbit Artificial Intelligence and Machine Learning for Space Applications : Versal Space Reference Design : First Design-In Experiences (Spacechips)

Rajan Bedi (Spacechips Ltd)

16/03/2023, 09:30

Artificial Intelligence/Machine Learning

An increasing number of on-board processing applications require intelligent in-orbit processing to extract value-added insights rather than clog precious RF downlinks with bandwidths of data for post-processing on the ground. Some applications require autonomous, real-time decision making, e.g. a space-debris retrieval spacecraft outside of its ground-station coverage would not be able to...

51. A Technology-Independent Toolflow for Automating AI Deployment on FPGAs for On-board Satellite Applications (University of Pisa)

Tommaso Pacini (University of Pisa)

16/03/2023, 09:55

Artificial Intelligence/Machine Learning

In recent years, research in the space community has shown a growing interest in Artificial Intelligence (AI), mostly driven by systems miniaturization and commercial competition. Among the available devices for accelerating AI onboard satellites, Field Programmable Gate Arrays (FPGAs) constitute a valuable solution for their energy efficiency and low non-recurrent costs. To facilitate and...