DEEPCUBE
Programme Reference
GT27-048ED
Status
Closed
Country
France
Start Date
2020
End Date
2022
Programme: GSTP Prime Contractor: Agenium Space
Objectives
The objective of the activity is to acquire wider experience on DNN simplification strategies to provide service to future customers.
Description
The goal of the project was to develop a service as a product to simplify fitting DNN (Deep Learning Neural Networks) in on board HW to make better use of AI on space missions The role of the service is to support data processing engineers in reducing HW resources requirement of powerful DNN for image analysis to be executed onboard.
• Application domain: Generic Technologies
•
Technology Domain:
1 - On-board Data Subsystems
13 - Automation, Telepresence & Robotics
17 - Optoelectronics
2 - Space System Software
9 - Mission Operation and Ground Data Systems
1 - On-board Data Subsystems
13 - Automation, Telepresence & Robotics
17 - Optoelectronics
2 - Space System Software
9 - Mission Operation and Ground Data Systems
•
Competence Domain:
1-EEE Components, Photonics, MEMS
3-Avionic Systems
6-Life & Physical Science Payloads, Life Support, Robotics & Automation
8-Ground Systems and Mission Operations
1-EEE Components, Photonics, MEMS
3-Avionic Systems
6-Life & Physical Science Payloads, Life Support, Robotics & Automation
8-Ground Systems and Mission Operations
• Initial TRL: TRL 3
• Target TRL: TRL 8
• Achieved TRL: TRL 5
•HarmoRoadMap: N/A
•IPC Document: N/A
•Public Document:
