Conveners
The implementation of AI application on spacecraft On-Board Computers and Data Handling Systems
- Olivier Mourra (ESA-ESTEC - TEC Directorate - On-Board Computer, Platform and Payload Data Handling Systems)
- Ali Zadeh
Description
The convergence of artificial intelligence (AI) and embedded systems (ES) on terrestrial applications are creating a revolution in the domain of computer science, communications and information technology with diverse engineering applications.
For Space applications, a large number of new applications thanks to the use of artificial intelligence and Machine learning are today investigated for future spacecraft.
It is proposed to have at the ADCSS 2020 a specific session about on-board AI/ML applications for launchers and satellites (platform and instruments) and address their implementations in spacecraft computer and data handling systems (CDHS). Some examples of practical implementations and techniques using AI/ML on spacecraft CDHS will be presented. This session will also be a global forum giving the participants the possibility to exchange and share knowledge about current and future research axis in this domain.
This historic event has been achieved onboard Ф-sat-1, the European Space Agency’s (ESA) Artificial Intelligence (AI) demonstration cubesat that was launched on a Vega rocket on September 3rd. Initial data downlinked from the satellite today has shown that the AI-powered automatic cloud detection algorithm has correctly sorted hyperspectral Earth Observation (EO) imagery from the satellite’s...
The miniaturization of electronical components was one of the major improvement that happened during the last decades. Spatial agencies followed this trend and satellites became more and more complex. However, by reducing the size of their components, satellites became subject to space radiation. Indeed, satellites aren't protected by the atmosphere and defects caused by energetic particles...
The aim of this presentation is to assess the feasibility and on-board hardware performance requirements for on-board telemetry forecasting by implementing a Recurrent Neural Network(RNN)onlow-costmulticoreRISC-Vmicroprocessor.Gravity field and steady-state Ocean Circulation Explorer (GOCE) public telemetry data was used for training RNNs with different hyperparameters and architectures. The...
The future Copernicus Hyperspectral Imaging Mission for Environment (CHIME) will provide continuous acquisitions during the daylight part of the orbit, with numerous bands in VNIR and SWIR domains. Considering the significant presence of clouds hiding the ground, a work has been performed in the frame of CHIME A/B1 to explore the possibilities of increasing the on-board data reduction, with a...
The historic success of the recent ESA Φ-sat-1 mission has demonstrated for the first time that COTS hardware acceleration of AI inference on a satellite payload in-orbit is now possible. The Deep Learning cloud detection solution deployed on Φ-sat-1 utilises an Intel Movidius Myriad 2 vision processor for inference compute. The Myriad has performance-per-watt and radiation characteristics...
This presentation will focuse on the High Performance Compute Board (HPCB) development, including both a high-performance Xilinx CU060 FPGA and high-performance software-programmable VPU/VLIW multi-core processors (Myriad 2) will provide very high-performance computational resources on-board spacecraft to handle higher payload data rates and allow processing before downlink, reducing bandwidth...
