ESA, CNES and DLR are proud to present the 2nd European Workshop on On-Board Data Processing (OBDP 2021).

The 2021 edition of the event was organized as a fully digital event. Participants were able to view the presentations online and to take part in live discussions and roundtables.
The event aimed to bring together experts from the European space agencies, industry and academia and provide a forum for discussion, and a chance to interface with other professionals in the field.
The workshop covered topics related to on-board data processing for space applications and will include presentations on past, current and future data processing topics, as well as round-tables on the topics of future development of on-board data processing algorithms, systems and devices.

On-board processing has seen an ever increasing interest in the last years, and new methods and techniques are being deployed. These include the in-flight demonstration of artificial intelligence techniques. The introduction of new, processing demanding techniques poses new challenges in the development of on-board processing systems. OBDP 2021 aimed to capture the state-of-the-art in on-board processing techniques and on-board systems and devices.

OBDP 2021 sessions included several aspects of on-board data processing, in order to cover all the major areas of interest for the attendance.

Topics covered include, but were not limited to:

• Status of ESA, CNES and DLR On-Board Data Processing Activities
• Current and Future Data Processing Requirements, Trends and Needs
• Developments in On-Board Data Processing Frameworks and Architectures 
  • Reconfigurable data processing architectures
  • Parallel processing frameworks (OpenMP, OpenCL)
  • Hardware acceleration of processing tasks
  • Heterogeneous processing systems
• Devices and Equipment for On-Board Data Processing 
  • Devices and benchmarks (Multicore processors, GPUs, FPGAs)
  • Digital processing units (DPUs)
  • Processing systems based on COTS devices
  • Processing modules for OBCs and mass memories
• On-board Data Processing Algorithms and Implementations 
  • Multi- and Hyperspectral image processing 
  • Synthetic aperture radar (SAR) processing
  • Radio interferometer processing
  • Visual navigation
  • Data and Image Compression
  • Data reduction
  • Other on-board processing applications
• Machine learning for on-board data processing 
  • Data Analysis (classification, segmentation, selection) 
  • Software tools and FPGA IP for machine learning inference
  • Fault-tolerance in deep learning algorithms