ENABLE-S3 (European Initiative to Enable Validation for Highly Automated Safe and Secure Systems) is a H2020-ECSEL project that will pave the way for accelerated application of highly automated and autonomous systems in the mobility, automotive, aerospace, rail and maritime domains as well as in the healthcare domain. Virtual testing, verification and coverage-oriented test selection methods will enable validation to be performed with reasonable effort. The resulting validation framework will ensure Europeans Industry competitiveness in the global race of automated systems with an expected market potential of €60B in 2025. Project results will be used to propose standardized validation procedures for highly automated systems (ACPS).
GMV will participate in the Space Case Study “Reconfigurable Video Processor for Space” which is led by TASE. The results of ENABLE-S3 directly impact the Space Market. In particular, the qualification process of automated safe critical embedded systems. Most of the objectives pursued by ENABLE-S3 are shared with the space market. The Space Domain is focusing on the standardization of the architecture (onboard, avionics, etc.) of space systems as well as strict and standard validation methodologies. The Space Case Study in which GMV participates includes a demonstrator that will prove for the first time the feasibility of an in-flight reconfigurable video processor for Earth Observation applications, Vision-Based Navigation and radiation hardness through self-healing and self-reconfiguration techniques.
GMV will use the proposed reconfigurable system based on FPGA plus Processor architecture to demonstrate the use of different and complementary space autonomous navigation algorithms on the same FPGA board. Different vision-based algorithms such as HW accelerator modules will be interchanged depending on the mission phase (Far-Range Image Processing Navigation, Absolute navigation or Relative navigation) and adapting the navigation system to the specific conditions of the environment in order to reach targeted space objects or bodies in an automated way. Reconfiguration will have a twofold target, it shall be used to adapt the data processing algorithms to optimize the algorithm response to variations on the input signal, the mission phase or environment conditions, and will also be used to reconfigure the processing device if some of their parts fail due to radiation effects, reassigning the processing modules to undamaged parts of the device.
This project has received funding from the Electronic Component Systems for European Leadership Joint Undertaking under grant agreement No 692455. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation program and Austria, Denmark, Germany, Finland, Czech Republic, Italy, Spain, Portugal, Poland, Ireland, Belgium, France, Netherlands, United Kingdom, Slovakia and Norway.