Home About GMV Get to Know the Company R&D+i Aid ENABLE-S3 Print Share ENABLE-S3 will pave the way for accelerated application highly automated and autonomous systems in the automotive, aerospace, rail, and maritime mobility domains, as well as in healthcare. ENABLE-S3 (European Initiative to Enable Validation for Highly Automated Safe and Secure Systems) is a project within the framework of the H2020-ECSEL aid program that will pave the way for accelerated application of driving systems with a high level of automation and autonomous driving systems in the automotive, aerospace, rail, and maritime mobility domains, as well as in healthcare. Virtual testing, verification, and coverage-oriented test selection methods will allow validation efforts to be reduced to a reasonable level. The resulting validation framework will ensure European industry's competitiveness in the global race for automated systems with an expected market potential of €60 billion in 2025. Project results will be used to propose standardized validation procedures for highly automated systems (ACPS). Direct Impact on the Space Market GMV will take part in the “Reconfigurable Video Processor for Space” use case led by TASE. ENABLE-S3 results will have a direct impact on the space market, especially in the qualification process for automatic security-critical integrated systems. Most of the objectives of ENABLE-S3 are coincide with those of the space market. This market is focusing on standardizing the architecture (onboard, avionics, etc.) of space systems, as well as strict validation of methodologies. The space use case in which GMV is participating includes a demonstrator that will for the first time put the viability of an onboard reconfigurable video process to the test for applications related to Earth observation, video navigation, and radiation resistance via self-repair and self-reconfiguration techniques. European Project GMV will use the proposed reconfigurable system based on FPGA with processor architecture to demonstrate the use of different complementary autonomous navigation algorithms on the FPGA device itself. Algorithms based on acceleration modules will be swapped based on the mission phase (navigation via long-range image processing, absolute navigation or relative navigation) and the navigation system will be adapted to specific environmental conditions in order to reach specific celestial objects or bodies automatically. The reconfiguration will serve two purposes: it will be used to adapt the data processing algorithms – to optimize the algorithmic response to variations in the input signal, the mission phase, and environmental conditions – and it will also be used to reconfigure the processing device in the event of failure in any of the parts due to the effects of radiation, 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, number 692455. This aid is funded by Horizon 2020 research and innovation program funds from the European Union, as well as from Austria, Denmark, Germany, Finland, Czech Republic, Italy, Spain, Portugal, Poland, Ireland, Belgium, France, Netherlands, United Kingdom, Slovakia, and Norway.