ShapeFuture will drive innovation in fundamental Electronic Components and Systems (ECS) that are essential for robust, powerful, fail-operational and integrated perception, cognition, AI-enabled decision making, resilient automation and computing, as well as communications, for highly automated vehicles. Its overarching vision is to bring ECS Innovation at the Heart of Europe's Mobility Transformation, thereby elevating Sovereignty by Perfecting Programmable ECS Solutions for Intelligent, Safe, Connected, and Highly Automated Vehicles. The project will result in the following main tangible outcomes: • Safety, security and reliability of in-vehicle systems to levels appropriate for mass-market deployment. • Availability and supply of leading-edge ECS for the European automotive supply chain and for OEMs to be at the forefront of technology developments in the 2030s. • Increased Accuracy and Robustness of ECS for perception with smaller form factors and lower power consumption. • ECS attributed with cognition features and improved human-Machine Interface (HMI). • ECS with cognitive processing and decision-making capabilities. • ECS for resilient automation and communications. • Increased technology acceptance that will also lead to business sovereignty safeguard. 15 demonstrators and 2 impact studies will showcase the project’s achievements and their capability to deliver innovations and secure future application advances in core markets for European society – Mobility, Green Deal, Digital Society, Safety and Industry. The project innovations will leverage the expertise of world-renowned industrial (5 OEMs, 24 Tier-1, Tier-2 and technology providers) and 12 research partners along the complete automotive and semiconductor value chains, providing Europe with a competitive edge in a growing market. Importantly, ShapeFuture will contribute to ensuring European ECS Sovereignty by shaping the future of ECS in mobility.

The HAL4SDV proposal aligns with the EU Strategic Research and Innovation Agenda 2022 on Electronic Components and Systems. It aims to pioneer methods, technologies, and processes for series vehicle development beyond 2030, driven by anticipated advancements in microelectronics, communication technology, software engineering, and AI. HAL4SDV envisions a future where vehicles are fully integrated into smart cities, intelligent highways, and cyberspace, blurring the lines between inside and outside the vehicle. Assumptions include data-centricity, code portability, efficient data fusion, unlimited scalability, real-time capabilities, and robust cybersecurity. The objectives encompass unifying software interfaces, creating a hardware abstraction framework, enabling Over-The-Air (OTA) updates, designing platform architectures, ensuring hardware abstraction and virtualization, offering hardware support, automating integration, supporting safety features, harnessing edge computing, implementing security measures, and providing essential development tools. By focusing on these objectives, HAL4SDV aims to establish a unified ecosystem for software-defined vehicles, positioning Europe's automotive industry for continued leadership post-2030 while leveraging existing results and technologies to accelerate progress.

The ambition of PRYSTINE is to strengthen and to extend traditional core competencies of the European industry, research and universities in smart mobility and in particular the electronic component and systems and cyber-physical systems domains. PRYSTINE's target is to realize Fail-operational Urban Surround perceptION (FUSION) which is based on robust Radar and LiDAR sensor fusion and control functions in order to enable safe automated driving in urban and rural environments. Therefore, PRYSTINE's high-level goals are: 1. Enhanced reliability and performance, reduced cost and power of FUSION components 2. Dependable embedded control by co-integration of signal processing and AI approaches for FUSION 3. Optimized E/E architecture enabling FUSION-based automated vehicles 4. Fail-operational systems for urban and rural environments based on FUSION PRYSTINE will deliver (a) fail-operational sensor-fusion framework on component level, (b) dependable embedded E/E architectures, and (c) safety compliant integration of Artificial Intelligence (AI) approaches for object recognition, scene understanding, and decision making within automotive applications. The resulting reference FUSION hardware/software architectures and reliable components for autonomous systems will be validated in in 22 industrial demonstrators, such as: 1. Fail-operational autonomous driving platform 2. An electrical and highly automated commercial truck equipped with new FUSION components (such as LiDAR, Radar, camera systems, safety controllers) for advanced perception 3. Highly connected passenger car anticipating traffic situations 4. Sensor fusion in human-machine interfaces for fail-operational control transition in highly automated vehicles PRYSTINE’s well-balanced, value chain oriented consortium, is composed of 60 project partners from 14 different European and non-European countries, including leading automotive OEMs, semiconductor companies, technology partners, and research institutes.

Climate change, CO2 footprint, energy transition, safety & security as well as sovereignty are key issues that the common population can very well relate to today. As we face critical challenges, research and development in our ECS domain needs to address them more than ever. In particular the energy transition needs to be accelerated in order to become more independent from gas and oil energy, which was considered being available at low costs and without limits until recently. This assumption has been proven to be based on very fragile grounds and it has come to an end. One solution to accelerate the energy transition is to use all generated energy. This means that overflow energy produced in wind or solar parks needs to be available in periods when common energy generation is lacking. This requires important investments into infrastructure, which will only flow, if investors trust into the technologies enabling solutions. The faster the trust is built, the faster the transition can be realized. On the other hand, technologies and products that will ensure an economic use of resources and enable long and trusted lifetime of systems and components in the ECS domain have to be developed. ARCHIMEDES contributes to this in the domains of automotive, aviation and industry. In ARCHIMEDES, components, models and methodologies to increase the efficiency and lifetime of the propulsion components, power components and energy storage devices in automotive, aviation and industry will be developed. This will support the energy transition on the consumer`s side. In order to support this mission, ARCHIMEDES aims to change technologies and products in the automotive, aviation, infrastructure domains and the related ecosystem towards a resilient, de-carbonized, digitalized, and green EU: It will help building trust in the new technologies and thus contribute to accelerating the energy transition, safety and security.

EdgeAI-trust aims to develop a domain-independent architecture for decentralized edge AI along with HW/SW edge AI solutions and tools, which enable fully collaborative AI and learning at the edge. The edge AI technologies address key challenges faced by Europe's industrial and societal sectors such energy efficiency, system complexity and sustainability. EdgeAI-trust will enable large-scale edge AI solutions that enable interoperability, upgradeability, reliability, safety, security and societal acceptance with a focus on explainability and robustness. Toolchains will provide standardized interfaces for developing, optimizing and validating edge AI solutions in heterogeneous systems. The generic results will be instantiated for automated vehicles, production and agriculture, thus offering innovation potential not only in the generic HW/SW technologies and tools, but also in the three target domains. These technological innovations are complemented with business strategies and community building, ensuring the widespread uptake of the innovations in Europe. EdgeAI-trust will establish sustainable impact by building open edge AI platforms and ecosystems, with a focus on standardization, supply chain integrity, environmental impact, benchmarking frameworks, and support for open-source solutions. The consortium consists of major suppliers and OEMs encompassing a broad range of application domains, supported by leading research and academic organizations. By embracing the opportunity to specialize in Edge AI, Europe can maintain its position in the global context, especially as it aligns with decentralized and privacy-driven European policy. Furthermore, as AI is closely connected with the Green Deal, this project can provide proper solutions for environmental issues. Ultimately, the project will enable AI to be connected with other strong sectors and industries, improving the innovation process and decision-making in Europe.