Future transport and mobility will be disrupted by innovations in Connected Automated Vehicles (CAVs), in which safety will be of the highest priority. SAFE-UP aims to proactively address the upcoming safety challenges by developing innovative technologies, testing and assessment methods. SAFE-UP is based on 3 key pillars: i) future safety-critical scenarios, ii) new safety technologies, and iii) novel safety assessment methodologies. Future safety-critical scenarios will be designed and analysed in a highly automated and mixed traffic environment in a traffic simulation platform. Based on these scenarios, new safety technologies for active and passive systems will be developed, resulting in 4 Demos. The passive safety system of Demo 1 will include restraint and occupant monitoring technologies for new seating positions. Three active safety system prototypes (all on-vehicle, one of them also including on-user and infrastructure) will be developed. Demo 2 will enhance the interaction between vehicles and VRUs under bad weather conditions while Demo 3 will integrate advanced intervention functions to avoid critical events. Demo 4 will consist of a safety solution based on C-ITS to enable timely warning provisions. To prove the overall benefits, new safety assessment methodologies will be thoroughly designed. The SAFE-UP consortium is another major asset, consisting of key players in mobility across the entire value chain: advanced OEMs, leading suppliers & industry, and academia. The new technologies will reduce fatalities by covering pedestrians, cyclists and Powered Two Wheelers in urban areas through active safety systems and cars in non-urban through passive safety technologies, which will impact 64% of all road fatalities. SAFE-UP will also develop targeted education and training schemes for fostering the implementation of automated driving functions, while also focusing on raising awareness of future road safety challenges.

Title : Cyber Security for Cross Domain Reliable Dependable Automated Systems. Goal : SECREDAS aims to develop and validate multi-domain architecting methodologies, reference architectures & components for autonomous systems, combining high security and privacy protection while preserving functional-safety and operational performance.

Cynergy4MIE is a visionary project poised to revolutionize Europe's industrial landscape by bridging the gap between foundational technology layers, cross-sectional technologies, and key application areas. The project addresses the pressing need for efficient resource utilization and synergy creation across ecosystems. By actively managing requirements from various key application areas, Cynergy4MIE aims to steer developments in foundational technology layers and cross-sectional technologies, enabling unparalleled collaboration and resource optimization. This approach promises faster time-to-market, efficient resource utilization, and enhanced technological exchange between key application areas. Cynergy4MIE's strategy aligns with the EU's agenda and emphasizes urgency, resilience, technological partnerships, and cross-domain integration to champion European competitiveness. The project's long-term impact rests on embracing urgency, fostering competitive resilience, strengthening technological partnerships, harnessing ecosystem synergies, promoting cross-domain integration, advancing AI competence, prioritizing sustainability, enhancing productivity, and ensuring user-centric digitalization while forming strategic alliances. Cynergy4MIE envisions a future where emergent cyber-physical systems serve human-centric needs, drive domain convergence, and secure Europe's position as a global technology leader.

The automotive industry faces tremendous challenges in addressing decarbonization through electrification, developing future solutions for inclusive, safe and affordable mobility. Many of these changes require a radical re-thinking of existing development processes, with the share of software in modern mobility solutions continuously increasing. The rising importance of the software layer results in the so-called software-defined vehicle (SDV). Automotive software will be developed and adapted in continuous cycles. Therefore an abstraction from the underlying hardware needs to be implemented. As a result, the automotive industry is transitioning to an agile software development process. The dramatic increase of software and complexity, along with the advances of international competition in this domain, calls for an approach, in which non-differentiating software is developed jointly as open source. To address these challenges, the EU, together with industry, governments, and research institutions, have launched the European SDV Ecosystem. To turn this into reality, this proposal outlines the vision and activities for a Coordination and Support Action. FEDERATE (Software-Defined Vehicle Support and Coordination Project) aims to bring together all relevant stakeholders to accelerate the development of an SDV Ecosystem, to foster a vibrant European community and orchestrate the SDV R&D&I activities. The consortium of FEDERATE is formed by major European OEMs, automotive tiers, semiconductor companies, relevant industry associations and industrial SDV initiatives, including the Eclipse SDV WG, and supported by a scientific board. FEDERATE will work towards a common understanding on the vision of the SDV program and create an orchestrated advice for current and future projects in the SDV program. In addition, recommendations for future calls are prepared in alignment with a Roadmap and Joint Vision Document for accelerated SDV R&D&I, created as part of the CSA

Artificial Intelligence (AI) and all the key digital technologies that are subsumed by the term AI today are an essential part of the answers to many of the daunting challenges that we are facing. AI will impact the everyday lives of citizens as well as all business sectors. To maximize the opportunities and minimize the risks, Europe focuses on human-centered Trustworthy AI, and is taking important steps towards becoming the worldwide centre for Trustworthy AI. Trustworthiness however still requires significant basic research, and it is clear that the only way to achieve this is through the integration of learning, optimisation and reasoning, as neither approach will be sufficient on its own. The purpose of TAILOR is to build a strong academic-public-industrial research network with the capacity of providing the scientific basis for Trustworthy AI leveraging and combining learning, optimization and reasoning for realizing AI systems that incorporate the safeguards that make them in the reliable, safe, transparent and respectful of human agency and expectations. Not only the mechanisms to maximize benefits, but also those for minimizing harm. The network will be based on a number of innovative state-of-the-art mechanisms. A multi-stakeholder strategic research and innovation research roadmap coordinates and guides the research in the five basic research programs. Each program forming virtual research environments with many of the best AI researchers in Europe addressing the major scientific challenges identified in the roadmap. A collection of mechanisms supporting innovation, commercialization and knowledge transfer to industry. To support network collaboration TAILOR provides mechanisms such as AI-Powered Collaboration Tools, a PhD program, and training programs. A connectivity fund to support active dissemination across Europe through for example allowing the network to grow and to support the scientific stepping up of more research groups.