PLIADES advances the SoA dataspaces reference architectures, towards a step change on the use of data as key enabler of technological advances in AI and Robotics. To this end, PLIADES researches into novel, AI-enabled tools to advance full data life cycles integration, both within and between data spaces. Sustainable data creation methods through data compression, filtering and normalization will be developed, to allow efficient and greener storage in a data-oriented future. Data privacy and sovereignty will be further ensured, through standards and decentralized protocols to protect data-producing organizations and citizens. Alongside, data sharing will be revolutionized through novel AI-based brokers and connectors using extended metadata, shaped through the project’s best practices and domain expert’s knowledge. On top of these, active data discovery services through cross domain AI connectors will allow creating linked data spaces, enabling interoperability between previously disconnected entities, while data quality assessment services will facilitate real time data evaluation. Extended synergies with EU initiatives will be established in order to contribute models, strategies and technologies for a Common European Data Space. Our outcomes will be evaluated in six use cases focusing on direct advancements in key AI and Robotics technologies for everyday use, oriented around multiple data spaces; mobility, healthcare, industrial, energy and green deal. Our use cases provide a challenging validation suite involving vast heterogeneous data creation, management and sharing while addressing full data lifecycles in multiple major domains. Through the developed ecosystem, CCAM and ADAS/AD car technologies will be enhanced, HRI for robot operators and healthcare patients will be reshaped, while further advanced, integrated data spaces will be deployed in the healthcare, manufacturing and green deal sectors aiming to reduce carbon footprints and shape a greener future.

EEA4CCAM proposes in-vehicle electronic control architectures for Connected, Cooperative, and Automated Mobility (CCAM) applications, ensuring safe and cyber-secure deployment across diverse operating conditions. By integrating hardware and software co-design, EEA4CCAM enables smart data flows and secure operation through a centralized, upgradable architecture. The project aims to empower the safe and cyber-secure deployment of CCAM solutions through a novel, centralized, and upgradable in-vehicle electronic control architecture. This will be achieved by performing a paradigm shift in in-vehicle electronic control architectures, developing a centralized, upgradable, and open-source design that integrates HW and SW co-design, enables smart data flows, and ensures safe and cyber-secure operation. The project will foster international cooperation, harmonization, and standardization, promoting open-source interfaces and layouts, and facilitating the development and integration of CCAM applications through exemplarily deployment and validation methods. Five key objectives will be achieved: developing a new, centralized design; exemplarily deploying level 4 automation use cases; enabling safe and cyber-secure operation through system agility and distributed intelligence; realizing a paradigm shift to integrated, resource-efficient architectures; and setting up international cooperation for harmonized electronic control architecture layouts, promoting open-source interfaces and layouts. By achieving these objectives, EEA4CCAM will lay the foundation for the software-defined-vehicle, enabling the widespread adoption of CCAM applications and paving the way for a safer, more efficient, and more connected transportation system.