D2.3: System Technical Specifications and PLIADES Framework Architecture

Engineering notes

Key topics: autonomous driving, adas, deployment. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

Deliverable D2.3, titled “System Technical Specifications and PLIADES Framework Architecture”, provides a detailed overview of the architecture and technical specifications of the PLIADES platform. Building on the user requirements and use cases outlined in Deliverable D2.2 , “User Requirements and Use Cases”, this document translates these into a high-level architecture that serves as the foundation for system implementation. The deliverable encompasses the methodologies for deriving technical specifications, the conceptual and functional architecture and the system’s implementation framework. The PLIADES architecture is structured into modular components that address the project’s objectives of optimizing data lifecycles and enhancing interoperability within data spaces. By employing a hierarchical methodology, the deliverable progressively details the system nodes, their dependencies, and corresponding functionalities, enabling independent node development and seamless integration. In alignment with the prioritized user requirements and PLIADES use cases, the deliverable defines the technical specifications, including performance, hardware and software requirements, as well as, the mapping of functional requirements. This structured mapping ensures that each component of the system is tailored to meet the specific needs of end-users while supporting the overall project goals. Additionally, this deliverable introduces the development and deployment views of the PLIADES system. The development view outlines guidelines for module development, software configuration, and partner responsibilities, while the deployment view provides a comprehensive look at hardware and software integration. The deliverable presents an implementation roadmap, detailing a timeline for addressing functional requirements during the project. This roadmap ensures consistency between the conceptual design and practical deployment, driving the PLIADES project’s mission to advance AI-enabled data lifecycle management and interoperability.Future updates and advancements during development and deployment of the PLIADES solutions will be documented in future deliverables in WP7 “Deployment in Diverse Use Cases for Data Spaces Integration and Cross Domain Validation”. PLIADES stands for an advanced AI AI-enabled framework for Full Data Lifecycles Optimisation and Data Spaces Integration. Our mission is to revolutionize how data is utilised across various sectors, from mobility to healthcare, manufacturing to energy, and beyond. PLIADES envisions a future where diverse sectors are seamlessly interconnected, enhancing efficiency and interoperability. We aim to provide cutting cutting-edge data and services that drive advancements in Cooperative, Connected, and Automated Mobility (CCAM), Advanced Driver Assistance & Autonomous Driving (ADAS/AD), and HumanHuman-Robot Interaction (HRI).

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