Next generation networks, as the Internet of Things (IoT), aim to create open and global networks for connecting smart objects, network elements, applications, web services and end-users. Research and industry attempt to integrate this evolving technology and the exponential growth of IoT by overcoming significant hurdles such as dynamicity, scalability, heterogeneity and end-to-end security and privacy. Motivated by the above, SEMIoTICS proposes the development of a pattern-driven framework, built upon existing IoT platforms, to enable and guarantee secure and dependable actuation and semi-autonomic behaviour in IoT/IIoT applications. Hence, in this paper, we describe the design of the SEMIoTICS architecture that addresses the aforementioned challenges. Specifically, the functional components of the proposed architecture are presented including also an overview of the appropriate realization mechanisms. Finally, we map two verticals in the areas of energy and health care and one horizontal in the areas of intelligent sensing use-cases scenarios to the suggested architecture in order to demonstrate its applicability to different IoT enabling platforms, types of smart objects, devices and networks.

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Trajectory estimation and 3D scene reconstruction from multiple cameras (also referred as Structure from Motion, SfM) will have a central role in the future of automotive industry. Typical appliance fields will be: autonomous navigation/guidance, collisions avoidance against static or moving objects (in particular pedestrians), parking assisted maneuvers and many more. The work exposed in this paper had mainly two different goals: (1) to describe the implementation of a real time embedded SfM modular pipeline featuring a dedicated optimized HW/SW system partitioning. It included also nonlinear optimizations such as local and global bundle adjustment at different stages of the pipeline; (2) to demonstrate quantitatively its performances on a synthetic test space specifically designed for its characterization. In order to make the system reliable and effective, providing the driver or the autonomous vehicle with a prompt response, the data rates and low latency of the 5G communication systems appear to make this choice the most promising communication solution

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