Projects

GuardAI: Enhancing Robustness and Security of Edge AI Systems for Safety-Critical Applications

The GuardAI project seeks to enhance the security of edge AI systems, addressing their critical vulnerabilities. Emphasis is placed on high-stakes domains, as outlined in the EU’s AI Act, where these systems, including drones, connected and autonomous vehicles, and network edge infrastructure, are becoming widespread and will play a pivotal role in making crucial decisions. These cutting-edge applications heavily rely on real-time decision-making and the processing of sensitive data, rendering them susceptible to various security threats and adversarial attacks. Therefore,...

TRUSTEE – TRUST AND PRIVACY PRESERVING COMPUTING PLATFORM FOR CROSS-BORDER FEDERATION OF DATA

Today we live in a data-driven era with the inevitable emergence of interdisciplinary, geographically dispersed, data repositories that do not necessarily abide with existing interdisciplinary data representation standards, nor they belong to any data federation initiatives, rendering them unusable and difficult to access. Moreover, maintaining integrity, privacy, and security in such exchanges is typically extremely difficult or impossible. Foundation for Research and Technology - Hellas (FORTH) and the Hellenic Mediterranean University (HMU) joined forces with several other European partners under...

ENVISION – Vision Based Navigation and Four Dimensional Scene Awareness

This project is a direct collaboration among Panasonic Automotive Systems Europe and MIPS Group (mips.isi.gr) of ISI/ATHENA and its aim is to study the feasibility of one or more re-localization techniques on a proof of concept level. More specifically, the project is targeting towards exploring the feasibility to implement hybrid Simultaneous Localization and Mapping approaches in a given map of the environment based on the output of a multitude of sensors installed in the car (cameras, GPS, Sonars). Therefore, the main...

Sensor-based ego-Vehicle Re-localization and Registration Activities

This project is a direct collaboration among Panasonic Automotive Systems Europe and MIPS Group (mips.isi.gr) of ISI/ATHENA and it is focused on defining and implementing novel multimodal localization methods for Connected and Autonomous Vehicles. The project duration is 2 years. (more…)

XR LABS Virtual laboratories using interactive technologies in virtual, mixed and augmented reality environments

XRLabs focuses on modern educational needs of student-centered education systems that do have geographic and time boundaries. It provides new teaching methods, and rich social interactions by exploiting digital educational content through the use of new virtual, augmented and mixed reality technologies. With this in mind, the proposed Dynamic Content Labs platform is based on highly innovative and interactive serious games combining basic and applied research results with mature extended reality technologies to enhance day-to-day (Greek and international) educational practices....

DEEP- EVIoT Deep embedded vision using sparse convolutional neural networks

The main purpose of the project is to design and implement an heterogeneous platform consisting of multiple Low Power Graphic processors with deep learning algorithms acceleration capabilities. A software SDK for vision problems using optimized deep sparse coding techniques especially designed for the aforementioned platform will be provided. The significant benefits of the proposed deep eviot system extends to a very wide range of applications from industrial and surgical robotics to autonomous vehicles, smart security cameras and military applications. Duration: 24...

My OliveGrovCoach : Analysis, modeling and multi-spectral sensing for the predictive management of Verticillium wilt in olive groves

Verticillium wilt of olive is a vascular pathogen and the intensive cultivation of olives in almost all olive growing countries has caused significant spread of this disease. Within MyOlivGroveCoach, we will focus on empowering olive growers and agronomists with diagnosis and management tools for the timely detection of infected trees with non-visible symptoms (initial stage of the infection or asymptomatic stress). This system will provide a management mobile and web application integrated with a pipeline of advanced analysis and multispectral...

CPSoSAware : Cross-layer cognitive optimization tools and methods for the lifecycle support of dependable CPSoS

The Industrial Systems Institute coordinates the EC funded project CPSoSaware, which targets on shaping the future of Smart Mobility and Smart Manufacturing by developing autonomic, secure, cognitive cybephysical system of systems that will support operators and users using Artificial Intelligence, Dynamic Reconfiguration and Augmented Reality Technologies. The CPSoSaware solution aims to create self-aware cyber-physical systems of systems (CPSoSs) that detect and respond to physical and cyber environment changes, helping to avoid information overload, and reduce their management complexity by the...