In our cities mobility is a key concern. Intelligent Transport Systems (ITS) have the potential to revolutionize mobility, increase safety and tackle growing emission and congestion problems. Our team carries out cutting-edge research paving the way towards more reliable, safe, efficient and green transport systems. Our research priorities include CCAM, Electromobility, Cybersecurity and Intelligent Networks and Services.
Mobile and ubiquitous AI/ML
Cooperative ITS (C-ITS) – Hybrid communication technologies
Distributed/Federated AI/ML MANO and applications
Human Factors: Human-Machine Interaction (HMI), interaction of automated vehicles with other road users
Cooperative ITS (C-ITS) – Hybrid communication technologies
Multi-sensor Data Fusion
Advanced Driver Assistance Systems (ADAS) and automotive applications
Mobility as a Service (MaaS)
Electric vehicles, smart grids, load management algorithms, vehicle to grid integration
Vehicular/ITS cyber-risks analysis
Improving intelligent vehicle technologies EU-funded Hi-Drive will push automated driving …
The 5G-IANA project aims at providing an open 5G experimentation …
The European-funded Ride-to-Autonomy project aims to contribute to the development …
City-Level Cyber-Secure Multimodal Transport Ecosystem CitySCAPE is a project funded …
Electric Vehicle Charging Infrastructure for improved User Experience eCharge4Drivers is …
SHared automation Operating models for Worldwide adoption SHOW aims to …
TERAWAY is a H2020 5GPPP Phase III project aiming to …
5G for cooperative & connected automated MOBIility on X-border corridors …
Aligning Research & Innovation for Connected and Automated Driving in …
ICT Infrastructure for Connected and Automated Road Transport ICT4CART is …
Autonomous vehicles integrated within the urban context The aim of …
fASt and Smart charging solutions for full size URban hEavy …
Increasing efficiency of inspection and maintenance tasks to keep necessary security levels of ageing civil infrastructure has become a challenge. This is precisely the objective
We are happy to announce that the paper “Embedded intelligence for safety and security machine vision applications” submitted by ISENSE researchers and TEKNIKER under the
The RESIST Final Event was held virtually on 24 June 2022, concluding successfully the project’s innovative scientific journey! The participants had the chance to see
Dr. Panagiotis Lytrivis
Team leader
9, Iroon Politechniou str. Polytechnic Campus, 15773 Zografou, Athens, Greece.
Email: panagiotis.lytrivis@iccs.gr
Tel: +30 210 772 2398 Fax: +30 210 772 3557 (or -2291)
