ERASMUS+ Invest
ERASMUS+ Invest (INnoVations of REgional Sustainability: European UniversiTy Alliance). A European Alliance of 5 Universities. The vision of INVEST is to create a modern European University satisfying needs and requirements of the new generation of Europeans as the leaders of introducing sustainable life in regions across the Europe. We see INVEST as fully functioning, innovative and bottom-up network of universities, achieving higher standards in education, training, research and innovation through international synergy and excellence taking greater responsibilities towards development of inclusive society and knowledge-based economy. https://www.invest-alliance.eu/
Interconnected Smart Cities for Greece 2.0
This flagship action aims to develop a universal platform for the management of Smart Cities and create a central point of reference for Internet of Things (IoT) ecosystems. These ecosystems stem from research and development actions of some of the country’s largest academic and research institutions in collaboration with its largest Municipalities, and compose the innovation map of Greece in the field of Smart Cities. The aim of this flagship action is to develop an interoperability platform, implemented and distributed at multiple levels, which will bring together technologies and services derived from all the existing vertical implementations that are already in operation in the largest cities of Greece that have already manifested the their interest, or are going to do so, during the execution of the project. The platform, through the multitude of unified services provided that will allow the direct extraction of data from heterogeneous systems, as well as the visualization of all information, will now make possible the development of new innovative services and value-added products within the framework of the Greece 2.0 program and specifically in the sector of Smart Cities.
AI Assisted V2X time cRitical coMmunicatiOns for enhanced Road Safety, (AI ARMORS)
We propose to set-up and carry out experiments related to V2X (Vehicle-to-Everything) communications for road safety use case by enabling the involved stakeholders in road traffic environments to communicate and synchronize so as to avoid accidents or manage them in the best possible way using on site information from sensors and cameras. AI/ML techniques will be employed for a) false alarm avoidance, b) categorization of the importance of the situation and c) prediction of the real time video transfers’ QoS.
