No | Project Objective | Country | Website |
---|---|---|---|
1 | [UCY] - UNIVERSITY OF CYPRUS / (Coordintor) | CY | Visit Website |
2 | [GEO] - GEOIMAGING | CY | Visit Website |
3 | [SGX] - SIGNALGENERIX | CY | Visit Website |
4 | [ELEC] - ELECTI CONSULTING | CY | Visit Website |
5 | [NPT] - NPT NICOSIA PUBLIC TRANSPORT SERVICES & OPERATIONS LTD | CY | Visit Website |
6 | [LEF] - LEFKOSIA MUNICIPALITY | CY | Visit Website |
7 | [AUTH] - ARISTOTELIO PANEPISTIMIO THESSALONIKIS | GR | Visit Website |
8 | [STAM] - STAM SRL | IT | Visit Website |
9 | [AMT] - AZIENDA MOBILITA E TRANSPORTI S.P.A. | IT | Visit Website |
10 | [MPT] - MALTA PUBLIC TRANSPORT SERVICES (OPERATIONS) LTD | MT | Visit Website |
11 | [ALSA] ALSA GRUPO SLU | ES | Visit Website |
12 | [TALN] TRANSPORT DEPARTMENT, CITY ADMIN. OF TALLINN | EE | Visit Website |
13 | [BRIR] BRIMATECH RESEARCH gGmbH | AT | Visit Website |
will primarily contribute to the system architecture design and implementation, especially with regard to geographical information systems (GIS), data integration, and application development. Also, GEO will contribute to the development of the PAVE-SCAN decision support system (WP7) and in the GIS-driven post-processing activities of WP7. Finally, in collaboration with the other partners, GEO will contribute to the development and implementation of the pilot studies (WP8) and to the capacity-building activities of the project (WP9). GEO offers professional solutions in ICT and geoinformatics and has participated in more than 30 national and international RTDI projects. In addition, GEO was awarded the EUREKA Label (three times) from the EC and was also the Winner of the European Satellite Navigation Competition, ESNC 2017 – Madrid Challenge known as the ‘Galileo Masters’ for the LARA (LBS Augmented Reality Assistive System for Utilities Infrastructure Management through Galileo and EGNOS) project (funded by the EC, under the Horizon 2020 programme).
a privately-owned Technology Consulting SME operating in the fields of Artificial Intelligence, Data Science, Cryptography, and Blockchain. ELEC will lead WP4 which comprises the software development effort of the project and will contribute to WP2. In WP3, ELEC will be responsible for the development of the AI module for anomaly detection, computer vision for object (faces, registration plates, pavement defects, etc.) detection, clustering, and analysis of Lidar data. Furthermore, ELEC will coordinate the timely development and delivery of the PAVE-SCAN platform, PMS, DSS and AR application. For WP2, ELEC will collaborate with all technical consortium partners on the formulation of the system’s functional requirements and the design of the architecture with an emphasis on data capture, ingestion, ETL, and DBMS/back-end infrastructure. ELEC has significant experience in R&D, with several successful national.