FEM-IoT is a cluster to promote transfer and research in the Internet of Things sector.
In this event, several of the members will present the different proposals of the Connected Street Infrastructures project. This project aims to contribute to the definition, implementation and development of street infrastructures in the smart city of the future in order to design a global architecture that can respond to all the connectivity and service needs of an urban environment.
Trajectory prediction system using machine learning techniques, by Raúl Parada (CTTC).
Instant detection of pedestrians and bicycles crossing pedestrian crossings, by Enric Sala (CVC).
Ultra-low power electronics for harvesting devices, by Claudia Delgado (Eurecat).
V2X reference kit: Stack and demonstration applications, by Jordi Marias (i2CAT – UPC-WNG).
LoRa and LR-FHSS as IoT connectivity technologies at urban scale, by Xavi Vilajosana (UOC).
Adaptive sampling in wireless IoT networks, by Fernando Maura (UPF).
Access control to low emission zones, by Carles Anglès (URV).
FEM-IoT will present the results achieved during the implementation of the Connected Street Infrastructures project.