OBJECTIVES

HELMET main goals are:

1: To develop a cyber-secured multimodal, multi-sensor integrity monitoring architecture based on EGNSS to introduce High Integrity Location Determination System (LDS) for cars and trains automation aggregating the demand of monitoring rail and road assets with UAV;

2: To assess the system performance by a Proof-of-Concept (PoC), creating a liaison with EMERGE, the Italian project (co-founded by MISE) based on Galileo and 5G for the connected car, to exploit the urban test bed in the town of L’Aquila, Italy;

3: To draw a roadmap for exploitation and future standardization and certification of HELMET results in terms of (a) the designed multi-modal AIMN architecture, and (b) high integrity and accuracy OBU algorithms fully customized for land transportation (rail and road).