OBU for Accurate Navigation through Sensor Fusion in the Framework of the EMERGE Project

• DOI: 10.3390/app14114401
• Publication Date: 2024-05-22T15:03:47Z
• Authors: Angel Luis Zuriar...; Valeria Ioannucci; Marco Pratesi; Roberto Alesii; Carlo Albanese; Francesco Valentini; Elena Cinque; Alessio Martinelli; Michele Brizzi
• Keywords: sensor fusion; Technology; QH301-705.5; T; Physics; QC1-999; loosely coupled algorithm; IMU; Engineering (General). Civil engineering (General); 01 natural sciences; on board unit; 0104 chemical sciences; Chemistry; on board unit; navigation system architecture; sensor fusion; loosely coupled algorithm; EMERGE project; IMU; GNSS; PointPerfect Correction Service; TA1-2040; Biology (General); QD1-999; navigation system architecture; EMERGE project

With the development of advanced driver assistance systems (ADAS) and autonomous vehicles (AV), recent years have seen an increasing evolution of onboard sensors and communication interfaces capable of interacting with available infrastructures, including satellite constellations, road structures, modern and heterogeneous network systems (e.g., 5G and beyond) and even adjacent vehicles. Consequently, it is essential to develop architectures that cover data fusion (multi–sensor approach), communication, power management, and system monitoring to ensure accurate and reliable perception in several navigation scenarios. Motivated by the EMERGE project, this paper describes the definition and implementation of an On Board Unit (OBU) dedicated to the navigation process. The OBU is equipped with the Xsens MTi–630 AHRS inertial sensor, a multi–constellation/multi–frequency Global Navigation Satellite System (GNSS) receiver with the u–blox ZED–F9P module and communication interfaces that afford access to the PointPerfect augmentation service. Experimental results show that GNSS, with corrections provided by augmentation, affords centimetre accuracy, with a Time To First Fix (TTFF) of about 30 s. During the on–road tests, we also collect: the output of fusion with inertial sensor data, monitoring information that assess correct operation of the module, and the OBU power consumption, that remains under 5 W even in high–power operating mode.