In recent years, the development of advanced driver assistance systems (ADAS) up to fully automated vehicles (AV), based on digitalization and boosted big data managing within dense multi-sensor networks, has become a strategic perspective for automotive and mechatronics engineering, oriented toward innovation of transports, infrastructure-vehicle and vehicle-to-vehicle real-time interconnections, automation in transport systems for people and goods and in smart farming, including safety-driving, navigation and positioning systems, traffic flows management and pollution controls. One of the key points for the development of safe and trustworthy ADAS and AV systems is linked to the accuracy and the reliability of sensors employed in multi-sensor networks, thus on traceable metrological characterizations, based on standard procedures and/or experimental methods widely agreed. In this work, the trustworthiness, in terms of data output reliability, stability and accuracy, of a digital 3D gyroscope integrated into a commercial multisensory MEMS, subjected to external vibrations, is investigated. The sensor is mounted on inclined planes (6 tilted angles, between 0° and 90°) and at 8 different rotation angles (from 0° to 360°); the inclined planes are fixed on a vibrating table. The static condition, as a function of tilt and rotation, is preliminarily investigated in the local gravitational field. Dynamic conditions are investigated by generating a sinusoidal horizontal acceleration, at a nearly-constant amplitude of 0.1 m s-2 at 2 Hz, along the horizontal direction for 120 s. Both static and dynamic reference accelerations are traceable to the absolute gravimetry, and the vibration primary standard, at INRIM.

On the trustworthiness of a digital 3D MEMS gyroscope responsiveness to dynamic accelerations for ADAS applications / Schiavi, A.; Iacomussi, P.; Rossi, L.; Prato, A.; Mazzoleni, F.; Facello, A.; Genta, G.; Signoretti, R.. - ELETTRONICO. - (2021), pp. 70-75. (Intervento presentato al convegno 1st IEEE International Workshop on Metrology for Automotive, MetroAutomotive 2021 tenutosi a Virtual Conference nel July 1-2, 2021) [10.1109/MetroAutomotive50197.2021.9502726].

On the trustworthiness of a digital 3D MEMS gyroscope responsiveness to dynamic accelerations for ADAS applications

Schiavi A.;Prato A.;Genta G.;
2021

Abstract

In recent years, the development of advanced driver assistance systems (ADAS) up to fully automated vehicles (AV), based on digitalization and boosted big data managing within dense multi-sensor networks, has become a strategic perspective for automotive and mechatronics engineering, oriented toward innovation of transports, infrastructure-vehicle and vehicle-to-vehicle real-time interconnections, automation in transport systems for people and goods and in smart farming, including safety-driving, navigation and positioning systems, traffic flows management and pollution controls. One of the key points for the development of safe and trustworthy ADAS and AV systems is linked to the accuracy and the reliability of sensors employed in multi-sensor networks, thus on traceable metrological characterizations, based on standard procedures and/or experimental methods widely agreed. In this work, the trustworthiness, in terms of data output reliability, stability and accuracy, of a digital 3D gyroscope integrated into a commercial multisensory MEMS, subjected to external vibrations, is investigated. The sensor is mounted on inclined planes (6 tilted angles, between 0° and 90°) and at 8 different rotation angles (from 0° to 360°); the inclined planes are fixed on a vibrating table. The static condition, as a function of tilt and rotation, is preliminarily investigated in the local gravitational field. Dynamic conditions are investigated by generating a sinusoidal horizontal acceleration, at a nearly-constant amplitude of 0.1 m s-2 at 2 Hz, along the horizontal direction for 120 s. Both static and dynamic reference accelerations are traceable to the absolute gravimetry, and the vibration primary standard, at INRIM.
2021
978-1-6654-3906-0
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2947592