High precision Position, Velocity and Time estimation of vehicles for advanced Intelligent Transportation System applications with mass-market GNSS

Anno
2019
Proponente Augusto Mazzoni - Professore Associato
Sottosettore ERC del proponente del progetto
PE8_3
Componenti gruppo di ricerca
Componente Categoria
Anna Mitra Dottorando/Assegnista/Specializzando componente non strutturato del gruppo di ricerca
Mattia Giovanni Crespi Componenti strutturati del gruppo di ricerca
Guido Gentile Componenti strutturati del gruppo di ricerca
Abstract

GNSS (Global Navigation Satellite Systems) chipsets currently used in automotive are able to provide real time internal solution, in terms of estimated position for each observation epoch (i.e. 1 Hz), on the basis of measured receiver-satellites pseudoranges (i.e. code observations).
The current accuracy well satisfies infotainment and route navigation application requirements, but it is not able to support the emerging automotive applications. In particular, Advanced Driver Assistance Systems (ADAS), Autonomous Driving (AD) and Vehicle-to-Everything (V2X) applications need higher accuracies.

Despite the many successful applications in mobility and logistic, no single positioning technology is enough to support automated driving, because individual methods lack the necessary accuracy and robustness for safety critical applications. Positioning in Autonomous Driving is being then developed on the basis of several independent methods: telecom network positioning, car sensors and HD-map positioning, satellite positioning and inertial positioning.
Moreover, even the combination of several technologies is enough to support the applications that require less than one meter a precision.

The proposed research project aims to develop an innovative GNSS based high accuracy positioning approach for vehicles able to provide Position, Velocity and Time (PVT) estimation, overcoming the limitations of the current approaches.
The proposed innovative solution, called GNSS POWER (POsition and Variometric Velocities Estimation in Real time), has the goal to demonstrate the effectiveness of a reliable solution able to fulfil the precision requirements for automotive applications. This issue is a totally open challenge and, considering the volume of the market, a hot topic in research and development.

ERC
PE8_3, PE10_14
Keywords:
POSIZIONAMENTO SATELLITARE, SISTEMI INTELLIGENTI DI TRASPORTO, INFRASTRUTTURE DI TRASPORTO

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