Centralized services with Vehicle-to-Infrastructure communication can be leveraged to provide precise and up-to-date maneuver recommendations to autonomous vehicles, enabling higher levels of automation. As centralized services have a complete view of the situation on the road, they can be exploited to enable L4 automation & beyond, as opposed to having each node manage an automated maneuver in a distributed way. It is thus pivotal to develop and deploy efficient real-time services, at the edge of the network, to enable low-latency maneuver management services. This paper presents an innovative open-source, 5G & Multi-Access Edge Computing enabled service, called Server Local Dynamic Map (S-LDM), aimed at collecting information about vehicles, based on standard-compliant messages, to create a map of the road, which can then be efficiently shared with other services managing L4 automation. We validated our service on both simulation and pilot trial on a production 5G network involving three main European Mobile Network Operators and real vehicles from Stellantis

S-LDM: Server Local Dynamic Map for Vehicular Enhanced Collective Perception / Raviglione, Francesco; Carletti, Carlos Mateo Risma; Casetti, Claudio; Stoffella, Filippo; Yilma, Girma M.; Visintainer, Filippo. - (2022), pp. 1-5. ((Intervento presentato al convegno IEEE VTC 2022 Spring nel 19-22 June 2022 [10.1109/VTC2022-Spring54318.2022.9860701].

S-LDM: Server Local Dynamic Map for Vehicular Enhanced Collective Perception

Raviglione, Francesco;Carletti, Carlos Mateo Risma;Casetti, Claudio;
2022

Abstract

Centralized services with Vehicle-to-Infrastructure communication can be leveraged to provide precise and up-to-date maneuver recommendations to autonomous vehicles, enabling higher levels of automation. As centralized services have a complete view of the situation on the road, they can be exploited to enable L4 automation & beyond, as opposed to having each node manage an automated maneuver in a distributed way. It is thus pivotal to develop and deploy efficient real-time services, at the edge of the network, to enable low-latency maneuver management services. This paper presents an innovative open-source, 5G & Multi-Access Edge Computing enabled service, called Server Local Dynamic Map (S-LDM), aimed at collecting information about vehicles, based on standard-compliant messages, to create a map of the road, which can then be efficiently shared with other services managing L4 automation. We validated our service on both simulation and pilot trial on a production 5G network involving three main European Mobile Network Operators and real vehicles from Stellantis
978-1-6654-8243-1
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2970897