Connected and automated vehicles currently rely on on-board resources to implement autonomous functions, leaving the mobile network for non-mission-critical applications. At the same time, the ultra-low latency, the increased bandwidth, and the softwarization and virtualization technologies of 5G systems are opening the door to multiple applications in the context of connected and automated vehicles. The deployment of applications at the edge of the mobile network under the Multi-access Edge Computing (MEC) paradigm becomes an excellent option for meeting the latency requirements imposed by connected mobility. In this context, this demonstration showcases how remote and autonomous driving applications, such as lane tracking and object detection, can be offloaded to a MEC-enabled 5G network without impairing their effectiveness, and the change in the latency perceived by end-users with respect to a cloud deployment.

Enabling Autonomous and Connected Vehicles at the 5G Network Edge

Estefanı́a Coronado;Roberto Riggio
2020

Abstract

Connected and automated vehicles currently rely on on-board resources to implement autonomous functions, leaving the mobile network for non-mission-critical applications. At the same time, the ultra-low latency, the increased bandwidth, and the softwarization and virtualization technologies of 5G systems are opening the door to multiple applications in the context of connected and automated vehicles. The deployment of applications at the edge of the mobile network under the Multi-access Edge Computing (MEC) paradigm becomes an excellent option for meeting the latency requirements imposed by connected mobility. In this context, this demonstration showcases how remote and autonomous driving applications, such as lane tracking and object detection, can be offloaded to a MEC-enabled 5G network without impairing their effectiveness, and the change in the latency perceived by end-users with respect to a cloud deployment.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11582/321808
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