Edge computing for connected and autonomous vehicles

Running

Wednesday, 30 June: 16:30 - 17:30 CEST

Location

My MWC Online, Hall Virtual

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Session Description

Multi-Access Edge Computing (MEC) is a key enabler for enhanced vehicle communications and high levels of autonomous driving. By providing drastically improved compute and storage capabilities at the edge of the network and therefore closer to the vehicles where the capabilities are actually needed, MEC facilitates applications that require ultra-low latency, high bandwidth, near real-time responsiveness with high reliability. 
 
This makes MEC crucial for a whole range of connected driving scenarios, and especially safety-critical applications. Typical use cases that will benefit from MEC capabilities could include, for example, collision risk warnings (in particular at high speeds and following unexpected actions from other traffic participants), warnings of nearby vulnerable road users such as pedestrians or cyclists, cooperative lane changes, real-time traffic alerts, real-time telemetry, high definition maps for real-time navigation, and new, innovative passenger experiences.
 
This workshop will explore the progress, potential, business opportunities and use cases created by MEC for connected and autonomous vehicles.

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Specialist Networking Workshops

These sessions will welcome iLeaders, Leaders, Ministers & MP Attendee pass holders to a new intimate and interactive virtual environment. Crafted to enable online networking; the specialist workshops will provide the opportunity for you to make new connections and strengthen existing relationships whilst deep diving into specialised areas of interest.

Join to hear from our subject matter experts and enter discussions from which you will take away practical and actionable solutions that will benefit your business. 

Networking at this online event is powered by twine; a roulette style professional networking application. To make the most of the networking time during this session, complete your twine profile in advance: https://appweb.twine.nyc/login 

 

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