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© 2017 Nokia 1 © 2017 Nokia 1 Connectivity, software and services will take over the driver’s seat when cars go driverless eMonday congress [email protected] Munich, 20 June 2017

Transcript of Connectivity, software and services will take over the ... · PDF fileConnectivity, software...

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© 2017 Nokia1 © 2017 Nokia1

Connectivity, software and services will take over the driver’s seat when cars go driverless

eMonday congress

[email protected], 20 June 2017

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© 2017 Nokia2

Fully automated driving

Basic enablers

• Sensors• Computing

Enhancements

• HD maps• Full V2X connectivity• AI & self learning

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© 2017 Nokia3

Advanced automotive applications demand faster connections

Traffic safety/HAD• Low latency• Reliability• Predictability

Traffic efficiency• Reliability

Infotainment• High bandwidth• Media/entertainment

Latency

Applications

• Internet access• Multimedia apps

• Traffic information• E-tolling• Navigation

• Hazard warning• Collision warning• Cooperative ACC

Full and reliable coverage Functional safety Communication usingdifferent network operator

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Connected car backendCommunication networksConnected car

What we do to unleash the potential of connected mobility

Over-the-air Connected carmanagement platform & applications

Environment to support management of vehicles, their software and a variety of applications for telematics, infotainment, …

Cyber secure connected car

End-2-end security over wireless communications technologies

Intelligent communication infrastructure

Low-latency broadband communication and distributed cloudlets

Confidential

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© 2017 Nokia5

Leverage the LTE suite

to meet the automotive industry’s needs

for reliable and enhanced V2X

communications

on the way to 5G

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© 2017 Nokia6

Connectivity - leveraging LTE for robust V2X communications – on the way

to 5G

Local sensors Local sensors

Parking garage

Local sensors

LTE V2N

LTE V2N

Traffic lights, road side infrastructure

LTE V2I

LTE V2V

Backend

NB-IoT

LTE V2P

LTE MEC V2V / eMBMS

Edge cloud (MEC)

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V2X – vehicle-to-vehicle/infrastructure: High level use cases – examples

#1

Road layer: (vehicles, bicycles, …)

Mobile network: incl. edge computing

Cloud layer: Auto, SP –service provider

V2V direct/indirect

Auto Cloud / SP Cloud

Support of safety & cooperative driving (ADAS, CACC, …)

1 3

Local map

Auto Cloud / SP Cloud

Broadcast updated lane-level maps with real time context

2

Local analytics

External real time data for road safety and comfort

Auto cloud / SP cloud

Local sensors

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V2X – vehicle-to-vehicle/infrastructure: High level use cases - examples

#2 4 5

V2P indirect

Increased road safety and awareness

Localisation

Distribution of GNSS correction signals

6

Road layer: (vehicles, bicycles, …)

Mobile network: incl. edge computing

Cloud layer: Auto, SP –service provider

SP cloudAuto cloud / SP cloud

Predictive connectivity

Auto cloud / SP cloud

Provide real time coverage / capacityinformation about cells en route

Operator network heat maps

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Nov. 2015

Industry collaboration and cross-sector trials/testbeds are key for

innovationUse cases

• Electronic brake lights

• Cooperative passing assistant

Nov. 2016 Use cases

• Electronic brake lights

• Cooperative passing assistant

June 2016 Use cases

• Electronic brake light

• Intersection assistant

Feb. 2017 Use case

• Connected rental carhttps://youtu.be/mlQcpdUdowg

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We have a strong joint drive towards fully automated driving

5G Automotive Association

European Automotive - Telecom Alliance

Develop, test and promote communications solutions and accelerate their commercial availability and global market penetration

The main goal …is to promote the wider deployment of connected and automated driving in Europe

5GCAR project 5G NetMobil project

5G system architecture to optimize end-to-end network connectivity for highly reliable and low-latency V2X services

“Tactile internet”-architecture and principles for tactile connected driving to support low latencies and high reliability

Car2MEC projectMEC-View project

City ofUlm

Multi-access Edge Computing (MEC) based recognition of objects using sensors installed at road side infrastructure to support automated driving

Verify and evaluate MEC based low latency use cases and a distributed geoservice at the A9 motorway testbed near Munich

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Outlook: 5G in Munich – a possible introduction scenario for Euro 2020

Source – adopted from: Digital Gipfel 2017, 5G in Deutschland Szenario zur Realisierung bis zum Jahr

2020:

http://plattform-digitale-

netze.de/app/uploads/2017/06/170608_PF1_060_5G_Realisierungen_2020_Web.pdf

Munich area: use of 700MHz to provides high level of coverage and to demonstrate services for automotive industry and utilities

Munich inner city area, main public transport connection between airport, stadium and city as well as airport and stadium areas to support large number of subscribers with high bandwidth demand

Hotspots like stadium, main train station and airport and also at research locations to most advanced high bandwidth applications with appropriate devices

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Summary

• Predictive connectivity is an important enabler of safe and comfortable automated driving

• 4G (LTE) networks can deliver substantial improvements to connected cars on the way to 5G

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