This document discusses edge computing and in-car computing technologies from Huawei. It provides an overview of Huawei, their vision for connected vehicles and connected life, and the core technologies like 5G, sensors, and AI that will enable autonomous vehicles. It outlines Huawei's role in the evolving automotive ecosystem and partnerships with automakers, suppliers, and digital platforms.

1. From edge computing to in-car computing
How de Laval nozzles, the 2nd law of thermodynamics
and a cup of coffee help to transform mobility
Goetz Brasche and Heiko Joerg Schick • May 15, 2018
From edge computing
to
in-car computing

2. From edge computing to in-car computing 2
Agenda
01 Huawei – a glimpse of the philosophy that guides the company on its way to a word-leading ICT company
02 Vision – from connected cars to connected life
03 Technologies – a roadmap of core technology ingredients for autonomous driving
04 Ecosystem

3. From edge computing to in-car computing 3
Huawei

4. From edge computing to in-car computing
Huawei at a glance
180,000
Employees
14
R&D centers
80,000
R&D employees
No. 70
in Interbrand’s Top 100
Best Global Brands
170+
Countries
No. 83
in the Fortune Global 500
4

5. From edge computing to in-car computing
Globalized positioning with localized operations
R&D center
Huawei headquarters
Technical support center
Accounting shared service center
Supply center
Training center
Solution center
• Operations in 170+ countries; approximately 180,000+ employees of 160+ nationalities; 70% of staff hired locally
• Huawei's global business maximizes value by projecting local capabilities around the world. We develop and retain talent locally, which drives jobs and growth.
• Huawei is increasing its "glocalization", delegating more end-to-end business responsibility and authority to local teams.
• We aim to develop a healthy industry in which every player can succeed, and we pride ourselves on being a responsible local corporate citizen.
5

6. From edge computing to in-car computing 6
ICT solutions and services for three customer groups
Hundreds of millions of consumers Global carriers
Global enterprises, governments,
and industries
Consumer
Products & Services
Iconic global technology brand
Carrier
Products & Services
Best strategic partner for carriers
Enterprise
Products & Services
Enabler and preferred partner for digital
transformation
Cloud
Products & Services
Cloud partner with reliable, trusted,
evolvable services
A global leader in ICT products and solutions
Information Distribution & Presentation Information Transmission Information Processing & Storage
Data centre infrastructure
Big data analytics
AI platforms
Smartphones
MBB & home appliances
Wearables
Vehicle devices
Wireless networks
Fixed networks
Carrier software
Core networks
Enterprise networks
IoT connection management
platforms
Managed services and system integration
è
è
è

7. From edge computing to in-car computing
Robust growth across all business segments, thanks to balanced
global presence and strategic focus
• Carrier business: Working with customers to explore new models of network development
and shifting from investment-driven to value-driven; aiming for new business growth.
• Enterprise business: Accelerating digital transformation for companies around the world.
Innovative products and solutions for cloud computing, enterprise campus, data centre,
and IoT. Widespread uptake in a range of industries: smart city, safe city, energy, finance,
transport, and manufacturing.
• Consumer business: Key breakthroughs in the global high-end market, taking Huawei's
brand to a new level.
• Huawei Cloud: 100+ services, 50+ complete solutions, including manufacturing, enterprise
intelligence, SAP, high-performance computing, and IoT.
7
Sustainable and robust growth
35,4
39,3
46,7
61,3
75,1
~92
0
10
20
30
40
50
60
70
80
90
100
2012 2013 2014 2015 2016 2017
US$billion

8. From edge computing to in-car computing 8
Huge investments in R&D and innovation
Continue to invest over 10% of revenue into R&D, which enhances our competitiveness while propelling the industry and
advancing technologies.
0,9
1,2
1,6
2,1
2,7
3,8
4,8
5,2
6,6
9,2
11
~13,8
0
2
4
6
8
10
12
14
16
2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
US$billion

9. From edge computing to in-car computing 9
Customer centricity as key driver
Our organizational philosophy is characterized by four fundamental values and guided by an evolving management
philosophy that centers around survival and constant movement. Some examples …
https://f5t25.files.wordpress.com/2010/09/f13_05.jpg https://jasf1961.files.wordpress.com/2016/06/laval-nozzle-cohete-velocity-presic3b3n-exterior-10000-pa.gif?w=950
Organizational agility through dissipative
structures with minimal entropy
The 2nd law of Thermodynamics De Laval nozzles The power of a cup of coffee
Fundamental breakthrough through focused
research and concentration of efforts via core
competency centers
Open innovation – open mindset. Reaching out
to the academic elite, fostering collaboration
and ingenuity emerging from high-performing
teams

10. From edge computing to in-car computing 10
Vision

11. From edge computing to in-car computing
Connected vehicle-to-everything communication
Lane merge
See-through
Network assisted vulnerable pedestrian protection
Remote driving for automated parking
High definition local map acquisition
11

12. From edge computing to in-car computing 12
Video

13. From edge computing to in-car computing 13
Cities are at the centre of modern life.
Connection will do
more than you can
imagine.

14. From edge computing to in-car computing 14
In 2017 the airspace in Shanghai
(China) was reshaped to create the
first low airspace digital network.
2 authorized
flying zones,
diameter 6 km,
height 200m.

15. From edge computing to in-car computing 15
Technologies

16. From edge computing to in-car computing 16
From connected car to connected life
Used Cars
Re-Ordering
Consumer
Experience
Design
SellingLeasingManufacturing
Assembling
Car
Life-Cycle
Shared
mobility
Digital
experience
Connectivity
Automated
driving
è
• Mobility-on-
Demand
• IoT Platform
• Content &
services
integration
• V2V & V2X
• ADAS + V2X
• Demand
prediction
• In vehicle
• At work
• At home
• Connected Life
From “Product” to “Service” value-chain
base on vehicle life-cycle. Computer EngineCar Network
Data processing
Data transmission
Data generation
Connected Car
Connected Life
Smart Car
Smart Home
Smart Transportation
Smart City
è
Control Data
è

17. From edge computing to in-car computing
Autonomous driving requires new technology breakthroughs
17
Automated Driving
In-Car AI Engine
• Ultra powerful AI processing
• High power efficiency
• High throughput sensor data fusion
Intelligent Sensors
• Ethernet I/F
• Sensor data preprocessing
• LIDAR, Radar, Camera, …
User Experience
Infotainment Unit
• HUD and AR/VR
• Voice and gesture control
• Navigation: HD maps
• Biometrics and healthcare
• 3rd party software
Infrastructure
Connectivity
• 4.5G and 5G
• Cellular V2X
• Advanced Antennas
Centralized Control Unit
• Multi-core and multiple VM partitions
• Basic system services, Classic and Adaptive AUTOSAR
• Remote diagnostic and update (OTA)
Gateway and In-Car Networks
• Ethernet and CAN I/F
• Routing and firewall
• Time-Sensitive Networking

18. From edge computing to in-car computing
Overall view of 5G vehicle-to-everything communication
18
Road users:
• Pedestrians
• Bicyclists
• New and old cars
Cooperative maneuver and
trajectory planning
Driver
Prediction of situation and
intention
Cooperative perception
Data and
information basis for
subsequent traffic
Interpretation
and plausible
check
Negotiation and
exchange of information
with road users
Information
to other
road users
Exchange with
other road users
Sensor with
other road
users
Own sensors
Longitudinal and lateral accelerations, car distances, video (HD or
preprocessed), sensor for local road conditions
AdvancedUseCase
Family
BasicUseCaseFamily
Car Internal
V2X

19. From edge computing to in-car computing 19
Roadmap of Mobile Data Centre project
TIME20252020 / 20212018
Semi-discrete Solution Zone Oriented Architecture
& Vehicle Control Computer
Vehicle Function in the Cloud
Vehicle Centralized E/E ArchitectureResearch Platform
System-on-a-Chip Integration
Mobile Data Centre
(MDC)
Seamless communication with on-board
and off-board systems.

20. From edge computing to in-car computing 20
Research Platform — Semi-discrete Solution
Interconnect
Subsystem
Processing Subsystem B
Management,
Safety & Legacy I/O
Processing Subsystem A
CameraCamera ports
Ethernet
Ethernet
Ethernet
CAN-FD
LIN
Ethernet

21. From edge computing to in-car computing 21
Ecosystem

22. From edge computing to in-car computing 22
The future ecosystem
Huawei’s role and partner offering
Mobility service provider
Captive
dealers
Autonomous car
manufacturer
Technical platform
provider
- Autonomous driving technologies
- Internet of Things platform
Digital marketplaces
(B2C, B2B, search, social)
Captive
dealers
Captive
dealers
NSCs NSCs NSCs
OEMs OEMs OEMs
Multi-brand
independents/used
Clients Clients
OEMs
Start-ups
OEMs Technologies
Players
Start-ups
Technology/digital players
e.g. Google, Amazon?
Tier 1 suppliers
2015 industry structure 2025 industry structure
Source: Connected Car Study 2015, Racing ahead with autonomous cars and digital innovation, PwC

23. From edge computing to in-car computing
Copyright © 2018 Huawei Technologies Düsseldorf GmbH. All Rights Reserved.
The information in this document may contain predictive statements including, without limitation, statements regarding the future financial and operating results, future product portfolio, new technology, etc. There are a number of factors that could cause actual results and
developments to differ materially from those expressed or implied in the predictive statements. Therefore, such information is provided for reference purpose only and constitutes neither an offer nor an acceptance. Huawei may change the information at any time without notice.
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