an end-to-end approach for mastering rising software...

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Source: Volkswagen, https://www.welt.de/wirtschaft/article157906275/Wie-der-Apple-Effekt-die-Autoindustrie-veraendert.html

Cars are very complex hardware products

An end-to-end approach for mastering rising software complexity




OEM reduce complexity by pre-assembly



… and re-use parts for different cars



Cars will be highly complex software products


AUTOSAR

Classic

AUTOSAR

Classic

Android LinuxAUTOSAR

Classic

AUTOSAR

Adaptive

Linux

Composed

software

Basic

software

Apps

Software update over the air

Service oriented architecture

Crypto & Security

Composed

software

Basic

software

Apps

Composed

software

Basic

software

Apps

Composed

software

Basic

software

Apps

Composed

software

Basic

software

Apps

Composed

software

Basic

software

Apps

Composed

software

Basic

software

Apps

Operating system


A software platform to reduce software complexity?


AUTOSAR

Classic

AUTOSAR

Classic

Android LinuxAUTOSAR

Classic

AUTOSAR

Adaptive

Linux

Composed

software

Basic

software

Apps

Crypto & Security

Composed

software

Basic

software

Apps

Composed

software

Basic

software

Apps

Composed

software

Basic

software

Apps

Composed

software

Basic

software

Apps

Composed

software

Basic

software

Apps

Composed

software

Basic

software

Apps

Software platform

Vehicle specific common services(Software update over the air)

Middleware

Operating system


Reuse to handle complexity and allow for scalability


Software platform

Vehicle specific common services(Software update over the air)

Middleware

Operating system

Vehicle segment A

Vehicle segment B

Vehicle segment C


Stefan PruiskenDirector Business Development Software Platform and Automated Driving

Autonomous Driving Meetup Munich, Sep 19, 2019


Driving the future of software with Elektrobit (EB)


Embedded and connected

software products and services

for the automotive industry

Software powering over

1 billion devices in more

than 100 million vehicles

Vehicle infrastructure

Connected vehicle

User experience

Automated driving


Source: McKinsey & Company (2019): Automotive software and electronics 2030. Mapping the sector’s future landscape.

Advances in technology as enabler for major industry trends


Connected ElectricSharedAutonomous


TodayYesterday

Automotive transformation


AD Level 2+

Multi-graphics Display

AD Level >2+

Tomorrow

Head Unit

AD Level 1Future infotainment & digital marketplace

Traffic services OTA updates

To operate the car of tomorrow, we need to completely re-think the E/E architecture!• Centralized high performance computing units• High-speed, reliable and dependable networking• Connected vehicle within an infrastructure eco-system

e.g.Powertrain

e.g. Body/

GW

e.g. UX

e.g. AD

Safety component

Safety component

Domain designed

vehicle network architecture

ECU-designed

E/E architecture

Server designed


Fully connected


Source: Morgan Stanley Research

Making hardware an interchangeable and exchangeable part of the overall vehicle

Future value will be created through software


20 % Content 40 % Hardware 40 % Software10 % Software85 % Hardware5 % Content

20232013

Value of a car: yesterday vs. tomorrow


Based on Automotive megatrends

Major needs for new OEM business models


Release and update user-and vehicle-applications

instantly

Hardware- and Software supplier independence

Time to marketFlexibilityDifferentiation Lifetime revenues

Strong focus on user perceived differentiable

attributes

Revenue stream during whole vehicle lifetime


Examples of topics ahead to make future mobility happen


High-performance domain architectures

Cyber security

Upgradable and scalable SW and HW platforms

Consolidated software systems

Weight reduction

C2X communication

Automation

Electrification

Software updates over the air

Artificial intelligence

Efficient data handling

Personalization

Third-party access

Evolution after SOP


In-car deploymentR&D toolingIn-vehicle AItraining & management

End-to-end approach from development to deployment


Big data lake of real and simulated driving scenes

Cloud Computing

Data management

AI toolingR&D runtime environment

In-vehicle software platform

In-vehicle high-performance computer

Cloud/server-based computing

Development environment

1 2 3 4






Cloud Computing

Data management






1 2 3 4


Tackling the challenge of validating automated driving


Complexity

Difficult conditionsHazards

Unusual situations


Billions of test kilometers and endless amounts of data


Pegasus project: 240 million kilometers„Absicherung automatisiertes Fahren“,

Prof. Winner, 6. FAS-Tagung, München, 2013.Toyota (TRI): 8.8 billion test miles

Toyota Research Institute (TRI): Toyota's Robot-Car Line In The Sand: 8.8 Billion Test Miles To Ensure Safety, 2016.

Waymo: 10 billion simulated miles“At Waymo, we’ve driven more than 10 million

miles in the real world, and over 10 billion miles in simulation,” Waymo CTO Dmitri Dolgov, 2019.


https://www.elektrobit.com/products/automated-driving/eb-assist/test-lab/

Managing petabytes of data with a management platform


Cloud-computing platform

EB Assist Test Lab platformDatabase

Raw data

Labelground truth

Scenarios Test results

ArchiveTest cases

Dataenhancement

Test casemanagement

Testexecution

Test postprocessing

Simulated driving scenes

Test drive recording

Ingest

Ingest








Cloud Computing

Data management






1 2 3 4


• Connection to data lake and training of AI models

• Enable usage of latest open source software

• Management of use case optimized AI models

• Storage of validation information

• Optimized (AUTOSAR apps) deployment on edge devices

Holistic AI management system

AI as one important pillar of automated driving



From problem space and data ingest to edge device deployment and evaluation

AI tooling: inference engines for application deployment


AI inference engines prototyping

Problem definition & data ingest

Deployment & validation

Evaluate prototype

Evaluate results on targeted edge device


Use test lab platform to train AI models


AI inference engines prototyping

Problem definition & data ingest

Deployment & validation






Cloud Computing

Data management






1 2 3 4


• Easy-to-use graphical user interface

• Record and replay arbitrary data streams synchronously

• Flexible combination and parametrization of modules

• Execute tests in-the-loop e.g. for validating AI models

• Various display capabilities

– Scope displays and value display

– Video data & overlays

– 2D, 3D

• Built-in interaction with Test Lab platform

Comprehensive tool for development, test, validation, and visualization

R&D runtime environment for fast iteration loops







Cloud Computing

Data management






1 2 3 4


New E/E architectures form the cornerstone of future mobility


Domain designed


yesterday today

ECU-designed

E/E architecture

e.g.Powertrain

e.g. Body/Gateway

e.g. Cockpit

e.g. Automated

driving

Safety component

business

tomorrow

Server designed


Safety component

business


Key properties of a software platform which define success

Relevance of an in-vehicle software platform


A. Software building blocks ready for integration

B. Distributed collaboration enabled by virtual platform

C. Vehicle lifetime operations & deployment into different vehicle platforms

Safety component

business


Smart Gateway

A. Software building blocks for new E/E architectures


Real-time OS

Soft

war

e D

eve

lop

me

nt

Kit

Dev

elo

p, s

imu

late

, an

alyz

e, r

un

Cyb

er

Secu

rity

&C

on

ne

cted

Ve

hic

le S

erv

ices

User experience Vehicle computer

Automated driving

Sensor / Actuators

Server ECU Integration ECU Sensor|Actuator Off-Board

Performance OS

Service oriented architectureOEM compliant, up-to-date and domain specific platform services

Autosar classicSafety & Security

Realtime & Safety OS

Microcontroller abstraction

Adaptive AutosarSafety & Security

Hypervisor, POSIX Performance OS

Microprocessor abstraction

Third party

EB products

Project specific


B. From architectural concept to virtualization


E/E architecture defined by OEM

Integration ECUs Sensor|Actuator ECUs

Prototyping

Function development

Test and validation

Software integration

Virtual development platform for OEM and Tier1

Efficient integration to real hardware

Export architecture to

cloud with simulation tool

Server ECU


Hardware and function coupling

C. Collaboration model changes in the automotive industry


SOP EOP EOL

New functions and servicesFunction development

ECU integration

Hardwaredevelopment

Hardware production: Updates/changes possible

Spare part delivery, garage maintenance services

Middleware adaption including security & safety supportMaintenance and lifetime security & safety support

Middleware

ECU integration

OEM / SW supplier

HW Supplier

Function development continues after SOP

SW platformprovider

Spare part delivery, garage maintenance services

Function development

ECU integration

Hardwaredevelopment

Hardwareproduction

OEM / Tier

Tier

SOP EOP EOL

Function development stops at SOP

Middleware maintenanceMiddleware

Middlewareprovider

The vehicle as an IoT device → Software platform provider partner throughout vehicle lifecycle

SOP: Start of productionEOP: End of productionEOL: End of vehicle lifecycle


C. Operating software platform


Hardware

Software platform

Software applications

OEM vehicle platforms

OEM

EXE

Hardware suppliers / Tier

Silicon vendors

Software function suppliers

Virtual


Let‘s conclude

• Software defines the value of a vehicle

• Software complexity rises

• Long-term collaboration ensures success

• Holistic and interoperable toolchain masters vehicle lifetime operations− Integration of data lakes− AI tooling− R&D runtime environment− Software platform & deployment

Thank you!

Stefan Pruisken ([email protected])Director Business Development Software Platform and Automated Driving

Autonomous Driving Meetup Munich, Sep 19, 2019

https://www.facebook.com/EBAutomotiveSoftware/

https://www.linkedin.com/company/elektrobit-eb-automotive

https://www.youtube.com/user/EBAutomotiveSoftware?hl=de

https://twitter.com/eb_automotive?lang=de

an end-to-end approach for mastering rising software...

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