SlideShare a Scribd company logo
© 2020 Strategy Analytics
The Road from ADAS to
Autonomous Vehicles:
Navigating the New Reality
Mark Fitzgerald
Director, Autonomous Vehicles
© 2020 Strategy Analytics
Agenda
• One Page Strategy Analytics Overview
• What is happening in ADAS and Autonomous Driving?
• Sensors: ADAS and Autonomous Driving Trends
• Automotive Architectures
• Q&A
2
© 2020 Strategy Analytics
Strategy Analytics Overview
3
© 2020 Strategy Analytics
Strategy Analytics Overview
• 12-month syndicated subscription
services on specific industries and/or
technologies
• Custom Consulting on Companies,
Brands, Products, and Technologies
• Market Intelligence on Buyer Behaviors,
Consumer Attitudes, Brand Preferences,
and Emerging Behaviors
• Design Guidance and Competitive
Intelligence on User Experiences and
Opportunities for Innovation
• Intelligence on Consumer Activities,
Behavioral Patterns, and Usage Profiles
through Big Data Analytics
4
© 2020 Strategy Analytics
What is Happening in ADAS and
Autonomous Driving?
5
© 2020 Strategy Analytics
AV ecosystem
Strong signs of “reality” breaking out at many companies;
COVID-19 not helping…
Expect many more JVs / mergers / acquisitions and re-
focusings – especially when it comes to monetizing AV
development for ADAS
• E.g. Volvo / Zenuity / Veoneer
A falling car market and static ADAS market will put severe
pressure on investment levels in 2020 and beyond
Big infrastructure investment (e.g. V2X) also now potentially
even more problematic
6
© 2020 Strategy Analytics
What about L2+ ?
So-called L2+ now seen as a path-to-market by many:
• Optimist’s view: Let’s make cars as safe and automated as possible under current legal frameworks
• Cynic’s view: We’ve spent all this money, how on earth are we going to get a return this side of 2030?
Remember:
• L2+ and now L2++ have no formal definition – marketed as a consumer convenience – consumers are not
familiar with SAE levels of autonomy
• In many cases it appears to be L3/L4-style technology (and hence cost), but with the driver still required to
supervise on a continuous basis
• Audi abandoned L3 Traffic Jam Pilot on its current A8 model.
• How many consumers will pay for this functionality? Subscription
• Older drivers are the least enthusiastic
7
© 2020 Strategy Analytics
Global adas demand $54B by 2026
• Best combination of
growth/size remains in
Distance Warning
• AEB is the key feature in that
category
• V2X forecast reduced in latest
update
• AFL = Adaptive Front Lighting
Source: AVS Strategy Analytics Apr 2020
8
© 2020 Strategy Analytics
What is a Realistic
autonomous deployment scenario ?
Source: AVS Strategy Analytics Nov 2019
Standard Scenario
9
© 2020 Strategy Analytics
Why is this important? What’s at stake?
Strategy Analytics expects very little volume of L4 until 2030+
• Our recent update has seen a delay to the uptake of L4
• Most research contacts now more pessimistic
L2 to expected to start to emerge in high volume soon
• The lack of a formal definition of L2+ makes it too
nebulous to forecast with accuracy at present
• However, it has the theoretical potential to run to tens
of millions of vehicles in 2030, and thus billions of
dollars of revenue for suppliers and automakers
Many automakers see adding automation options to their
vehicles as a vital way of recouping the very real cost of adding
on increasingly-mandated ADAS features
• Getting these automation features wrong will thus have
a measurable impact on profitability
Source: AVS Strategy Analytics Nov 2019
10
© 2020 Strategy Analytics
Sensors: ADAS and Autonomous
Driving Trends
11
© 2020 Strategy Analytics
Covid-19 impact on auto cameras
Standard view has all the gains from
increased camera penetration rates in
2020 wiped out by production falls
• Over 100M “lost” cameras from
2020 to 2026
Pessimistic view sees auto camera
volume demand fall by 5% over 2019
• Over 200M “lost” cameras
from 2020 to 2026
12
© 2020 Strategy Analytics
Euro NCAP Roadmap 2025
Country/Region NCAP/Mandate System 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026
European Union NCAP AEBS/Front Corner A. 5* Pedestrian
Bicycle Crossing, Junction & Head-On
European Union NCAP LDWS/Evasive Steer. 5* Lane Kp.Road Edge
Evasive Steering
European Union NCAP BSD
European Union NCAP Speed Alert-TSR
European Union NCAP Backup Camera AEBS Reversing
European Union NCAP DMS 5*
European Union NCAP Rear PCS/Whiplash
European Union Mandate AEBS New models All new vehicles
European Union Mandate Alcohol Interlock* New models All new vehicles
European Union Mandate Backup Camera New models All new vehicles
European Union Mandate DMS New models All new vehicles
European Union Mandate Event Data Recorder New models All new vehicles
European Union Mandate LKAS New models All new vehicles
European Union Mandate Speed Assist New models All new vehicles
European Union NCAP Child Presence Det.
European Union NCAP Pedestrian Protect. Enhanced
European Union NCAP V2X
• Initial DMS are systems that infer driver capability from movements of the host vehicle will be sufficient. Such inferred
systems sense vehicle movement from existing on-board sensors, such as accelerometers, steering angle sensors and front
windshield cameras.
• However, members of the UNECE safety committee believe that, by 2022, the test protocols from Euro-NCAP will be
tightened to include direct monitoring of the driver’s eyes and face movements – and thus could be beneficial for interior
camera-based DMS.
’Driver fatigue and distraction can be major factors in
accident causation and can be detected directly by
eye-monitoring sensors, for example, or indirectly by
identifying driving behaviors which are characteristic
of an impaired driver.’
13
© 2020 Strategy Analytics
Legislation & Mandates Drive ADAS
NCAP/Mandate System 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026
NHTSA/IIHS AEB 5* Recommended
NCAP FCW 5* Recommended
NCAP LDWS 5* Recommended
Mandate Backup Camera New models All new vehicles
Mandate Proposal Child Presence Det.
Mandate Proposal FCW
NHTSA Agreement AEB
NHTSA Agreement Child Presence Det.
March 2020 NTSB Recommendations:
• For vehicles equipped with Level 2 automation, work with SAE International to develop performance standards for driver
monitoring systems that will minimize driver disengagement, prevent automation complacency, and account for
foreseeable misuse of the automation.
• After developing the performance standards for driver monitoring systems recommended in Safety Recommendation H-
20-X, require that all new passenger vehicles with Level 2 automation be equipped with a driver monitoring system that
meets these standards.
14
© 2020 Strategy Analytics
Driver monitoring
Strategy Analytics sees the market following three generations:
1. Solutions on dedicated hardware – this is where we are now
2. Solutions that are effectively “software only”, and which are hosted on a shared ECU, e.g. ADAS domain
controller or cockpit domain controller
3. Transition from DMS to multi-seat occupant detection system (ODS), especially for AV / robo-taxi
applications
Conventional camera (2D monocular cameras, used in conjunction with NIR LEDs) remains the preferred approach.
ToF-based sensors remain niche for now (costly, bulky, lack of resolution vs. camera based solutions), as will RADAR
and other solutions.
For Gen 1 & Gen 2 the KEY task is driver monitoring
• Everything else (ID, emotion, health) is secondary. “Every OEM is asking for emotion analysis, but no-one
seems to know what they want to do with it” – EU-based algorithm vendor
15
© 2020 Strategy Analytics
Market development of optical DMS
Camera-based
solutions forecast
to deploy rapidly
starting now
Legislative /
NCAP interest
growing…
Forecast has thus
been significantly
boosted over
recent updates
Post-COVID-19
16
© 2020 Strategy Analytics
Automotive Architectures
17
© 2020 Strategy Analytics
Key change areas for vehicle architectures
Central ADAS Domain Controllers
Cockpit Domain Controllers
Gateway Modules (A stand-alone module that
links vehicle bus networks, e.g. low/hi-speed
CAN, FlexRay etc.), effectively acting as a router
and firewall for the vehicle.
“Full” centralization still appears very much
“next-gen” or beyond for mass-market vehicles.
Next-stage evolution will most likely be to
location-based controllers
•Reduce ~ 70 ECUs/modules
computers to three.
•Each powerful enough to handle
the processing necessary to run
its portion of the automobile
•Software largely developed in-
house - has proven to be difficult
•OTA updates
•Single electronic architecture
2019 Big
News -
Volkswagen's
goal:
Source: NXP
18
© 2020 Strategy Analytics
Current vehicle architectures
19
© 2020 Strategy Analytics
The Impact of Vehicle Architectures
Stage #1: domain controllers
Centralized architecture allows automakers to leverage advancements in processing, memory, software and
high bandwidth networking technologies to meet future ADAS and autonomous driving performance
requirements such as: reliability/fault tolerance, latency, redundancy, security, flexibility/updatability/OTA
updates and cost.
20
© 2020 Strategy Analytics
Location-based architecture
• Control centralized based on the location in the vehicle of the function, reducing cabling costs and weight
• Much more cross-partner integration required
21
© 2020 Strategy Analytics
To centralize or not?
Status quo
• Understood technology
• Lower risk, despite complexity
• Allows extra hardware cost to only be carried
when feature is present
• “Easy” / “Legacy” relationships with suppliers
• Less need for OEM to act as integrator
Centralize
• Cost-saving potential if most features to be
centralized are standard and there is little
“wasted” CPU/Memory
• Performance benefits – working with “raw”
data
• More flexibility on sourcing functions as they
increasingly become “software only”
• New OEMs have no legacy to worry about
22
© 2020 Strategy Analytics
Cockpit EE architecture trend and timeline
Distributed EE Architecture
(limited domain
consolidation, primarily via
CDCs)
Domain Controller Architecture
(number of CDCs increases,
despite large number of headunits
in market)
Location or zone-based EE
Architecture (select, premium
OEMs begin shift to zone-based
architecture)
Fully Centralized Processing Architecture
(future proposed architecture; unknown if
auto industry will actually embrace this
approach)
2020 -
2022
2023 – 2027
2027 –
203X
20XX?
23
© 2020 Strategy Analytics
Conclusions
Full impact of COVID-19 still far from certain– PLANNING FOR OVERALL VEHICLE SALES/PRODUCTION TO BE IN THE
ORDER OF 15% BELOW 2019 LEVELS SEEMS PRUDENT
ADAS will be hit less then many other application areas, as it is still a growth market in penetration terms – TOTAL ADAS
DEMAND IN 2020 LIKELY TO BE VERY SIMILAR TO 2019
For perception-related technologies, where will the revenue
be in the next 5 years? DMS and front facing cameras will see growth
COVID-19 is accelerating an already present industry trend that is seeing power shift away from traditional automotive
players – WHO SHOULD YOU PARTNER WITH?
AV timelines were already receding pre-COVID-19, and the crisis is only pushing launch dates further out (for most) – BIG
POTENTIAL WINS FOR THE BRAVE AND WELL-FUNDED
The key decision points for NOW are: DO I JUST NEED TO SURVIVE ? …or…
CAN I TAKE ADVANTAGE OF OTHERS’ WEAKNESS?
24
© 2020 Strategy Analytics
Questions and Answers
25
© 2020 Strategy Analytics
Resource Slide
26
Freely-available Information
Blogs
https://www.strategyanalytics.com/strategy-
analytics/blogs/automotive/autonomous-vehicles
https://www.strategyanalytics.com/strategy-
analytics/blogs/automotive/in-vehicle-ux
Complimentary Research
https://www.strategyanalytics.com/access-
services/automotive/autonomous-vehicles/complimentary
https://www.strategyanalytics.com/access-
services/automotive/in-vehicle-ux/complimentary
Paid-for Content
ADAS/Autonomous Forecasts & Databases
https://www.strategyanalytics.com/access-
services/automotive/autonomous-vehicles/market-data
ADAS/Autonomous Written Analysis
https://www.strategyanalytics.com/access-
services/automotive/autonomous-vehicles/reports
In-Vehicle UX Reports & Analysis
https://www.strategyanalytics.com/access-
services/automotive/in-vehicle-ux/reports

More Related Content

PDF
Everything about Internet of Things
PDF
Intermediate: Vehicle to Everything (V2X) Introduction
PPTX
JOSHUA SEMINAR FINAL (ADAS) (4) (2).pptx
PPTX
Autonomous car
PPTX
Indoor positioning system
PPT
5g ppt new
PDF
Sensors and Data Management for Autonomous Vehicles report 2015 by Yole Devel...
PDF
Software Defined Radio
Everything about Internet of Things
Intermediate: Vehicle to Everything (V2X) Introduction
JOSHUA SEMINAR FINAL (ADAS) (4) (2).pptx
Autonomous car
Indoor positioning system
5g ppt new
Sensors and Data Management for Autonomous Vehicles report 2015 by Yole Devel...
Software Defined Radio

What's hot (20)

PPSX
Automotive RADAR Adoption—An Overview
PDF
What's in the future of 5G millimeter wave?
PDF
Edge intelligence
PPT
Telematics for Fleet Management
PPTX
Mobile communication
PPTX
Autonomous vehicles
PDF
V2X Communications: Getting our Cars Talking
PPSX
Connected cars - Internet of Things Mumbai (IoTMUM)
PPT
Inter vehicle communication
PPTX
The Internet of Cars - Towards the Future of the Connected Car
PPTX
Rfid technology
PDF
IRJET- Railway Track Crack and Obstacle Detection using Arduino
PPTX
Presentation on Femtocell technology
PPTX
Vehicle tracking by gps gsm
PPTX
Self driving car
PPTX
IoT services in the automotive sector
PDF
1. Introduction to Embedded Systems & IoT
PDF
"AI Is Moving to the Edge—What’s the Impact on the Semiconductor Industry?," ...
PPTX
Value for a Connected Vehicle (IoT)
PPTX
gsm based Voting system
Automotive RADAR Adoption—An Overview
What's in the future of 5G millimeter wave?
Edge intelligence
Telematics for Fleet Management
Mobile communication
Autonomous vehicles
V2X Communications: Getting our Cars Talking
Connected cars - Internet of Things Mumbai (IoTMUM)
Inter vehicle communication
The Internet of Cars - Towards the Future of the Connected Car
Rfid technology
IRJET- Railway Track Crack and Obstacle Detection using Arduino
Presentation on Femtocell technology
Vehicle tracking by gps gsm
Self driving car
IoT services in the automotive sector
1. Introduction to Embedded Systems & IoT
"AI Is Moving to the Edge—What’s the Impact on the Semiconductor Industry?," ...
Value for a Connected Vehicle (IoT)
gsm based Voting system
Ad

Similar to “Embedded Vision in ADAS and Autonomous Vehicles: Navigating the New Reality,” a Presentation from Strategy Analytics (20)

PDF
TRENDS IN AUTONOMOUS VEHICLES AND MARKET DEPLOYMENT
PDF
"Automotive Vision Systems— Seeing the Way Forward," a Presentation from Stra...
PPTX
Swiss Re - Insurer Innovation Award 2022
PDF
MD64 - SbW.PDF steer by wire maket study
PDF
2016 CRC Stock Pitch Competition - Finalist
PDF
"Shifts in the Automated Driving Industry," a Presentation from AImotive
PPTX
Cleveland Research Company Stock Pitch Competition Finalist Presentation
PDF
Key trends of smart transportation
PDF
A three-step strategy for contract manufacturers to capitalize on soaring aut...
PDF
“The Automotive Driver Monitoring Market: What’s Happening? Why? What’s the O...
PPTX
PROGRESS OF AUTOSAR STANDARDS FOR FUTURE INTELLIGENT VEHICLES
PDF
Connected Vehicle Business Proposal - Pitkraft
PDF
Open Source Automotive Development
PDF
Maxim auto business update final
PDF
Autonomous Vehicles: Technologies, Economics, and Opportunities
PPTX
Connected Car Investment Thesis
PDF
MEMS and Sensors for Automotive 2017 Report by Yole Developpement
PDF
Automotive Semiconductor Trends 2021
PDF
Mobileye Project
PPTX
Swiss Re - Insurer Innovation Award 2022
TRENDS IN AUTONOMOUS VEHICLES AND MARKET DEPLOYMENT
"Automotive Vision Systems— Seeing the Way Forward," a Presentation from Stra...
Swiss Re - Insurer Innovation Award 2022
MD64 - SbW.PDF steer by wire maket study
2016 CRC Stock Pitch Competition - Finalist
"Shifts in the Automated Driving Industry," a Presentation from AImotive
Cleveland Research Company Stock Pitch Competition Finalist Presentation
Key trends of smart transportation
A three-step strategy for contract manufacturers to capitalize on soaring aut...
“The Automotive Driver Monitoring Market: What’s Happening? Why? What’s the O...
PROGRESS OF AUTOSAR STANDARDS FOR FUTURE INTELLIGENT VEHICLES
Connected Vehicle Business Proposal - Pitkraft
Open Source Automotive Development
Maxim auto business update final
Autonomous Vehicles: Technologies, Economics, and Opportunities
Connected Car Investment Thesis
MEMS and Sensors for Automotive 2017 Report by Yole Developpement
Automotive Semiconductor Trends 2021
Mobileye Project
Swiss Re - Insurer Innovation Award 2022
Ad

More from Edge AI and Vision Alliance (20)

PDF
“The New OpenCV 5.0: Added Features, Performance Improvements and Future Dire...
PDF
“Introduction to Shrinking Models with Quantization-aware Training and Post-t...
PDF
“Customizing Vision-language Models for Real-world Applications,” a Presentat...
PDF
“An Introduction to the MIPI CSI-2 Image Sensor Standard and Its Latest Advan...
PDF
“Visual Search: Fine-grained Recognition with Embedding Models for the Edge,”...
PDF
“Optimizing Real-time SLAM Performance for Autonomous Robots with GPU Acceler...
PDF
“LLMs and VLMs for Regulatory Compliance, Quality Control and Safety Applicat...
PDF
“Simplifying Portable Computer Vision with OpenVX 2.0,” a Presentation from AMD
PDF
“Quantization Techniques for Efficient Deployment of Large Language Models: A...
PDF
“Introduction to Data Types for AI: Trade-offs and Trends,” a Presentation fr...
PDF
“Introduction to Radar and Its Use for Machine Perception,” a Presentation fr...
PDF
“NPU IP Hardware Shaped Through Software and Use-case Analysis,” a Presentati...
PDF
“Voice Interfaces on a Budget: Building Real-time Speech Recognition on Low-c...
PDF
“Computer Vision at Sea: Automated Fish Tracking for Sustainable Fishing,” a ...
PDF
“Squinting Vision Pipelines: Detecting and Correcting Errors in Vision Models...
PDF
“ONNX and Python to C++: State-of-the-art Graph Compilation,” a Presentation ...
PDF
“Beyond the Demo: Turning Computer Vision Prototypes into Scalable, Cost-effe...
PDF
“Running Accelerated CNNs on Low-power Microcontrollers Using Arm Ethos-U55, ...
PDF
“Scaling i.MX Applications Processors’ Native Edge AI with Discrete AI Accele...
PDF
“A Re-imagination of Embedded Vision System Design,” a Presentation from Imag...
“The New OpenCV 5.0: Added Features, Performance Improvements and Future Dire...
“Introduction to Shrinking Models with Quantization-aware Training and Post-t...
“Customizing Vision-language Models for Real-world Applications,” a Presentat...
“An Introduction to the MIPI CSI-2 Image Sensor Standard and Its Latest Advan...
“Visual Search: Fine-grained Recognition with Embedding Models for the Edge,”...
“Optimizing Real-time SLAM Performance for Autonomous Robots with GPU Acceler...
“LLMs and VLMs for Regulatory Compliance, Quality Control and Safety Applicat...
“Simplifying Portable Computer Vision with OpenVX 2.0,” a Presentation from AMD
“Quantization Techniques for Efficient Deployment of Large Language Models: A...
“Introduction to Data Types for AI: Trade-offs and Trends,” a Presentation fr...
“Introduction to Radar and Its Use for Machine Perception,” a Presentation fr...
“NPU IP Hardware Shaped Through Software and Use-case Analysis,” a Presentati...
“Voice Interfaces on a Budget: Building Real-time Speech Recognition on Low-c...
“Computer Vision at Sea: Automated Fish Tracking for Sustainable Fishing,” a ...
“Squinting Vision Pipelines: Detecting and Correcting Errors in Vision Models...
“ONNX and Python to C++: State-of-the-art Graph Compilation,” a Presentation ...
“Beyond the Demo: Turning Computer Vision Prototypes into Scalable, Cost-effe...
“Running Accelerated CNNs on Low-power Microcontrollers Using Arm Ethos-U55, ...
“Scaling i.MX Applications Processors’ Native Edge AI with Discrete AI Accele...
“A Re-imagination of Embedded Vision System Design,” a Presentation from Imag...

Recently uploaded (20)

PDF
DASA ADMISSION 2024_FirstRound_FirstRank_LastRank.pdf
PDF
Getting Started with Data Integration: FME Form 101
PDF
How ambidextrous entrepreneurial leaders react to the artificial intelligence...
PPT
Module 1.ppt Iot fundamentals and Architecture
PDF
Hybrid model detection and classification of lung cancer
PDF
Microsoft Solutions Partner Drive Digital Transformation with D365.pdf
PPTX
TLE Review Electricity (Electricity).pptx
PPTX
Tartificialntelligence_presentation.pptx
PPTX
Modernising the Digital Integration Hub
PPTX
OMC Textile Division Presentation 2021.pptx
PPTX
MicrosoftCybserSecurityReferenceArchitecture-April-2025.pptx
PPTX
Group 1 Presentation -Planning and Decision Making .pptx
PDF
A contest of sentiment analysis: k-nearest neighbor versus neural network
PPTX
The various Industrial Revolutions .pptx
PDF
WOOl fibre morphology and structure.pdf for textiles
PDF
From MVP to Full-Scale Product A Startup’s Software Journey.pdf
PDF
TrustArc Webinar - Click, Consent, Trust: Winning the Privacy Game
PPTX
TechTalks-8-2019-Service-Management-ITIL-Refresh-ITIL-4-Framework-Supports-Ou...
PDF
Zenith AI: Advanced Artificial Intelligence
PDF
2021 HotChips TSMC Packaging Technologies for Chiplets and 3D_0819 publish_pu...
DASA ADMISSION 2024_FirstRound_FirstRank_LastRank.pdf
Getting Started with Data Integration: FME Form 101
How ambidextrous entrepreneurial leaders react to the artificial intelligence...
Module 1.ppt Iot fundamentals and Architecture
Hybrid model detection and classification of lung cancer
Microsoft Solutions Partner Drive Digital Transformation with D365.pdf
TLE Review Electricity (Electricity).pptx
Tartificialntelligence_presentation.pptx
Modernising the Digital Integration Hub
OMC Textile Division Presentation 2021.pptx
MicrosoftCybserSecurityReferenceArchitecture-April-2025.pptx
Group 1 Presentation -Planning and Decision Making .pptx
A contest of sentiment analysis: k-nearest neighbor versus neural network
The various Industrial Revolutions .pptx
WOOl fibre morphology and structure.pdf for textiles
From MVP to Full-Scale Product A Startup’s Software Journey.pdf
TrustArc Webinar - Click, Consent, Trust: Winning the Privacy Game
TechTalks-8-2019-Service-Management-ITIL-Refresh-ITIL-4-Framework-Supports-Ou...
Zenith AI: Advanced Artificial Intelligence
2021 HotChips TSMC Packaging Technologies for Chiplets and 3D_0819 publish_pu...

“Embedded Vision in ADAS and Autonomous Vehicles: Navigating the New Reality,” a Presentation from Strategy Analytics

  • 1. © 2020 Strategy Analytics The Road from ADAS to Autonomous Vehicles: Navigating the New Reality Mark Fitzgerald Director, Autonomous Vehicles
  • 2. © 2020 Strategy Analytics Agenda • One Page Strategy Analytics Overview • What is happening in ADAS and Autonomous Driving? • Sensors: ADAS and Autonomous Driving Trends • Automotive Architectures • Q&A 2
  • 3. © 2020 Strategy Analytics Strategy Analytics Overview 3
  • 4. © 2020 Strategy Analytics Strategy Analytics Overview • 12-month syndicated subscription services on specific industries and/or technologies • Custom Consulting on Companies, Brands, Products, and Technologies • Market Intelligence on Buyer Behaviors, Consumer Attitudes, Brand Preferences, and Emerging Behaviors • Design Guidance and Competitive Intelligence on User Experiences and Opportunities for Innovation • Intelligence on Consumer Activities, Behavioral Patterns, and Usage Profiles through Big Data Analytics 4
  • 5. © 2020 Strategy Analytics What is Happening in ADAS and Autonomous Driving? 5
  • 6. © 2020 Strategy Analytics AV ecosystem Strong signs of “reality” breaking out at many companies; COVID-19 not helping… Expect many more JVs / mergers / acquisitions and re- focusings – especially when it comes to monetizing AV development for ADAS • E.g. Volvo / Zenuity / Veoneer A falling car market and static ADAS market will put severe pressure on investment levels in 2020 and beyond Big infrastructure investment (e.g. V2X) also now potentially even more problematic 6
  • 7. © 2020 Strategy Analytics What about L2+ ? So-called L2+ now seen as a path-to-market by many: • Optimist’s view: Let’s make cars as safe and automated as possible under current legal frameworks • Cynic’s view: We’ve spent all this money, how on earth are we going to get a return this side of 2030? Remember: • L2+ and now L2++ have no formal definition – marketed as a consumer convenience – consumers are not familiar with SAE levels of autonomy • In many cases it appears to be L3/L4-style technology (and hence cost), but with the driver still required to supervise on a continuous basis • Audi abandoned L3 Traffic Jam Pilot on its current A8 model. • How many consumers will pay for this functionality? Subscription • Older drivers are the least enthusiastic 7
  • 8. © 2020 Strategy Analytics Global adas demand $54B by 2026 • Best combination of growth/size remains in Distance Warning • AEB is the key feature in that category • V2X forecast reduced in latest update • AFL = Adaptive Front Lighting Source: AVS Strategy Analytics Apr 2020 8
  • 9. © 2020 Strategy Analytics What is a Realistic autonomous deployment scenario ? Source: AVS Strategy Analytics Nov 2019 Standard Scenario 9
  • 10. © 2020 Strategy Analytics Why is this important? What’s at stake? Strategy Analytics expects very little volume of L4 until 2030+ • Our recent update has seen a delay to the uptake of L4 • Most research contacts now more pessimistic L2 to expected to start to emerge in high volume soon • The lack of a formal definition of L2+ makes it too nebulous to forecast with accuracy at present • However, it has the theoretical potential to run to tens of millions of vehicles in 2030, and thus billions of dollars of revenue for suppliers and automakers Many automakers see adding automation options to their vehicles as a vital way of recouping the very real cost of adding on increasingly-mandated ADAS features • Getting these automation features wrong will thus have a measurable impact on profitability Source: AVS Strategy Analytics Nov 2019 10
  • 11. © 2020 Strategy Analytics Sensors: ADAS and Autonomous Driving Trends 11
  • 12. © 2020 Strategy Analytics Covid-19 impact on auto cameras Standard view has all the gains from increased camera penetration rates in 2020 wiped out by production falls • Over 100M “lost” cameras from 2020 to 2026 Pessimistic view sees auto camera volume demand fall by 5% over 2019 • Over 200M “lost” cameras from 2020 to 2026 12
  • 13. © 2020 Strategy Analytics Euro NCAP Roadmap 2025 Country/Region NCAP/Mandate System 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 European Union NCAP AEBS/Front Corner A. 5* Pedestrian Bicycle Crossing, Junction & Head-On European Union NCAP LDWS/Evasive Steer. 5* Lane Kp.Road Edge Evasive Steering European Union NCAP BSD European Union NCAP Speed Alert-TSR European Union NCAP Backup Camera AEBS Reversing European Union NCAP DMS 5* European Union NCAP Rear PCS/Whiplash European Union Mandate AEBS New models All new vehicles European Union Mandate Alcohol Interlock* New models All new vehicles European Union Mandate Backup Camera New models All new vehicles European Union Mandate DMS New models All new vehicles European Union Mandate Event Data Recorder New models All new vehicles European Union Mandate LKAS New models All new vehicles European Union Mandate Speed Assist New models All new vehicles European Union NCAP Child Presence Det. European Union NCAP Pedestrian Protect. Enhanced European Union NCAP V2X • Initial DMS are systems that infer driver capability from movements of the host vehicle will be sufficient. Such inferred systems sense vehicle movement from existing on-board sensors, such as accelerometers, steering angle sensors and front windshield cameras. • However, members of the UNECE safety committee believe that, by 2022, the test protocols from Euro-NCAP will be tightened to include direct monitoring of the driver’s eyes and face movements – and thus could be beneficial for interior camera-based DMS. ’Driver fatigue and distraction can be major factors in accident causation and can be detected directly by eye-monitoring sensors, for example, or indirectly by identifying driving behaviors which are characteristic of an impaired driver.’ 13
  • 14. © 2020 Strategy Analytics Legislation & Mandates Drive ADAS NCAP/Mandate System 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 NHTSA/IIHS AEB 5* Recommended NCAP FCW 5* Recommended NCAP LDWS 5* Recommended Mandate Backup Camera New models All new vehicles Mandate Proposal Child Presence Det. Mandate Proposal FCW NHTSA Agreement AEB NHTSA Agreement Child Presence Det. March 2020 NTSB Recommendations: • For vehicles equipped with Level 2 automation, work with SAE International to develop performance standards for driver monitoring systems that will minimize driver disengagement, prevent automation complacency, and account for foreseeable misuse of the automation. • After developing the performance standards for driver monitoring systems recommended in Safety Recommendation H- 20-X, require that all new passenger vehicles with Level 2 automation be equipped with a driver monitoring system that meets these standards. 14
  • 15. © 2020 Strategy Analytics Driver monitoring Strategy Analytics sees the market following three generations: 1. Solutions on dedicated hardware – this is where we are now 2. Solutions that are effectively “software only”, and which are hosted on a shared ECU, e.g. ADAS domain controller or cockpit domain controller 3. Transition from DMS to multi-seat occupant detection system (ODS), especially for AV / robo-taxi applications Conventional camera (2D monocular cameras, used in conjunction with NIR LEDs) remains the preferred approach. ToF-based sensors remain niche for now (costly, bulky, lack of resolution vs. camera based solutions), as will RADAR and other solutions. For Gen 1 & Gen 2 the KEY task is driver monitoring • Everything else (ID, emotion, health) is secondary. “Every OEM is asking for emotion analysis, but no-one seems to know what they want to do with it” – EU-based algorithm vendor 15
  • 16. © 2020 Strategy Analytics Market development of optical DMS Camera-based solutions forecast to deploy rapidly starting now Legislative / NCAP interest growing… Forecast has thus been significantly boosted over recent updates Post-COVID-19 16
  • 17. © 2020 Strategy Analytics Automotive Architectures 17
  • 18. © 2020 Strategy Analytics Key change areas for vehicle architectures Central ADAS Domain Controllers Cockpit Domain Controllers Gateway Modules (A stand-alone module that links vehicle bus networks, e.g. low/hi-speed CAN, FlexRay etc.), effectively acting as a router and firewall for the vehicle. “Full” centralization still appears very much “next-gen” or beyond for mass-market vehicles. Next-stage evolution will most likely be to location-based controllers •Reduce ~ 70 ECUs/modules computers to three. •Each powerful enough to handle the processing necessary to run its portion of the automobile •Software largely developed in- house - has proven to be difficult •OTA updates •Single electronic architecture 2019 Big News - Volkswagen's goal: Source: NXP 18
  • 19. © 2020 Strategy Analytics Current vehicle architectures 19
  • 20. © 2020 Strategy Analytics The Impact of Vehicle Architectures Stage #1: domain controllers Centralized architecture allows automakers to leverage advancements in processing, memory, software and high bandwidth networking technologies to meet future ADAS and autonomous driving performance requirements such as: reliability/fault tolerance, latency, redundancy, security, flexibility/updatability/OTA updates and cost. 20
  • 21. © 2020 Strategy Analytics Location-based architecture • Control centralized based on the location in the vehicle of the function, reducing cabling costs and weight • Much more cross-partner integration required 21
  • 22. © 2020 Strategy Analytics To centralize or not? Status quo • Understood technology • Lower risk, despite complexity • Allows extra hardware cost to only be carried when feature is present • “Easy” / “Legacy” relationships with suppliers • Less need for OEM to act as integrator Centralize • Cost-saving potential if most features to be centralized are standard and there is little “wasted” CPU/Memory • Performance benefits – working with “raw” data • More flexibility on sourcing functions as they increasingly become “software only” • New OEMs have no legacy to worry about 22
  • 23. © 2020 Strategy Analytics Cockpit EE architecture trend and timeline Distributed EE Architecture (limited domain consolidation, primarily via CDCs) Domain Controller Architecture (number of CDCs increases, despite large number of headunits in market) Location or zone-based EE Architecture (select, premium OEMs begin shift to zone-based architecture) Fully Centralized Processing Architecture (future proposed architecture; unknown if auto industry will actually embrace this approach) 2020 - 2022 2023 – 2027 2027 – 203X 20XX? 23
  • 24. © 2020 Strategy Analytics Conclusions Full impact of COVID-19 still far from certain– PLANNING FOR OVERALL VEHICLE SALES/PRODUCTION TO BE IN THE ORDER OF 15% BELOW 2019 LEVELS SEEMS PRUDENT ADAS will be hit less then many other application areas, as it is still a growth market in penetration terms – TOTAL ADAS DEMAND IN 2020 LIKELY TO BE VERY SIMILAR TO 2019 For perception-related technologies, where will the revenue be in the next 5 years? DMS and front facing cameras will see growth COVID-19 is accelerating an already present industry trend that is seeing power shift away from traditional automotive players – WHO SHOULD YOU PARTNER WITH? AV timelines were already receding pre-COVID-19, and the crisis is only pushing launch dates further out (for most) – BIG POTENTIAL WINS FOR THE BRAVE AND WELL-FUNDED The key decision points for NOW are: DO I JUST NEED TO SURVIVE ? …or… CAN I TAKE ADVANTAGE OF OTHERS’ WEAKNESS? 24
  • 25. © 2020 Strategy Analytics Questions and Answers 25
  • 26. © 2020 Strategy Analytics Resource Slide 26 Freely-available Information Blogs https://www.strategyanalytics.com/strategy- analytics/blogs/automotive/autonomous-vehicles https://www.strategyanalytics.com/strategy- analytics/blogs/automotive/in-vehicle-ux Complimentary Research https://www.strategyanalytics.com/access- services/automotive/autonomous-vehicles/complimentary https://www.strategyanalytics.com/access- services/automotive/in-vehicle-ux/complimentary Paid-for Content ADAS/Autonomous Forecasts & Databases https://www.strategyanalytics.com/access- services/automotive/autonomous-vehicles/market-data ADAS/Autonomous Written Analysis https://www.strategyanalytics.com/access- services/automotive/autonomous-vehicles/reports In-Vehicle UX Reports & Analysis https://www.strategyanalytics.com/access- services/automotive/in-vehicle-ux/reports