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2022年汽车计算和人工智能技术(英) 2022.pdf
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2022年汽车计算和人工智能技术(英) 2022.pdf
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From Technologies to Markets
© 2022
From Technologies to MarketsFrom Technologies to Markets
Computing and AI
Technologies for
Automotive 2022
Market and Technology
Product Brochure
22
Contact us
for more information
Computing and AI Technologies for Automotive | Product Brochure | www.yole.fr | ©2022
TABLE OF CONTENTS
(1/2)
• Glossary
• Definitions
• Table of contents
• About the author
• Companies cited in this report
• What we got right, what we got wrong
• Report scope, objectives and methodology
• Who should be interested in this report
• Yole group of companies related reports
• 3-Pages summary
• Executive summary
• Context
o Automotive & mobility macro trends
o Semiconductor shortage
• Market forecasts
o Automotive market (segmentation, volume, region, autonomy)
o Automotive ADAS car architecture evolution
o Automotive imaging ADAS processors volume (by sensors, by technology)
o Automotive imaging ADAS processors ASPs
o Automotive imaging ADAS processors revenue (by sensors, by technology)
o Automotive radar ADAS processors (volume, ASP, revenue)
o Automotive LiDAR ADAS processors (volume, ASP, revenue)
o Automotive ADAS processors (by application, sensors)
o Automotive infotainment processors forecast (volume, ASP, revenue)
• Market trends
o From ADAS to AD
o Function evolution
o Safety incentive
o Sensor evolution: imaging, radar, LiDAR
o In-cabin sensing and computing
o Driver monitoring systems
o Occupant monitoring systems
o Gesture recognition
o Viewing, infotainment and software
o Viewing
o Smart assistant integration
• Technology trends
o Car architecture
o E/E architecture and computing
o Data fusion for automated driving
o Processors for ADAS & AD and in-cabin sensing
o Processors for ADAS and AD description (systems, ASPs,
technologies specification)
o Main systems teardown (front cameras, imaging ECUs, central
platform, radar, LiDAR)
o Technology segmentation
o Main players technology overview
33
Contact us
for more information
Computing and AI Technologies for Automotive | Product Brochure | www.yole.fr | ©2022
TABLE OF CONTENTS
(2/2)
o Software for autonomy
o Autonomy pipeline
o Data fusion
o CV vs AI
o Processors for infotainment
o Centralization
o Main computing drivers (pixel stream, number of cameras
supported, etc.)
o Processors for infotainment description (systems, teardowns, ASPs,
technologies specification)
o Main players technology overview
o Neuromorphic computing as the next trend?
• Ecosystem, market, shares & supply chain
o Automotive market
o Automotive industry noteworthy news of the Last 2 years
o Automotive landscape – main players (volume, revenue)
o Disruptive OEMs vs traditional OEMs
o Will OEM make their own chips?
o Different automotive strategies
o Player strategies
o ADAS to AD
o Autonomous automotive general landscape
o What is happening in China
o AI ecosystem for automotive
o Main players’ landscape and market shares for imaging and radar
o Main players’ landscape for centralized platforms, DMS, LiDAR
o Imaging supply chain
o What about the robotic AV ecosystem?
o Infotainment and software
o Main players’ landscape and market share for infotainment
o Main strategies overview
o Software automotive trends
• Conclusion
• Appendix – artificial intelligence and beyond
• Appendix – processor definitions
• How to use our data?
• Appendix – Yole Développement
4
Adrien Sanchez
As a Technology & Market Analyst, Adrien Sanchez works in the Computing & Software business unit at Yole Développement (Yole), part of the Yole
Group of Companies. In collaboration with his team, Adrien produces technology & market analyses covering computing hardware and software, AI,
machine learning, and neural networks. Prior to Yole, he worked as an intern at AW Europe (Belgium), where he focused on image recognition &
comprehension for ADAS. Adrien also worked at ACOEM (France), focusing on real-time sound classification using deep learning and edge computing.
Adrien graduated with a double degree from Grenoble Institute of Technology PHELMA (Grenoble INP Phelma, France) and Grenoble Ecole de
Management (GEM, France), and he earned an MSc in AI at Heriot-Watt University (Edinburgh, UK).
Computing and AI Technologies for Automotive | Product Brochure | www.yole.fr | ©2022
ABOUT THE AUTHOR
Biography & contact
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