China Autonomous Driving Domain Controller Research Report 2023: Advancements Towards L2++ and L2+++ Mass Production - ResearchAndMarkets.com

DUBLIN--(BUSINESS WIRE)--The "China Autonomous Driving Domain Controller Research Report, 2023" report has been added to ResearchAndMarkets.com's offering.

Autonomous driving domain controller research: explore computing power distribution and evolution strategies for driving-parking integrated domain controllers.

In China, at this stage the industry is concentrating efforts on mass production and application of L2++ or L2+++ autonomous driving that is infinitely close to L3.

In this process, various new solutions mushroom, including new technologies (BEV perception, data closed loop, etc.), new functions (urban NOA, highway NOA, home zone parking pilot (HPP), valet parking, etc.), new architectures (domain centralized EEA, cross-domain fusion EEA, etc.), new sensors (4D imaging radar, LiDAR, etc.), new chips (high-compute chip integrated BEV framework, etc.), new communication protocols, and new development concept (SOTIF).

By 2026, the sales of passenger cars equipped with OEM L2++ (supporting highway NOA and driving-parking integration) are expected to reach 6.236 million units; the sales of passenger cars with OEM L2+++ (supporting urban NOA + AVP) are expected to reach 1.833 million units.

The autonomous driving development path is becoming clear, and the industry heads in the direction of "cost reduction" and "efficiency improvement".

The development path of autonomous driving system tends to be clear, and "cost reduction" and "efficiency improvement" have been a megatrend for the industry. By Black Sesame's estimate, the BOM cost of domain controllers can be controlled within RMB3,000 in the case of 10V (camera) NOA function, supporting 50-100T physical computing power; in addition, by 2024, the cost of a complete 100TOPS NOA solution (domain controller and chip + HD map and positioning module + system integration and development + test and verification, based on BEV algorithms and without LiDAR) is expected to drop significantly to less than RMB7,000 from the current RMB15,000.

The computing power distribution and evolution strategies for driving-parking integrated domain controllers have become clear, highlighting the following solutions:

Entry-level L2/L2+: many vehicle models have already packed L2 driving assistance functions, and most of them use intelligent front-view all-on-ones such as 1R1V/3R1V solution, with low mass production costs, and the average computing power of platforms lower than 5 TOPS; L2 often adopts chips with low-to-medium computing power, such as Horizon Robotics J2/J3, Ambarella CV Series, Mobileye EyeQ3/4 and EyeQ6L upgrade version, TI TDA4VL, and Renesas R-CAR V3H.

L2++: in 2023, lightweight driving-parking integration and highway NOA are the key functions spawned by major OEMs, most of which use 5R5V or 5R6V configuration scheme coupled with high precision positioning and HD map modules, to realize end-to-end highway NOA, HPP and other functions. Such systems mostly use 1-3 cost-effective SoCs and 5-20TOPS domain controller platforms. Moreover, to further reduce the cost, single-chip driving-parking integrated domain controllers are becoming a trend.

L2++ Pro: with lower chip costs, lightweight driving-parking integrated domain controllers tend to offer higher computing power of 30-70 TOPS, and can run 6V, 7V, 9V, 10V and 11V perception solutions to enable more powerful vision algorithms; at the chip level, the evolution route has been presented, for example, new products like TI TDA4VH, black sesame A1000, Renesas R-Car V4H, and EyeQ6H are scheduled to start volume production and be installed in vehicles during 2023-2024.

L2+++: the key functions of high performance driving-parking integration and urban NOA are infinitely close to L3. Based on BEV perception algorithms, the urban NOA allows for "getting rid of HD map", and can carry 1-3 LiDARs or 4D imaging radar and >100TOPS computing platforms. At the chip level, chip vendors design high-compute chip architectures actively compatible with BEV perception algorithms and deliver their BEV algorithm framework to customers.

L3/L4: mainly used in Robotaxies at present. It is expected that in 2023 China will release the L3 autonomous driving standards. It will still take a very long time from draft and final draft release to system R&D, and then to SOP and deployment.

Key Topics Covered:

1 Summary on Autonomous Driving Domain Controllers and Solutions of OEMs

1.1 Evolution of Electrical and Electronic Architecture (EEA) of OEMs

1.1.1 Four Dimensions of Automotive EEA Upgrade: Software Architecture, Hardware Architecture, Communication Architecture, and Power Supply Architecture

1.1.2 Domain Integrated Platform and Vehicle Computing Platform in the Evolution of Automotive EEA

1.1.3 Evolution Trend of Automotive EEA in the Next Decade

1.2 Autonomous Driving Domain Controllers and System Solutions of OEMs

1.2.1 Configurations of Autonomous Driving Domain Controllers and System Solutions of OEMs (Incl. Ongoing R&D Projects)

2 Summary on Autonomous Driving Domain Controllers and Solutions of Tier 1 Suppliers

2.1 Development Directions of Driving-parking Integrated Domain Controllers

2.1.1 Development Directions: Distribution and Evolution Scheme of Computing Power of Driving-parking Integrated Domain Controllers

2.1.2 Development Directions: City NOA, "More Weight on Perception, Less Weight on Maps" to Be Applied on Large Scale

2.2 Entry-level L2/L2+ Front View Integrated Solutions

2.2.1 Definition of Entry-level L2/L2+ Front View Integration: Basic Configurations - 1V / 1V1R/ 1V3R / 1V5R

2.2.2 Entry-level L2/L2+ Front View Integrated Solutions: Horizon J3

2.2.3 Entry-level L2/L2+ Front View Integrated Solutions: EyeQ6L

2.3 Lightweight Driving-parking Integrated Domain Control Solutions (L2++)

2.4 High-performance Driving-parking Integrated Domain Control Solutions (L2+++)

2.5 Cockpit-driving Integrated Domain Control Solutions

2.6 Summary on Autonomous Driving Domain Controllers and Solutions of Tier 1 Suppliers

3 Research on Key Points of Autonomous Driving Domain Controllers

3.1 China Passenger Car Autonomous Driving Domain Controller Market

3.1.1 Forecast for Installation Rate of L1/L2/L2+/L2++/L2+++/L3-L4 (Robotaxi) Autonomous Driving Systems in Passenger Cars in China

3.1.2 Attached Datasheet: Forecast for Installation Rate of L1/L2/L2+/L2++/L2+++/L3-L4 (Robotaxi) Autonomous Driving Systems in Passenger Cars in China

3.1.3 China's Passenger Car Autonomous Driving Domain Controller Shipments (10,000 Units), 2022-2026E

3.1.4 Estimated Supply of China's Passenger Car Autonomous Driving Domain Controller Suppliers, 2022

3.1.5 China's Passenger Car Autonomous Driving Domain Controller Market Size (RMB100 Million), 2022-2026E

3.1.6 Analysis of Autonomous Driving Domain Controller Cost in China: Prices and Target Markets of Products with Different Positions

3.1.7 Single-chip Driving-parking Integrated Solutions Help Automakers Further Lower Costs

3.2 Autonomous Driving Domain Control SoC Solutions

3.2.1 Faster Chip Localization

3.2.2 Cockpit-parking Integrated Processor of SemiDrive: X9U

3.2.3 Intelligent Driving Processor of SemiDrive: V9P, L2+ Single-chip Driving-parking Integration

3.2.4 SemiDrive Central Computing Architecture 2.0 (SCCA 2.0)

3.2.5 Smart BEV Technology Framework of Black Sesame (1)

3.2.6 Smart BEV Technology Framework of Black Sesame (2)

3.2.7 Black Sesame's Wudang Series C1200 Intelligent Vehicle Cross-domain Computing Chip Platforms

3.2.8 BEV Space-time Fusion Architecture on Journey J5

3.2.9 Chinese Autonomous Driving SoCs: Horizon Robotics

3.3 Design/Production Business Models for Domain Controllers

3.3.1 Three Development Cooperation Models for Domain Controllers: White Box, Gray Box, and Black Box

3.3.2 Five Production Business Models for Domain Controllers

3.4 Domain Controller EMS Model

4 Chinese Domain Controller Vendors

4.1 Neusoft Reach

4.2 Desay SV

4.3 iMotion

4.4 Freetech

4.5 Hong Jing Drive

4.6 Technomous

4.7 Haomo.ai

4.8 Motovis

4.9 Huawei

4.10 HoloMatic

4.11 MINIEYE

4.12 MAXIEYE

4.13 ZongMu Technology

4.14 Baidu

4.15 Joynext

4.16 NavInfo

4.17 ECARX

4.18 Pony.ai

4.19 Z-ONE Tech

4.20 Yihang.ai

4.21 Jingwei Hirain

4.22 Idriverplus

4.23 DJI Automotive

4.24 EnjoyMove Technology

4.25 Novauto

4.26 G-Pulse (Intron)

4.27 CICTCI

4.28 ThunderX (ThunderSoft)

4.29 Foryou Group

4.30 Lan-You Technolog

4.31 Nullmax

4.32 Unlimited AI

5 Foreign Domain Controller Vendors

5.1 Tesla

5.1.1 Evolution of

Companies Mentioned

• Neusoft Reach
• Desay SV
• iMotion
• Freetech
• Hong Jing Drive
• Technomous
• Haomo.ai
• Motovis
• Huawei
• HoloMatic
• MINIEYE
• MAXIEYE
• ZongMu Technology
• Baidu
• Joynext
• NavInfo
• ECARX
• Pony.ai
• Z-ONE Tech
• Yihang.ai
• Jingwei Hirain
• Idriverplus
• DJI Automotive
• EnjoyMove Technology
• Novauto
• G-Pulse (Intron)
• CICTCI
• ThunderX (ThunderSoft)
• Foryou Group
• Lan-You Technology
• Nullmax
• Unlimited AI
• Tesla
• Bosch
• Continental
• ZF
• Aptiv
• Magna & Veoneer
• Visteon

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