China L2 and L2+ Autonomous Passenger Car Research Report, 2022
  • Nov.2022
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L2 and L2+ research: The installation rate of L2 and L2+ is expected to exceed 50% in 2025.

So far, L2 ADAS has achieved mass production, and L2+ ADAS has seen development opportunities as the layout focus of OEMs and suppliers.

According to ResearchInChina, from January to September 2022, the L2 and L2+ ADAS installation rate of domestic passenger cars reached 33.5%, of which L2 accounted for 28.4% and L2+ 5.1%.

As Shenzhen, Shanghai, Guangzhou and other cities implement high-level autonomous driving policies and Li Auto, Xpeng, NIO and Great Wall mass-produce pilot assist functions, L2+ and higher-level ADAS will be popular quickly. It is estimated that the installation rate of L2 and L2+ ADAS will exceed 50% by 2025, of which L2+ may make up 15%.

Multi-sensor fusion + HD maps" facilitates L2+ ADAS solutions to land.

With the development of autonomous driving toward a higher level, the number of sensors in ADAS is gradually increasing. According to the statistics of ResearchInChina, L2.5/L2.9 models launched in China from January to September 2022 mainly adopt 1V5R and 6V1R1L solutions, which boast more cameras, radars and LiDARs than the mainstream 1V1R solution for L2.0.

Among them, LiDAR has become the key to the high-level autonomous driving of most automakers. Both ARCFOX αS HI and Avatr11 are equipped with three Huawei LiDARs to realize high-speed NCA and other functions. Saloon Mecha Dragon even said it will carry four LiDARs.

At present, most of the LiDAR models that have been mass-produced by OEMs mainly carry forward-looking LiDAR. However, as the application scenarios of intelligent driving systems spread from highways to cities, blind-spot-filling LiDAR has been introduced, such as FT120 released by Hesai Technology in November 2022, RS-LiDAR-E1 unveiled by RoboSense in November 2022, LDSatellite? launched by LiangDao Intelligence in May 2022, etc. In the future, blind-spot-filling LiDAR will be combined with long-range LiDAR to feature vehicle-wide perception and fill blind spots.

In addition to LiDAR, HD maps have become necessary for L2+ ADAS layout of automakers, especially for realization of assisted driving in high-speed scenarios. For example, NIO and GAC use Baidu Maps, while Xpeng and Li Auto cooperate with AutoNavi (

From January to September 2022, more than 130,000 vehicles were involved with high-speed NOA solutions, and some vehicles began to adopt urban NOA solutions.

NOA (Navigation on AutoPilot) is a typical function of L2+ assisted driving, and it is also the key to the transition from ADAS to FSD. It enables point-to-point autonomous driving on highways, urban expressways and ordinary urban roads. By application scenarios, NOA mainly includes high-speed NOA and urban NOA.

According to the data of ResearchInChina, from January to September 2022, more than 130,000 vehicles were involved with high-speed NOA solutions, swelling by 387.0%; meanwhile, Xpeng P5, Xpeng G9 and other models began to adopt urban NOA solutions.

High-speed NOA has been available in Tesla’s models since 2018. NIO, Xpeng, Li Auto, Great Wall, GAC, ARCFOX, etc. followed suit to launch NOA featuring intelligent follow-up, intelligent lane change, automatic ramp up and ramp down, switching between main and side roads, etc. It is expected that in the next 1-2 years, a large number of new models will be equipped with high-speed NOA solutions.

Xpeng, ARCFOX and Great Wall have taken the lead in urban NOA layout. On September 17, 2022, Xpeng pushed urban NOA named “NGP” to some P5 customers in Guangzhou. On September 23, some Shenzhen-based users of ARCFOX αS HI were notified of urban NOA called “NCA”. Great Wall plans to offer NOA with the official name “NOH” in Beijing and Baoding within this year. NIO and Li Auto will launch NOA in 2023.

From highways to cities, the solution of "high-weight perception and low-weight maps" is coming out.

Compared with high-speed NOA, urban NOA faces more complicated participants and scenarios, more difficult data collection and higher computing power requirements. In the context of the state's emphasis on data security, the examination and approval of the Grade A surveying and mapping qualification for HD maps has been tightened. Therefore, it is difficult for ADAS to hit urban roads on a large scale in a short time. In this case, some suppliers and automakers have introduced the urban NOA solution of "high-weight perception and low-weight maps" without reliance on HD maps.

(1) Xpeng Urban NGP
Compared with Li Auto and NIO, Xpeng acts faster in urban NGP. On September 17, Xpeng started to push urban NGP to P5 (based on XPILOT3.5) users in Guangzhou, and planned to offer it in Shenzhen and Shanghai before H1 2023. On September 21, Xpeng G9 was released, including the Max version equipped with XNGP covering all scenarios. The biggest difference between XNGP and XPILOT is that XNGP enables assisted driving in areas uncovered by HD maps.

The core perception technology of Xpeng XNGP is XNet, the next-generation perception architecture, which debuted in October 2022. It can fuse the images captured by multiple cameras in the bird's eye view (BEV) through Transformer, and output the dynamic and static information of targets.

Xpeng has cooperated with Alibaba Cloud to set up Fuyao, an intelligent computing center for autonomous driving with a computing power of 600PFLOPS, to implement urban NGP.

(2) Great Wall Urban NOH
The urban NOH solution of "high-weight perception and low-weight maps”, which is promoted by Haomo.AI under Great Wall, will be mass-produced for Mocha DHT-PHEV (LiDAR version) this year. With HPilot 3.0, the solution consists of 12 cameras, 5 radars, 2 LiDARs, 12 ultrasonic radars, and "Little Magic Box 3.0". Little Magic Box 3.0 was developed based on Qualcomm Snapdragon Ride, with the single-board computing power of 360TOPS, which can be upgraded to 1440TOPS.

By virtue of MANA, an intelligent autonomous driving data system developed by Haomo.AI, the Great Wall NOH integrates vision and LiDAR data on the underlying algorithm to accomplish the deep perception of space, time and sensors, so as to allow vehicles to intelligently recognize traffic lights, turn left unprotected, intelligently change lanes, intelligently avoid (static & dynamic) obstacles, etc.

Local suppliers take the lead in launching NOA driving and parking integrated solutions to seize some market shares from foreign investors.

At present, foreign investors still dominate the domestic L2 and L2+ ADAS market for passenger cars, especially Bosch, Continental and ZF in L2 ADAS market. According to the statistics of ResearchInChina, from January to September 2022, TOP4 brands in L2/L2+ ADAS market all belonged to foreign-funded enterprises, which enjoyed a combined market share of more than 60%.

With the rising demand for advanced assisted driving, the EE architecture tends to be centralized. Local suppliers are the first to make layout and launch NOA driving and parking integrated solutions. In contrast, traditional Tier1 suppliers such as Bosch, Continental and ZF make slow progress, but some of them like Bosch have begun to exert their strength. In July 2022, Bosch cooperated with Volkswagen to jointly develop L2 assisted driving and L3 autonomous driving systems. Meanwhile, the L2+ intelligent driving solution (covering cities, viaducts, freeways and other application scenarios) developed by Bosch and WeRide together was designated, and it is expected to be mass-produced in 2023.

In 2022, domestic autonomous driving suppliers, including Yihang.AI, MAXIEYE, Freetech, Hong Jing Drive and so on, launched NOA driving and parking integrated solutions. Yihang.AI has offer its NOA driving and parking integrated solution to production SAIC MAXUS.

Yihang.AI’s NOA driving and parking integrated solution consists of “5R11V + 12USS + perception algorithm + TDA4 domain controllers”, which reduces the cost by more than 50% compared with NOA solution that has been launched. It can realize functions such as automatic overtaking, automatic road network switching, automatic ramp up and ramp down, memory parking (1,000 meters), etc., and can make NOA available on models priced below RMB150,000 through flexible hardware configuration solutions.

In July 2022, MAXIEYE unveiled MAXIPILOT?1.0 PLUS which supports NOM. It has been designated by HYCAN’s new model production project.

1 Status Quo and Trends of L2 and L2+ ADAS Market
1.1 Installations and Installation Rate of L2 and L2+ ADAS 
1.1.1 ADAS Installations and Installation Rate of Passenger Cars in China (by Level)
1.1.2 Installations and Installation Rate of L2 and L2+ ADAS
1.1.3 Installations and Installation Rate of L2 and L2+ ADAS: Independent Companies/ Joint Ventures
1.1.4 Installations and Installation Rate of L2 and L2+ ADAS: by Brand
1.1.5 Installations and Installation Rate of L2 and L2+ ADAS: by Model
1.1.6 Installations and Installation Rate of L2 and L2+ ADAS: by Price
1.1.7 Installations and Installation Rate of L2.0 ADAS: Independent Companies/ Joint Ventures 
1.1.8 Installations and Installation Rate of L2.0 ADAS: by Price 
1.1.9 Installations and Installation Rate of L2.0 ADAS: by Brand and by Model 
1.1.10 Installations and Installation Rate of L2.5 ADAS: by Price
1.1.11 Installations and Installation Rate of L2.5 ADAS: by Brand and by Model 
1.1.12 Installations and Installation Rate of L2.9 ADAS: by Price
1.1.13 Installations and Installation Rate of L2.9 ADAS: by Brand and by Model 
1.2 L2 and L2+ ADAS Installation Solutions
1.2.1 Overall L2 and L2+ ADAS Installation Solutions for Passenger Cars
1.2.2 Overall L2 and L2+ ADAS Installation Solutions for New Passenger Cars 
1.2.3 Overall L2.0 ADAS Installation Solutions for Passenger Cars
1.2.4 Overall L2.0 ADAS Installation Solutions for New Passenger Cars 
1.2.5 Overall L2.5 ADAS Installation Solutions for Passenger Cars
1.2.6 Overall L2.5 ADAS Installation Solutions for New Passenger Cars
1.2.7 Overall L2.9 ADAS Installation Solutions for Passenger Cars
1.2.8 Overall L2.9 ADAS Installation Solutions for New Passenger Cars
1.3 Market Trends
1.3.1 Policies Lead to Localization and Regionalization of Domestic High-level Autonomous Driving 
1.3.2 L2 and L2+ ADAS Installation Rate of Domestic Passenger Cars Will Exceed 50% in 2025 
1.3.3 Domain Centralization Marks an Important Direction for ADAS
1.3.4 Domain Centralization Marks an Important Direction for ADAS: integration of Parking and Navigation
1.3.5 Domain Centralization Marks an Important Direction for ADAS: Chip Upgrade
1.3.6 Domain Centralization Marks an Important Direction for ADAS: ADAS Solution Upgrade
1.3.7 LiDAR Facilitates Large-scale Application of Vehicles with ADAS 
1.3.8 HD Maps Have Become the Key for Mainstream Automakers to Develop Advanced Assisted Driving 
1.3.9 Pilot Assist Is Rapidly Popularized and Many OEMs to Install It on Vehicles
1.3.10 ADAS Gradually Expands from High-speed Scenarios to Cities
1.3.11 Intensified Competition in L2 and L2+ ADAS Market  
1.3.12 L2/L2+ Autonomous Driving Solutions of Foreign ADAS Suppliers
1.3.13 L2/L2+ Autonomous Driving Solutions of Local ADAS Suppliers

2 Typical L2.9 Models of OEMs
2.1 Li Auto
2.1.1 Development Roadmap of Autonomous Driving
2.1.2 Typical Model with L2+ Autonomous Driving System: L9
2.1.3 Functions of L9 AD MAX System
2.1.4 NOA Functions of L9
2.2 Xpeng
2.2.1 Development Roadmap of Autonomous Driving
2.2.2 Highlight of L2+ Autonomous Driving System: High-speed NGP 
2.2.3 Highlight of L2+ Autonomous Driving System: Urban NGP 
2.2.4 Typical Model with L2+ Autonomous Driving System
2.3 NIO
2.3.1 Development Roadmap of Autonomous Driving
2.3.2 NAD Assisted Driving System
2.3.3 Highlight of L2+ Autonomous Driving System: High-speed NOP  
2.3.4 Typical Model with L2+ Autonomous Driving System
2.4 Great Wall
2.4.1 Development Roadmap of Autonomous Driving
2.4.2 L2+ Assisted Driving Function: High-speed NOH 
2.4.3 L2+ Assisted Driving Function: Urban NOH 
2.4.4 Typical Model with L2+ Intelligent Driving
2.5 GAC
2.5.1 Development Roadmap of Autonomous Driving System
2.5.2 ADiGo PILOT Intelligent Driving System
2.5.3 L2+ Intelligent Driving Function: High-speed NDA
2.5.4 Typical Model with L2+ Intelligent Driving System
2.6 Geely
2.6.1 Development Roadmap of Autonomous Driving 
2.6.2 L2+ Assisted Driving Function of Lynk & Co: High-speed HWC
2.6.3 Typical Model with L2+ Autonomous Driving
2.7 SAIC 
2.7.1 Development Roadmap of Autonomous Driving
2.7.2 L2+ Assisted Driving Function of Rising Auto: High-speed NOA
2.7.3 Typical Model with L2+ Autonomous Driving of Rising Auto
2.8 BAIC 
2.8.1 Development Roadmap of Autonomous Driving 
2.8.2 L2+ Assisted Driving Function of ARCFOX: NCA
2.8.3 Typical Model with L2+ Autonomous Driving of ARCFOX 
2.9 Tesla
2.9.1 Development Roadmap of Autonomous Driving System
2.9.2 Autonomous Driving System: FSD System 
2.9.3 Main Functions of FSD System 

3 L2 and L2+ ADAS Solutions of Foreign Suppliers
3.1 Bosch
3.1.1 Profile
3.1.2 Autonomous Driving Product Layout
3.1.3 Autonomous Driving Solutions
3.1.4 Cooperation with Volkswagen on L2/L3 Autonomous Driving 
3.2 Continental
3.2.1 Profile
3.2.2 Autonomous Driving Development Planning and Full-stack Solutions
3.2.3 L2 and Higher-level Autonomous Driving Solutions
3.2.4 Main L2 and Higher-level Autonomous Driving Functions
3.2.5 Dynamics in Autonomous Driving
3.3 ZF
3.3.1 Profile
3.3.2 Autonomous Driving Product Layout
3.3.3 L2+ Autonomous Driving Solutions
3.3.4 Dynamics in Autonomous Driving
3.4 Aptiv
3.4.1 Profile
3.4.2 Autonomous Driving Product Layout
3.4.3 Autonomous Driving Solutions
3.5 Veoneer
3.5.1 Profile
3.5.2 Core Autonomous Driving Company: Arriver
3.5.3 ADAS and Layout
3.5.4 Autonomous Driving Solutions
3.5.5 L2 and L2+ Autonomous Driving Solutions
3.6 Hyundai Mobis
3.6.1 Profile
3.6.2 Autonomous Driving Development Planning
3.6.3 Autonomous Driving Product Layout
3.6.4 Autonomous Driving Solutions
3.7 Magna
3.7.1 Profile
3.7.2 Intelligent Driving Development Planning
3.7.3 Autonomous Driving Solutions
3.8 Valeo
3.8.1 Profile
3.8.2 Autonomous Driving Product Layout
3.8.3 Autonomous Driving Solutions
3.8.4 Autonomous Driving Solutions: Cruise4U
3.8.5 Autonomous Driving Solutions: Drive4U
3.9 Denso
3.9.1 Profile
3.9.2 Autonomous Driving Products and Layout
3.9.3 L2 Autonomous Driving Solutions

4 L2 and L2+ ADAS Solutions of Domestic Suppliers
4.1 Freetech
4.1.1 Profile
4.1.2 End-to-end Full-stack Technology
4.1.3 Autonomous Driving Solutions
4.1.4 L2 Autonomous Driving Solutions
4.1.5 L2+ Autonomous Driving Solutions
4.1.6 Dynamics in Autonomous Driving
4.2 Jingwei Hirain
4.2.1 Profile
4.2.2 Main Business
4.2.3 Intelligent Driving Products
4.2.4 Driving and Parking Integrated Solutions
4.2.5 ADAS Projects for Passenger Cars
4.3 Desay SV
4.3.1 Profile
4.3.2 Intelligent Driving Products
4.3.3 Intelligent Driving Domain Controllers
4.3. 4 Intelligent Driving Investment
4.3.5 Major Customers
4.4 Hong Jing Drive  
4.4.1 Profile
4.4.2 Development History
4.4.3 Main ADAS/AD Products
4.4.4 Autonomous Driving Solutions 
4.4.5 Core Capabilities of Autonomous Driving
4.4.6 Main Projects
4.5.1 Profile
4.5.2 Autonomous Driving Technology Development Strategy
4.5.3 Autonomous Driving Business and Planning
4.5.4 L2 Autonomous Driving System
4.5.5 L2+ Autonomous Driving System
4.5.6 Cooperation Dynamics in Autonomous Driving
4.6 Haomo.AI
4.6.1 Profile
4.6.2 Development History of Autonomous Driving
4.6.3 HPilot System
4.6.4 High-speed NOH Solutions
4.6.5 Urban NOH Solutions
4.6.6 Autonomous Driving Domain Controllers
4.6.7 Autonomous Models and Partners
4.7 iMotion
4.7.1 Profile
4.7.2 Development History
4.7.3 Product Strategic Planning
4.7.4 Autonomous Driving Business
4.7.5 Autonomous Driving Solutions
4.7.6 L2 Autonomous Driving Solutions
4.7.7 Core Capabilities of Autonomous Driving
4.7.8 Autonomous Driving Mass Production Project Cases 
4.8 Momenta
4.8.1 Profile
4.8.2 Autonomous Driving Strategy
4.8.3 L2+ Autonomous Driving Solutions
4.8.4 Dynamics in Autonomous Driving
4.9 Neusoft Reach
4.9.1 Profile
4.9.2 Autonomous Driving Product Lineup
4.9.3 L2 Autonomous Driving Solutions 
4.9.4 L2+ Autonomous Driving Solutions
4.9.5 Application Products of Autonomous Driving Software Architecture  
4.10 Yihang.AI
4.10.1 Profile
4.10.2 Autonomous Driving Product Lineup
4.10.3 L2 Autonomous Driving Solutions
4.10.4 L2+ Intelligent Driving Solutions
4.10.5 L3/L4 Intelligent Driving Solutions 
4.11 Huawei
4.11.1 Autonomous Agricultural Machinery Lineup
4.11.2 Full-stack ADS Solutions
4.11.3 ADS functions at Freeways/Cities (L2+)
4.12 Horizon Robotics
4.12.1 Autonomous Driving Products and Solutions
4.12.2 L2-L4 Autonomous Driving Solutions
4.12.3 L2+ ADAS Solutions
4.13 Baidu
4.13.1 Intelligent Driving Solutions
4.13.2 L2+ Autonomous Driving Solutions

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