Driven by market demand and policies, passenger cars equipped with L2 assisted driving functions have been mass-produced, which triggers enthusiastic market response and robust demand.
1. Installations of L2 autonomous driving functions increased by 118.9% year-on-year
In 2020, the automobile market was affected by the economic downturn and COVID-19. From January to November 2020, the number of passenger cars insured in China was 16.136 million, a year-on-year decrease of 7.5%. Among them, there were 2.60 million ones equipped with L2 autonomous driving functions, a year-on-year spike of 118.9%; the installation rate jumped 9.3 percentage points year-on-year to 16.1%. Plus multiple negative factors, installations of L2 autonomous driving functions bucked the trend to grow, with strong market demand.

In terms of regions, models equipped with L2 autonomous driving functions are mainly sold to economically developed regions such as Guangdong, Jiangsu and Zhejiang. Among them, installations in Guangdong accounted for 15.9%, much higher than other provinces.

2. Emerging brands such as Tesla, NIO and Lixiang are more aggressive, with the L2 installation rate reaching 100%
From January to November 2020, a total of 57 passenger car brands (including 32 independent brands and 25 joint venture brands) in China launched L2 autonomous driving functions. Among them, 28 brands (including 11 independent brands and 17 joint venture brands) installed the functions on more than 10,000 cars.
From the perspective of installations, Toyota tops among the industry with 885,000 cars equipped with L2 autonomous driving functions. Its Toyota Safety Sense system has been installed on popular models such as Corolla, Levin, RAV4, AVALON, etc. to feature lane tracking assist (LTA), which can follow the preceding vehicle, provide some necessary steering operations, and keep the vehicle in the center of the lane when the lane line is difficult to identify in traffic jams, or follow the trajectory of the preceding vehicle at low speed.
As for installation rate, emerging automakers represented by Tesla, NIO and Lixiang adopt advanced electronic and electrical architectures to enable vehicles to achieve L2 or L2+ assisted driving functions through OTA upgrades, and further develop toward intelligence.

The current L2 autonomous driving functions are mainly divided into two categories: autonomous driving in a single lane, such as integrated adaptive cruise (ICA), traffic jam assist (TJA); autonomous driving that supports commanded lane changes, such as highway assist (HWA).
3. 1V1R is the mainstream sensor configuration solution
At present, the mainstream solutions of L2 autonomous driving include 1V1R (a camera + a forward radar) and 1V3R (a camera + a forward radar + 2 rear angle radar), which seize the combined market share of 89.3%; however, 1V1R enjoys the lion’ s share of 60.5%.
Given roadmaps or cost control, some automakers realize L2 autonomous driving through a single vision solution (1V). Some other manufacturers use 1V5R, 1V2R, 1V4R, 3V4R and the like to explore solutions and functions.

For example, NIO ES6 adopts the 3V4R solution
The 2020 NIO ES6 adopts a trinocular camera, 2 front-angle radars, 2 rear-angle radars, and a Mobileye chip to achieve Navigation on Pilot (NOP), Highway Pilot, and Traffic Jam Pilot (TJP), Auto-Lange Change (ALC) and many other L2 autonomous driving functions, and upgrade functions through OTA.
The trinocular camera used by NIO ES6 has wider field of view and higher accuracy than a monocular camera. The 52-degree camera detects general road conditions, the 28-degree camera detects long-distance targets and traffic lights, and the 150-degree camera detects the sides of the car body and cutting-in vehicles in short distance, with better front recognition performance.
In addition, ES6's NOP is based on the basic pilot functions, so that it can automatically switch high-speed lanes, enter or exit ramps according to navigation, and can intelligently adjust the cruising speed on the current road. Based on the realization of pilot lane keeping, ALC enables the automatic lane change of the vehicle by turning the turn signal lever.
4. L2 autonomous driving based on HD map is expected to prevail
With centimeter-level accuracy and rich road information, HD map has become an indispensable element of L3-L5 autonomous driving. But with the deepening of L2 autonomous driving, HD map is expected to find a new scenario.
Some top automakers have tried to apply HD map to L2 autonomous driving:
Tesla, NIO, Xpeng and other emerging automakers have launched L2+ highway cruise based on navigation/HD map, and enabled autonomous driving on highways through navigation path planning.
In July 2020, SAIC-GM Cadillac CT6 equipped with the Super Cruise driver-assistance feature officially debuted. With HD map, Super Cruise can control vehicles on highways and keep them within lanes.

Map suppliers have also introduced corresponding solutions.
Baidu released ANP, a high-level intelligent driving solution based on HD map
In December 2020, Baidu released ANP (Apollo Navigation Pilot), a high-level intelligent driving solution based on HD map.
ANP is a low-level Apollo Lite which is Baidu’s L4 autonomous driving solution. Equipped with the HD map tailored by Baidu for autonomous vehicles, ANP not only supports highways and city loops, but also fits for urban roads. Through CVIS, the driving experience is close to the L4 Robotaxi.
NavInfo launched LitePilot, an HD map product for L2+ autonomous driving
NavInfo has launched HD map for L2+, L3, and L4-5 respectively. LitePilot, an HD map product for L2+ autonomous driving scenarios, can help vehicles drive through ramps, roundabouts and intersections, as well as prepare to turn right.
NavInfo HD map products for different scenarios:

Focusing on L2+ autonomous driving, HD Lite is currently the main product of NavInfo. Compared with HD Pro, HD Lite has fewer map elements, but it can provide autonomous driving map services with lower cost, wider area coverage and higher update frequency, enable highway and city map services, and accelerate the implementation of L2+ autonomous driving technology.
Under the background that L3 autonomous driving features have not been mass-produced, OEMs, integrators, map vendors and other industry chain companies will strive to maximize the capability of L2 autonomous driving and move closer to L3. HD map is expected to find new market space herein.
Research Report on Automotive Memory Chip Industry and Its Impact on Foundation Models, 2025
Research on automotive memory chips: driven by foundation models, performance requirements and costs of automotive memory chips are greatly improved.
From 2D+CNN small models to BEV+Transformer found...
48V Low-voltage Power Distribution Network (PDN) Architecture and Supply Chain Panorama Research Report, 2025
For a long time, the 48V low-voltage PDN architecture has been dominated by 48V mild hybrids. The electrical topology of 48V mild hybrids is relatively outdated, and Chinese OEMs have not given it suf...
Research Report on Overseas Cockpit Configuration and Supply Chain of Key Models, 2025
Overseas Cockpit Research: Tariffs stir up the global automotive market, and intelligent cockpits promote automobile exports
ResearchInChina has released the Research Report on Overseas Cockpit Co...
Automotive Display, Center Console and Cluster Industry Report, 2025
In addition to cockpit interaction, automotive display is another important carrier of the intelligent cockpit. In recent years, the intelligence level of cockpits has continued to improve, and automo...
Vehicle Functional Safety and Safety Of The Intended Functionality (SOTIF) Research Report, 2025
Functional safety research: under the "equal rights for intelligent driving", safety of the intended functionality (SOTIF) design is crucial
As Chinese new energy vehicle manufacturers propose "Equal...
Chinese OEMs’ AI-Defined Vehicle Strategy Research Report, 2025
AI-Defined Vehicle Report: How AI Reshapes Vehicle Intelligence?
Chinese OEMs’ AI-Defined Vehicle Strategy Research Report, 2025, released by ResearchInChina, studies, analyzes, and summarizes the c...
Automotive Digital Key (UWB, NearLink, and BLE 6.0) Industry Trend Report, 2025
Digital key research: which will dominate digital keys, growing UWB, emerging NearLink or promising Bluetooth 6.0?ResearchInChina has analyzed and predicted the digital key market, communication techn...
Integrated Battery (CTP, CTB, CTC, and CTV) and Battery Innovation Technology Report, 2025
Power battery research: 17 vehicle models use integrated batteries, and 34 battery innovation technologies are released
ResearchInChina released Integrated Battery (CTP, CTB, CTC, and CTV)and Battery...
AI/AR Glasses Industry Research Report, 2025
ResearchInChina released the " AI/AR Glasses Industry Research Report, 2025", which deeply explores the field of AI smart glasses, sorts out product R&D and ecological layout of leading domestic a...
Global and China Passenger Car T-Box Market Report 2025
T-Box Research: T-Box will achieve functional upgrades given the demand from CVIS and end-to-end autonomous driving
ResearchInChina released the "Global and China Passenger Car T-Box Market Report 20...
Automotive Microcontroller Unit (MCU) Industry Report, 2025
Research on automotive MCUs: the independent, controllable supply chain for automotive MCUs is rapidly maturing
Mid-to-high-end MCUs for intelligent vehicle control are a key focus of domestic produc...
Automotive LiDAR Industry Report, 2024-2025
In early 2025, BYD's "Eye of God" Intelligent Driving and Changan Automobile's Tianshu Intelligent Driving sparked a wave of mass intelligent driving, making the democratization of intelligent driving...
Software-Defined Vehicles in 2025: SOA and Middleware Industry Research Report
Research on automotive SOA and middleware: Development towards global SOA, cross-domain communication middleware, AI middleware, etc.
With the implementation of centrally integrated EEAs, OEM softwar...
Global and Chinese OEMs’ Modular and Common Technology Platform Research Report, 2025
Modular platforms and common technology platforms of OEMs are at the core of current technological innovation in automotive industry, aiming to enhance R&D efficiency, reduce costs, and accelerate...
Research Report on the Application of AI in Automotive Cockpits, 2025
Cockpit AI Application Research: From "Usable" to "User-Friendly," from "Deep Interaction" to "Self-Evolution"
From the early 2000s, when voice recognition and facial monitoring functions were first ...
Analysis on Li Auto’s Layout in Electrification, Connectivity, Intelligence and Sharing, 2024-2025
Mind GPT: The "super brain" of automotive AI Li Xiang regards Mind GPT as the core of Li Auto’s AI strategy. As of January 2025, Mind GPT had undergone multip...
Automotive High-precision Positioning Research Report, 2025
High-precision positioning research: IMU develops towards "domain controller integration" and "software/hardware integrated service integration"
According to ResearchInChina, in 2024, the penetration...
China Passenger Car Digital Chassis Research Report, 2025
Digital chassis research: Local OEMs accelerate chassis digitization and AI
1. What is the “digital chassis”?
Previously, we mostly talked about concepts such as traditional chassis, ch...