ADAS and Autonomous Driving Tier 1 Suppliers Research Report, 2023 – Chinese Companies
  • June 2023
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Research on China’s local Tier 1 suppliers: build up software and hardware strength, and “besiege” driving-parking integration by three routes.

01 Build up their own software and hardware capabilities 

In 2021, SAIC announced its determination to self-develop core technologies and products, which made a splash in the industry. Many OEMs hold high the banner of "full-stack independent development" to hold in hands core technologies and products. Emerging carmakers like NIO, XPeng Motor and Li Auto have taken the lead in deploying full-stack technologies from hardware and middleware to application algorithms, while high-end brands of conventional automakers, such as IM Motor and Aion, have also stepped up their R&D efforts.   

In this context, China’s local Tier 1 suppliers are the first to adjust their strategic direction, and strengthen their software and hardware capabilities by way of cooperation and self-development. Some of them have transformed from hardware suppliers to full-stack intelligent driving system solution providers, and have secured several mass production projects from OEMs, for example, Lynk Co-Pilot Navi, the intelligent driving system Freetech developed for Lynk & Co 09EM-P Voyage Edition, and the Supervision system co-developed by iMotion and Mobileye for ZEEKR 001.

According to ResearchInChina, in 2023Q1 Freetech joined the camp of the top five L2+ ADAS suppliers in China. Based on the ODIN digital intelligence base solution (self-developed sensor/domain controller/intelligent driving algorithm, and data closed-loop system), Freetech can provide complete software and hardware integrated solutions. 

In 2022, Freetech mass-produced ADC15 and ADC20 domain controllers, of which ADC20, with J3+TDA4 VM+TC397 and 13TOPS computing power, supports 6V5R/5V5R NOA and has been spawned and installed in quite a few models such as Geely Boyue L and Lynk 09 EM-P Voyage Edition. The ADC30 domain controller under development, with 448TOPS computing power and 3*J5+2*TDA4VH+2*TC397, supports 11V5R3L, and enables L3 autonomous driving. ADC30 is scheduled to be produced in quantities in 2024, and will be applied to the project cooperated with FAW Hongqi.   

本土Tier1 1_副本.png

ADC-X, Freetech’s next-generation domain controller with DNN compute up to 1000TOPS or higher, packs two SoCs and two MCUs, enabling such functions as point-to-point autonomous driving and AVP in urban areas.

In addition, Neusoft Reach, iMotion and SenseTime among others are creating full-stack autonomous driving solutions that integrate hardware, software, data, systems and grouped services.

Making full use of its software technical strength and based on the new SDV development mode, Neusoft Reach announced X-Box 4.0, a high-performance driving-parking integrated domain controller for L2++, in April 2023. This controller carries Horizon Journey 5 chip with computing power up to 129 TOPS, and supports access to 11 HD cameras, 4D radar, ultrasonic radar and 8MP camera, enabling driving assistance in complex road conditions such as some city scenarios, highways and expressways.
X-Box 4.0 can be delivered as a packaged solution or some modules of layers, and the fully open system architecture allows partners to port and deploy products rapidly. The product has been designated and is scheduled to be mass-produced in H2 2023. 

Dong Xiaohang, chief consultant of Neusoft Reach’s autonomous driving business, said that full-stack Tier 1 suppliers provide some standard hardware, middleware, architecture and application algorithms in layers and modules, support the open business and R&D models of automakers, and help them build up their own core competence, and this concomitant ecosystem cooperation model is a way of survival for players to go further.

本土Tier1 2_副本.png

02 Local Tier 1 suppliers“besiege” driving-parking integration by three routes.

Supported by "software-hardware integration", China’s local Tier 1 suppliers keep improving their L1 to L4 intelligent driving solutions, meeting the needs of multiple scenarios such as parking, highway and city. Wherein, driving-parking integration has become a "high ground" to be contended for.

Since 2022, besides some OEMs that develop independently, emerging Tier 1 suppliers including iMotion, Freetech, Hong Jing Drive and Huawei have become the mainstream driving-parking integrated solution providers. 

Hong Jing Drive boasts full stack technologies covering hardware, algorithm, software and data, providing L2-L4 driving-parking integrated solutions. In 2022, Hong Jing Drive's driving-parking integrated domain controller solution based on three Horizon J3 chips was installed on the third-generation Roewe RX5. It enables enhanced highway NOP and home-zone parking pilot (HPP) functions.  

Hong Jing Drive is developing Hyper Piot 3.0, an advanced intelligent driving solution that uses a high-performance single-SoC domain controller with computing power up to 500TOPS and supports 4D radars, enabling such functions as NOP-C (navigate-on-pilot city) and AVP (automated valet parking). 

In April 2023, Hong Jing Drive launched another single-SoC lightweight driving-parking integrated solution which supports vehicle models valued at less than RMB150,000. The solution adopts single Journey 3 chip and two MCUs from Infineon and SemiDrive and supports 5V5R, enabling highway NOA, APA/RPA and other functions. The volume production of this solution is expected to start in 2023.

In addition to Hong Jing Drive, iMotion, MAXIEYE, Yihang.AI and the like have also introduced lightweight driving-parking integration solutions that also enable basic highway NOA through optimized algorithms and time-division multiplexing. In Yihang.AI’s case, based on single TDA4, its driving-parking integrated solution Lite can make the NOA function available using technologies like algorithmic pruning, knowledge distillation and shared Backbone. 

In general, Tier 1 suppliers in China have started "layered" layout of driving-parking integrated solutions. Thereof, the emergence of low-compute lower-cost solutions indicates that the market tends to be rational and pragmatic. But which route more caters to consumers still needs to be verified by the market.   

本土Tier1 3_副本.png

03 The supply chain relationships are being reshaped, and “openness + cooperation” helps local Tier 1 suppliers go further.

In recent years, the pace of reshaping intelligent vehicle supply chain relationships has quickened. As Tier 0.5, Tier 1.5 and new Tier 1 suppliers spring up, the supply relationships of conventional Tier 1 suppliers have been changing from a vertical structure to a network structure. 

本土Tier1 4_副本.png

In the meantime, suppliers keep changing their roles to adapt to the needs of OEMs, and tend to partner with them in diversified models. The previous "black box" model can no longer meet the needs, and Tier 1 suppliers begin to serve OEMs in a more open way. The "gray box" and "white box" models thus come out.  
Black box: conventional cooperation model where Tier 1 suppliers provide hardware and software.
Grey box: a model between white box and black box, in which Tier 1 suppliers can provide hardware (e.g., domain controllers) and custom software development to OEMs, and OEMs can designate all logo markings.
White box: OEMs self-develop application algorithms, software, etc., and Tier 1 suppliers provide hardware and related services. For example, the cooperation between Desay SV, XPeng Motor and Nvidia is a typical case of the white box model. Wherein, XPeng Motor independently develops a range of algorithms (e.g., perception and decision) and upper layer application software; Desay SV takes on hardware (intelligent driving domain controller), and some embedded software; Nvidia offers chips. 

本土Tier1 5_副本.png

In the run-up to the Auto Shanghai 2023, Baidu announced that it wants to be a new, specialist Tier 1 supplier. Li Zhenyu, president of Baidu Intelligent Driving Group, said that automakers are the leader in the value chain of the automotive industry, and Baidu respects their position. He also indicated that Baidu explores a new customer experience-centric cooperation model between the "white box" and "black box".  

本土Tier1 6_副本.png

In the new relationship designed by Baidu, automakers and Tier 1 suppliers are cooperating in a clear division of labor, openness and equality. Baidu will open up four key capabilities to automakers, namely, experience definition, independent experience evolution, full-cycle OTA service, and co-creation for growth.

Specifically, before SOP, Baidu Apollo can open up the human-machine interface, core capability SDK and underlying software interface in the form of API and SOA services, so that automakers can define and enable the matching human-machine interface and intelligent driving style according to their own brand positioning and target customers, and even participate in the technical process of intelligent vehicle control to improve end user experience.

Following successful SOP and delivery, Baidu Apollo can open up the intelligent driving data closed-loop cloud and grouped toolchain to automakers, helping them build a data closed-loop after a new model is launched, allowing them to independently improve data-driven intelligent driving experience, and giving them higher independence to win the intelligence race.  

In a longer period (e.g. 3 years) after SOP, if automakers want to still equip their models with the features and experience provided by Baidu Apollo's main intelligent driving products, Baidu Apollo will also be willing to provide corresponding solutions for them, for example, via quarterly OTA updates, ensuring that models will always have the latest intelligent driving capabilities.

1 Overview of ADAS and Autonomous Driving System
1.1 Levels of Intelligent Vehicle Autonomous Driving 
1.2 Development Plan for Intelligent Vehicle Autonomous Driving
1.3 Intelligent Vehicle Autonomous Driving System Architecture 
1.3.1 Perception Layer of Autonomous Driving: Sensor 
1.3.2 Perception Layer of Autonomous Driving: Camera
1.3.3 Perception Layer of Autonomous Driving: Radar
1.3.4 Perception Layer of Autonomous Driving: LiDAR
1.3.5 Perception Layer of Autonomous Driving: Sensor Trends
1.3.6 Perception Layer of Autonomous Driving: Positioning
1.4 Decision Layer of Autonomous Driving 
1.4.1 Decision Layer of Autonomous Driving: Domain Controller
1.4.2 Decision Layer of Autonomous Driving: Chip + Algorithm
1.5 Actuation Layer of Autonomous Driving
1.5.1 Actuation Layer of Autonomous Driving: Brake-by-Wire
1.5.2 Actuation Layer of Autonomous Driving: Steer-by-Wire
1.6 Installation Volume and Installation Rate of Passenger Car ADAS System in China
1.6.1 Installations and Installation Rate of Passenger Car L2 ADAS System
1.6.2 Installations and Installation Rate of L2+ ADAS in Passenger Cars
1.6.3 Installations and Installation Rate of L2.5 ADAS in Passenger Cars
1.6.4 Installations and Installation Rate of L2.9 ADAS in Passenger Cars 
1.7 Passenger Car ADAS Solutions in China
1.7.1 Passenger Car L2 ADAS Solutions in China
1.7.2 Passenger Car L2+ ADAS Solutions in China
1.7.3 Passenger Car L2.5 ADAS Solutions in China
1.7.4 Passenger Car L2.9 ADAS Solutions in China
1.8 Data Description of Passenger Car ADAS in China   

2 Comparison of Products and Solutions between Tier 1 Suppliers
2.1 Software and Hardware Layout of Major Tier 1 Suppliers in China
2.1.1 Comparison of Front View Cameras Layout between Major Tier 1 Suppliers in China
2.1.2 Comparison of Radar Layout between Major Tier 1 Suppliers in China
2.1.3 Comparison of Domain Controllers/Computing Platforms between Major Tier 1 Suppliers in China
2.1.4 Comparison of Algorithm/Software Layout between Major Tier 1 Suppliers in China 
2.2 Comparison of Intelligent Driving Solutions between Major Tier 1 Suppliers in China

3 Products and Solutions of Tier 1 Suppliers
3.1 Desay SV
3.1.1 Profile
3.1.2 Intelligent Driving Layout
3.1.3 Intelligent Driving Business Model
3.1.4 Intelligent Driving Sensors
3.1.5 Intelligent Driving Domain Controller
3.1.6 Central Computing Platform
3.1.7 Intelligent Driving Decision Layer Layout
3.1.8 Intelligent Driving Solutions
3.1.9 Smart Solution
3.1.10 Main Partners
3.2 HiRain Technologies
3.2.1 Profile
3.2.2 Intelligent Driving Layout
3.2.3 Major Sensors
3.2.4 Radar Layout
3.2.5 Parameters of4D Radar 
3.2.6 LiDAR Layout
3.2.7 High Precision Positioning Module
3.2.8 Driving-Parking Integrated Products 
3.2.9 Driving-Parking Integrated Domain Controller (ADCU)
3.2.10 High Performance Computer (HPC)
3.2.11 Central Computing Platform and Zone Controller
3.2.12 Intelligent Driving Software & Algorithm
3.2.13 Chassis Business
3.2.14 ADAS Solution
3.2.15 DMS Solution
3.2.16 Automated Parking Solution
3.2.17 MaaS Solution
3.2.18 Partners
3.3 Baidu Apollo
3.3.1 Profile
3.3.2 Business Model
3.3.3 Intelligent Product Matrix
3.3.4 Intelligent Driving Technology
3.3.5 Sensor Layout
3.3.6 Intelligent Driving Positioning + Map
3.3.7 Apollo Computing Unit (ACU)  
3.3.8 Algorithm + Chip Layout
3.3.9 Chassis-by-Wire Technology
3.3.10 Intelligent Driving Solutions
3.3.11 Apollo City Driving Max
3.3.12 Apollo Highway Driving Pro 
3.3.13 Apollo Parking
3.3.14 Cockpit-Driving Integration
3.3.15 Partners of Intelligent Driving Business
3.4 Huawei
3.4.1 Profile
3.4.2 Intelligent Vehicle Solutions BU
3.4.3 Camera 
3.4.4 Radar
3.4.5 LiDAR
3.4.6 Intelligent Driving Computing Platform (MDC)
3.4.7 Autonomous Driving Central Super Computer (ADCSC)
3.4.8 HI Full-stack Intelligent Vehicle Solution
3.4.9 Autonomous Driving Solution (ADS)
3.4.10 Intelligent Driving Partners
3.5 Neusoft Reach 
3.5.1 Profile
3.5.2 Front View Smart Camera 
3.5.3 ADAS Controller
3.5.4 Driving-Parking Integrated Domain Controller
3.5.5 Central Computing Platform
3.5.6 SOA Software Architecture
3.5.7 Basic Software: NeuSAR
3.5.8 DMS 
3.5.9 Intelligent Driving Partners
3.6 Freetech 
3.6.1 Profile
3.6.2 ODIN Digital Intelligence Base 
3.6.3 Sensor Layout
3.6.4 Camera Product Planning
3.6.5 Radar Product Planning
3.6.6 Domain Controller Product Planning
3.6.7 ADC20 Domain Controller
3.6.8 ADC25 Domain Controller
3.6.9 ADC30 Domain Controller
3.6.10 Internal Architecture of ADC Domain Controller 
3.6.11 Next Generation ADC Domain Controller
3.6.12 Advanced Intelligent Driving Algorithm Architecture
3.6.13 Data Closed Loop
3.6.14 Autonomous Driving Software Platform (FAS)
3.6.15 Advanced Intelligent Driving Solution Roadmap 
3.6.16 ADAS Solutions
3.6.17 Driving-Parking Integrated Solution
3.6.18 Intelligent Driving Partners
3.7 iMotion 
3.7.1 Profile
3.7.2 Development History
3.7.3 Products and Revenue
3.7.4 Product Strategy
3.7.5 Camera Products
3.7.6 Domain Controller Products
3.7.7 Autonomous Driving Algorithms and Software
3.7.8 Intelligent Driving Solutions
3.7.9 Major Partners
3.8 SenseTime 
3.8.1 Introduction to Automotive Business 
3.8.2 SenseAuto Intelligent Vehicle Technology
3.8.3 SenseAuto Intelligent Driving Solution
3.8.4 Automotive Partners 
3.9 Hong Jing Drive 
3.9.1 Profile
3.9.2 Business Layout
3.9.3 Business Model
3.9.4 Camera Module
3.9.5 Domain Controller
3.9.6 Software Algorithm Platform
3.9.7 Intelligent Driving Solutions
3.9.8 Lightweight Driving-Parking Integrated Solution
3.9.9 Advanced Intelligent Driving System Solution
3.9.10 Major Partners
3.10 Yihang.AI
3.10.1 Profile
3.10.2 Business Model
3.10.3 Front View All-in-One 
3.10.4 Driving-Parking Integration Algorithm 
3.10.5 Passenger Car Intelligent Driving Solution 
3.10.6 Highway NOA Driving-Parking Integrated Solution
3.10.7 Full Self Driving (FSD) 
3.10.8 Single-SOC Driving-Parking Integrated Solution: Lite
3.10.9 Partners
3.11.1 Profile
3.11.2 Intelligent Driving Technology Development Strategy
3.11.3 Intelligent Driving Business and Planning
3.11.4 Visual Perception System 
3.11.5 Intelligent Driving Full-stack Technology
3.11.6 Intelligent Driving Solutions
3.11.7 MAXIPILOT (?)1.0
3.11.8 MAXIPILOT (?)1.0 PLUS
3.11.9 MAXIPILOT?2.0-NOM
3.11.10 Partners
3.12.1 Profile
3.12.2 Business Model
3.12.3 Development History of Passenger Car Intelligent Driving
3.12.4 Intelligent Driving Domain Controller Product Roadmap 
3.12.5 Intelligent Driving Domain Controller: Little Magic Box 3.0
3.12.6 MANA Data System 
3.12.7 Smart Computing Center
3.12.8 Five Models of MANA
3.12.9 DriveGPT
3.12.10 HPilot 
3.12.11 HPilot 2.0 
3.12.12 HPilot 3.0 
3.12.13 Customers and Partners

4 Exploration of Competition & Cooperation in Tier 1 Industry Chain
4.1 Supply Chain Relationships in China’s Intelligent Driving Market 
4.2 Exploration of Cooperation Model between Tier 1 Suppliers and OEMs in China
4.3 Exploration of Cooperation Model between Tier 1 Suppliers and Chip Vendors in China
4.4 Exploration of Software Development and Cooperation between Tier 1 Suppliers in China
4.5 Exploration of Competitive Pattern between Tier 1 Suppliers in China

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