China Passenger Car Driving-parking Integrated Solution Industry Report, 2023
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Research on driving-parking integration: with the declining share of the self-development model, suppliers' solutions blossom.

Local suppliers lead the driving-parking integration market.

The statistics of ResearchInChina show that from January to May 2023, the installations of driving-parking integrated solutions in production vehicle models were 490,000 sets, soaring by 138% on a like-on-like basis, and the installation rate hit 6.7%, up 3.8 percentage points over the same period last year. It is predicted that the installations in 2025 will reach 6.19 million sets, and the installation rate will be 30%. 
 
In terms of driving-parking integrated domain controller suppliers, from January to May 2023, automakers’ products built by way of “self-development + OEM” prevailed in the market, with a combined 52.4% share. The typical automakers that adopted the self-development model were emerging carmakers like Tesla and NIO.

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From the shares of passenger car driving-parking integrated domain controller suppliers, it can be seen that the share of the “self-development + OEM” model declined from 77% in 2021 to 52.4% in the first five months of 2023. It shows that suppliers are becoming mainstream. In the driving-parking integration market, the solutions of suppliers tend to be diversified and abundant.

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Local Tier 1 suppliers lead the driving-parking integrated solution market for the following reasons:

20120114.gifLocal suppliers have deployed driving-parking integration early and made continuous efforts to improve their hardware and software full-stack development capabilities. For example, Desay SV has started to make layout in the driving-parking integration market since 2020, and has become a supplier that integrates the "hardware + underlying software + middleware + system integration" capabilities. As concerns Yuanfeng Technology’s L2+ driving-parking integrated solutions, the company not only independently develops autonomous driving domain controllers, but also deep learning algorithms which enable fused positioning covering GNSS, IMU, lane lines, semantic SLAM, wheel speed & mileage, etc. Its solutions can remodel the environment according to multi-sensor perception (camera, radar, etc.) and positioning data, for the purpose of global path, trajectory and behavior prediction planning, as well as transverse and longitudinal control and actuator management. At present, the mass-produced Super Park 1.0 solution delivers a parking space recognition accuracy of 97% and a parking success rate of 95%, covers over 180 types of mainstream parking spots, and supports head-in parking; for unconventional parking spaces, the custom AR parking allows users to deal with in stride.  

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20120114.gifLocal suppliers provide flexible and open cooperation models to meet the differentiated and customized needs of OEMs. For instance, the Baidu Apollo Self Driving Openness White Paper Baidu released in April 2023 indicates four key capabilities: open product experience definition for automakers, open independent experience evolution, open full-cycle OTA services, and open co-creation with car manufacturing partners. Freetech takes the ODIN intelligent driving digital base as the pillar and deploys products and solutions in each module, providing modular services.

20120114.gifThe product iteration is fast and responds to the local market needs more quickly. Examples include Haomo.AI's HPilot, a passenger car driving assistance solution that has undergone six OTA updates since its release in 2020 and has been iterated to HPilot 3.0, with its advanced intelligent driving capabilities covering three major scenarios: highway, parking, and city open roads.

20120114.gifWith regard to the adaptability of chip platforms, some suppliers can cover a number of mainstream chip platforms of NVIDIA, TI, Horizon Robotics and the like. In HoloMatic’s case, the platforms it has adapted or is adapting to include TI TDA4, Huawei MDC610, Horizon Journey 2/Journey 3/Journey 5, and NVIDIA Orin.

The mass adoption of driving-parking integration starts in 2023.

Starting from 2023, driving-parking integrated solutions enter the stage of mass adoption. According to the planning of suppliers, there are up to 20 mass production projects from 2023 to 2024.
 
For example, Aptiv’s driving-parking integrated solution launched in April 2023 can be divided into Core and Pro versions by configuration. Wherein, the sensing system of the Pro version packs Aptiv’s next-generation 4D imaging radar, and thus enables NOA and VPA functions. Its driving-parking integrated domain controller solution will be mass-produced and become available in 2024.
 
Amphiman 3000, Zongmu Technology's driving-parking integrated solution unveiled in July 2022, is based on one J3 chip, and supports the basic configuration of 1R5V12U, which can be extended to 3R5V12U or 5R5V12U. This solution enables HWA/ALC driving function, APA/RPA parking function, AVM (around view monitor)/reversing camera, power-duration curve (PDC) optimization, backtrack, and customized parking spaces. The solution is scheduled to be mass-produced in 2023.  
 
Hong Jing Drive's driving-parking integrated solution introduced in December 2022 is based on one J3 chip and supports 5R5V12U. This solution enables NOP-H driving and APA/remote parking functions. In the future, it can be upgraded to support home-zone parking assist. It is also expected to be spawned in 2023.  

Driving-parking Integrated Solutions Planned for Mass Production, 2023-2024 (Part)

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According to OEMs’ planning, a number of models equipped with driving-parking integrated solutions will be available on market in 2023 and beyond.
 
For example, in 2023, Chery EXEED VX (Lanyue) with iDC Mid Domain Controller is already on sale; the GAC Hyper GT with HoloMatic’s driving-parking integrated intelligent driving system has been launched on market; BYD will sell a model in cooperation with Horizon Robotics (Journey 5); Great Wall Motor will launch the new Mocha DHT-PHEV and the WEY Blue Mountain both equipped with HPilot 3.0; the new Voyah FREE with the Apollo Highway Driving Pro solution will be available on market in H2 2023. In 2024, FAW Hongqi E001 and E202 are expected to be mass-produced and will pack a driving-parking integrated domain controller based on the Huashan-2 A1000L series chips. In addition, Dongfeng Passenger Vehicle's first all-electric sedan and first all-electric SUV, as well as several SOL-branded production models, will also bear the Huashan II A1000 chips. 
 
Driving-parking integrated solutions that emphasize perception over maps are becoming mainstream.  

At present, Haomo.AI, IM Motor, Li Auto, Baidu, Pony AI, QCraft.AI, AutoBrain, DeepRoute.AI and DJI among others have revealed driving-parking integrated solutions with “more weight on perception, less weight on maps.
 
For example, HPilot 3.0, a city NOA product Haomo.AI unveiled in April 2022, supports 5R12V12U2L, and relies on the LiDAR + radar + camera perception capability, riding itself of HD maps. This solution enables such functions as automatic lane change for overtaking, traffic signal recognition and vehicle control, complex intersection passing, and unprotected left/right turn in urban environments. Haomo.AI’s timing-based Transformer model allows for virtual real-time BEV mapping, bringing more stable and accurate perception outputs. Additionally, Haomo.AI also puts forward introduction of Transformer into its MANA data intelligence system, and gradual use of it in real road perception tasks, including obstacle detection, lane line detection, drivable area segmentation, and traffic sign recognition.  

Furthermore, Haomo.AI forged a partnership with Navinfo in April 2023. Navinfo will help Haomo.AI to implement the plan of launching City NOH in 100 cities in an orderly manner in 2024.
 
In March 2023, DeepRoute.AI announced the D-AIR, a driving-parking integrated product based on Driver 3.0 (DeepRoute-Driver 3.0) technology framework. This solution supports 3R7V, and is free from HD maps through the emphasizing perception + navigation map approach. It enables highway NOA and basic urban assistance functions such as ACC, LCC, ILC, AEB and APA. Wherein, Driver 3.0 can perceive the fine road information covered by HD maps, including lane lines, traffic signals, road signs and warning signs. Moreover, Driver 3.0 can locate the vehicle in real time, and accurately judge the lane where the vehicle is and the distance from the adjacent lane line.

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1. Overview of Driving-parking Integration
1.1 Definition and Installations
1.2 Development Drivers
1.3 Comparison between Low/Medium/High-level Solutions
1.4 Architecture Evolution
1.5 Comparison between Multi-chip and Single-Chip Configuration
1.5.1 Multi-vendor Chip Solution Combination 
1.5.2 Requirements for Single SoC Adaptation to Driving-parking Integration
1.5.3 Can Single SoC or Built-in MCU Replace an External MCU?
1.6 Major Players in Driving-parking Integration Industry Chain, Industrial Division and Competitive Advantages & Disadvantages
1.7 Installations of Driving-parking Integration
1.7.1 Installations and Installation Rate of Driving-parking Integration, 2021-2023   
1.7.2 Ranking of Suppliers by Market Share, 2021-2023  
1.7.3 Installation Structure of Driving-parking Integration by Computing Power, 2021-2023 
1.7.4 Installations and Installation Rate of Driving-parking Integration by Price, 2021-2023    
1.7.5 Installations and Installation Rate of Driving-parking Integration, 2021-2030E 
 
2. Development Trends of Driving-parking Integration Market 
2.1 Trend 1
2.1.1 Diversified and Open Cooperation Model Cases (1)
2.1.2 Diversified and Open Cooperation Model Cases (2)
2.1.3 Diversified and Open Cooperation Model Cases (3) 
2.1.4 Impact on Industry Chain Parties (OEMs, Tier 1 Suppliers, Chip Vendors) under Diversified and Open Cooperation Models
2.1.5 Comparison between Four Main Cooperation Models Derived from Diversified and Open Cooperation Models
2.1.6 Vendors’ Full-Stack Integrated Development Solutions May Become Mainstream in Low/Medium Computing Power Markets
2.1.7 Comparison of Layout and Mass Production between Driving-parking Integrated & Software and Hardware Integrated Full-stack Developers
2.1.8 Cooperation Model Cases: Challenges in the Cooperation Model of Horizon Robotics
2.2 Trend 2
2.3 Trend 3
2.4 Trend 4
2.4.1 City NOA Solution Cases that Emphasize Perception over Maps (1)
2.4.2 City NOA Solution Cases that Emphasize Perception over Maps (2)
2.4.3 City NOA Solution Cases that Emphasize Perception over Maps (3)
2.4.4 Highway NOA Solution Cases that Emphasizes Perception over Maps (4) 
2.4.5 Highway NOA Solution Cases that Emphasizes Perception over Maps (5) 
2.4.6 Driving-parking Integrated Solution Case that Emphasizes Perception over Maps (6)  
2.5 Trend 5
2.5.1 Summary on Single SoC Driving-parking Integrated Solutions
2.5.2 The Implementation of Single SoC Scenarios will Be Phased in
2.6 Trend 6
2.6.1 Data-driven Product Iteration and Optimization Cases (1)
2.6.2 Data-driven Product Iteration and Optimization Cases (2)
2.6.3 Data-driven Product Iteration and Optimization Cases (3) 
2.7 Trend 7
2.8 Trend 8
2.8.1 Cases of Evolving into Cockpit-driving Integration by Integrating with the Cockpit Domain (1)
2.8.2 Cases of Evolving into Cockpit-driving Integration by Integrating with the Cockpit Domain (2)
2.8.3 Cases of Evolving into Cockpit-driving Integration by Integrating with the Cockpit Domain (3)
2.8.4 Cases of Evolving into Cockpit-driving Integration by Integrating with the Cockpit Domain (4) 
  
3. Driving-parking Integrated Chip Vendors
3.1 Comparison of Parameters and Mass Production of Driving-parking Integrated Chips between 6 Vendors 

3.2 How Chip Vendors Help OEMs Realize Rapid Mass Production of Driving-parking Integrated Solutions
 
3.3 Horizon Robotics
3.3.1 Profile
3.3.2 Journey Series Chip Product Roadmap
3.3.3 Driving-parking Integrated Chip: Journey 3
3.3.4 Driving-parking Integrated Chip: Journey 5
3.3.5 Mainstream Driving-parking Domain Control Solutions Based on Journey 3/5
3.3.6 Advantages of Journey Series Chips
3.3.7 Intelligent Driving Development Platform
3.3.8 Development Tool and Infrastructure – OpenExplorer Toolchain
3.3.8 Development Tool and Infrastructure – AIDI ? Development Cloud Infrastructure
3.3.8 Development Tool and Infrastructure – TogetheROS·Auto ? Development Kit
3.3.9 Driving-parking Integrated Domain Controller Platform Eco-partners
3.3.10 Cooperation Models
3.3.11 Cooperation Dynamics
 
3.4 TI
3.4.1 Profile
3.4.2 Driving-parking Integrated Chip: TDA4VM
3.4.3 Realization of Dual-TDA4 Driving-parking Integrated Solution
3.4.4 Realization of Single-TDA4 Driving-parking Integrated Solution
3.4.5 Advantages of TDA4 Series Chips
3.4.6 Cooperation Dynamics
 
3.5 NVIDIA
3.5.1 Profile
3.5.2 Chip Product Portfolios
3.5.3 Driving-parking Integrated SoC: Orin
3.5.4 Orin System Architecture
3.5.5 Advantages of Orin 
3.5.6 Software Development Kit
3.5.7 Cooperation Model & Dynamics
 
3.6 Black Sesame Technologies
3.6.1 Profile
3.6.2 Driving-parking Integrated Chip Product Portfolios
3.6.3 A1000 Platform
3.6.4 Single-A1000L SoC Lightweight Driving-parking Integrated Reference Solution 
3.6.5 Single-A1000L SoC Advanced Driving-parking Integrated Reference Solution
3.6.6 Drive Sensing Driving-parking Integrated Solution
3.6.7 A1000 Software Architecture System
3.6.8 C1200 Platform
3.6.9 Typical Automotive Applications Based on C1200
3.6.10 Chip Advantages
3.6.11 Toolchain Development Kit and Application Support
3.6.12 "Shanhai" AI Tool Platform 
3.6.13 Cooperation Model and Eco-Partners
3.6.14 Cooperation Dynamics 
 
3.7 Ambarella
3.7.1 Profile and Major Advantages
3.7.2 Chip Product Portfolios 
3.7.3 CV72AQ Chip
3.7.4 Reference Design of CV72AQ Driving-parking Integrated Solution
3.7.5 CV3-AD Chip Introduction
3.7.6 Software Development Kit
3.7.7 Toolchain
3.7.8 Cooperation Dynamics 

3.8 Cambricon SingGo
3.8.1 Profile and Major Advantages
3.8.2 Chip Product Portfolio
3.8.3 Driving-parking Integrated Chip SD5223
3.8.4 SD5223-based Driving-parking Integrated Domain Controller Solutions
3.8.5 Development Toolchain
 
4.  Driving-parking Integrated Domain Controller Suppliers
4.1 Summary on 10 Driving-parking Integrated Domain Controller Suppliers (1)
4.1 Summary on 10 Driving-parking Integrated Domain Controller Suppliers (2) 
 
4.2 Neusoft Reach
4.2.1 Profile
4.2.2 Driving-parking Integrated Domain Controller: X-Box 4.0
4.2.3 Software Architecture of Driving-parking Integrated Domain Controller Products
4.2.4 Driving-parking Integration Equipped with Open SOA 
4.2.5 Cooperation Model
4.2.6 Cooperation Dynamics
 
4.3 Desay SV  
4.3.1 Profile
4.3.2 Evolution of Driving-parking Integrated Domain Controller Products
4.3.3 Driving-parking Integrated Domain Controller: IPU03
4.3.4 Driving-parking Integrated Domain Controller: IPU04
4.3.5 Cooperation Model & Dynamics
 
4.4 Freetech
4.4.1 Profile
4.4.2 Evolution of Driving-parking Integrated Domain Controller Products
4.4.3 Next Generation Driving-parking Integrated Domain Controllers
4.4.4 Driving-parking Integrated Domain Controller: ADC20
4.4.5 ADC20-based Driving-parking Integrated Solution
4.4.6 ADC25-based Driving-parking Integrated Solution
4.4.7 ADC30-based Driving-parking Integrated Solution
4.4.8 ADC30 OTA Updates
4.4.9 Lightweight Driving-parking Integrated Solution
4.4.10 Cooperation Model & Dynamics
 
4.5 EnjoyMove Technology
4.5.1 Profile
4.5.2 Single-J3 Driving-parking Integrated Domain Controller 
4.5.3 Driving-parking Integrated Domain Controller: DCU 3.0
4.5.4 DCU 3.0 Computing Software Platform: EMOS
4.5.5 Cooperation Model & Dynamics
 
4.6 iMotion 
4.6.1 Profile
4.6.2 Driving-parking Integrated Domain Controller Product Lineup
4.6.3 Driving-parking Integrated Domain Controller: SuperVision
4.6.4 Driving-parking Integrated Domain Controller: IDC Series
4.6.5 Driving-parking Integrated Domain Controller: IDC MID Features - Driving
4.6.6 Driving-parking Integrated Domain Controller IDC MID Features - Parking
4.6.7 Technical Strategies for Realizing All-Scenario Autonomous Driving
4.6.8 Big Data Closed-Loop System Drives All-Scenario Implementation
4.6.9 Cooperation Dynamics
 
4.7 Technomous
4.7.1 Profile
4.7.2 Driving-parking Integrated Domain Controller Product Lineup
4.7.3 Driving-parking Integrated Domain Controller: iECU 1.5
4.7.4 Driving-parking Integrated Domain Controller: iECU 3.1
4.7.5 Driving-parking Integrated Domain Controller: iECU 3.5
4.7.6 Driving-parking Integrated Domain Controller Software Platform
4.7.7 Cooperation Model & Dynamics
 
4.8 Motovis
4.8.1 Profile
4.8.2 Autonomous Driving Technology Evolution
4.8.3 Driving-parking Integration Core Technologies and Planning  
4.8.4 Driving-parking Integrated Domain Controller: Magic Pilot
4.8.5 Cooperation Dynamics
 
4.9 Jingwei HiRain
4.9.1 Profile
4.9.2 Driving-parking Integrated Domain Controller Product Lineup 
4.9.3 Driving-parking Integrated Domain Controller Product Features
4.9.4 Main Partners
 
4.10 Huawei
4.10.1 Profile
4.10.2 MDC Platform Products
4.10.3 MDC810 Platform
4.10.4 MDC Platform Characteristics
4.10.5 MDC Overall Framework Diagram
4.10.6 MDC Cooperation Model and Main Customers
4.10.7 Cooperation Dynamics
 
4.11 Foryou Group 
4.11.1 Profile
4.11.2 Driving-parking Integrated Domain Controller 
 
5. Driving-parking Integrated System Suppliers
5.1 Summary on Solutions of 21 Driving-parking Integrated System Suppliers (1) 
5.1 Summary on Solutions of 21 Driving-parking Integrated System Suppliers (2)
5.1 Summary on Solutions of 21 Driving-parking Integrated System Suppliers (3)
5.1 Summary on Solutions of 21 Driving-parking Integrated System Suppliers (4)
 
5.2 Aptiv
5.2.1 Profile
5.2.2 Driving-parking Integrated Domain Controller 
5.2.3 Driving-parking Integrated Solution
 
5.3 Bosch
5.3.1 Profile
5.3.2 Driving-parking Integrated Solution Planning
 
5.4 Continental
5.4.1 Profile, Cooperation Model & Dynamics
5.4.2 Driving-parking Integrated Domain Controller Products
 
5.5 Yuanfeng Technology
5.5.1 Profile
5.5.2 R&D Investment
5.5.3 Driving-parking Integrated Solution
5.5.4 Benefits of Driving-parking Integration Technology 
5.5.5 Main Customers and Partners
 
5.6 Zongmu Technology
5.6.1 Profile
5.6.2 Driving-parking Integrated Product Lineup and Key Benefits
5.6.3 Driving-parking Integrated Solution: Positioning and Key Features of the Amphiman 3000
5.6.4 Driving-parking Integrated Solution: Parking Functional Performance of Amphiman 3000
5.6.5 Driving-parking Integrated Solution: Driving Perception and Functional Support of Amphiman 3000 
5.6.6 Driving-parking Integrated Solution: ADAS Performance Indicators of Amphiman 3000 
5.6.7 Driving-parking Integrated Solution: Key Features and Cooperation Model of Amphiman 8000
5.6.8 Partners and Cooperation Dynamics  
 
5.7 Yihang.AI
5.7.1 Profile
5.7.2 Driving-parking Integrated Product Lineup and Key Benefits
5.7.3 Single-SOC Driving-parking Integrated Lite Solution 
5.7.4 Driving-parking Integrated Solution Flagship Version (NOA)
5.7.5 Algorithm Model of NOA Driving-parking Integrated Solution
5.7.6 All-scenario Driving-parking Integrated Solution
5.7.7 Cooperation Model & Dynamics 
 
5.8 Hong Jing Drive 
5.8.1 Profile
5.8.2 Main Advantages
5.8.3 Domain Controller Product Lineup
5.8.4 Single-J3 Driving-parking Integrated Domain Controller: Hyperware 2.5
5.8.5 Software Products System
5.8.6 NOP Driving-parking Integrated Solution Product Lineup
5.8.7 NOP Driving-parking Integrated Solution: HyperPilot 2.0
5.8.8 NOP Driving-parking Integrated Solution: System Architecture and Highlights of HyperPilot 2.0
5.8.9 Cooperation Dynamics 
 
5.9 HoloMatic
5.9.1 Profile
5.9.2 Driving-parking Integrated Full-stack Functional Software
5.9.3 Driving-parking Integrated Domain Controller Product Lineup
5.9.4 Key Features and Advantages of Driving-parking Integrated Products
5.9.5 Driving-parking Integrated Domain Controller: HoloArk 2.0
5.9.6 Domain Controller Products with Built-in HoloMatic’s Proprietary Autosar Software 
5.9.7 Cooperation Model & Dynamics
 
5.10 MAXIEYE
5.10.1 Profile
5.10.2 Main Advantages
5.10.3 Product Lineup
5.10.4 Driving-parking Integrated Solution: MAXIPILOT2.0-PRO
5.10.5 MAXIPILOT?2.0 Platform Deploys BEV Transfomer Network
5.10.6 Driving-parking Integrated Solution: MAXIPLIOT3.0-MAX
5.10.7 Main Customer and Cooperation Dynamics
 
5.11 MINIEYE
5.11.1 Profile
5.11.2 Driving-parking Integrated Product Lineup (Based on Journey Series Chips)
5.11.3 Overview of Driving-parking Integrated Products (Based on Journey Series Chips)
5.11.4 Driving-parking Integrated Product Lineup (Based on TI Series Chips)
5.11.5 Overview of Driving-parking Integrated Products (Based on TI Series Chips) 
5.11.6 Main Customers and Cooperation Dynamics
 
5.12 AutoBrain
5.12.1 Profile
5.12.2 Single-SoC Driving-parking Integrated Domain Controller Product Matrix 
5.12.3 Single-SoC Driving-parking Integrated Solution and Key Features
5.12.4 Key Benefits of Driving-parking Integration (1)
5.12.4 Key Benefits of Driving-parking Integration (2) 
5.12.5 Partners and Dynamics
 
5.13 Nullmax
5.13.1 Profile and Main Advantages
5.13.2 Driving-parking Integrated Products Matrix
5.13.3 Features of Driving-parking Integrated Solution 
5.13.4 Platform-based BEV-AI Architecture Supports Driving-parking Integration 
5.13.5 Self-developed Full-stack Autonomous Driving Brain: MAX
5.13.6 Driving-parking Integrated Solution Adopts Self-developed Middleware MaxOS 
5.13.7 Data Closed-Loop Capabilities of Driving-parking Integrated Solutions
5.13.8 Self-built Open Source Target Datasets 
5.13.9 Partners and Dynamics
 
5.14 Haomo.AI 
5.14.1 Profile
5.14.2 Domain Controller "Little Magic Box" Product Roadmap
5.14.3 HPilot Product Roadmap
5.14.4 Driving-parking Integrated Intelligent Driving System: HPilot2.0
5.14.5 Driving-parking Integrated Intelligent Driving System: HPilot3.0
5.14.6 Traffic Signal Recognition and Lane Line Recognition Capabilities of HPilot3.0
5.14.7 Future Planning for HPilot
5.14.8 MANA Data Intelligence System Empowers Iteration of HPilot Autonomous Driving Capabilities
5.14.9 Development Strategy and Cooperation Model
5.14.10 Cooperation Dynamics
 
5.15 Luxshare
5.15.1 Profile
5.15.2 Driving-parking Integrated Solution Products and Planning
 
5.16 DJI
5.16.1 Profile
5.16.2 Lingxi Intelligent Driving System 
5.16.3 The Newest Intelligent Driving Solution
 
5.17 Baolong Automotive
5.17.1 Profile
5.17.2 Driving-parking Integrated Product Lineup
5.17.3 Driving-parking Integrated Solution: V-SEE 1.0
5.17.4 Driving-parking Integrated Solution: V-SEE 2.0
5.17.5 Driving-parking Integrated Solution: V-SEE 3.0
5.17.6 Cooperation Model
 
5.18 SenseTime
5.18.1 Profile
5.18.2 Driving-parking Integrated Solution Product Lineup
5.18.3 Features of SenseAuto Lowly-configured Driving-parking Integrated Low-end Solution 
5.18.4 Features of SenseAuto Medium-configured Driving-parking Integrated M Solution
5.18.5 Features of SenseAuto Highly-configured Driving-parking Integrated Solution 
5.18.6 Driving-parking Integrated Solution Relying on BEV Surround View Perception Capabilities  
 
5.19 Voyager Technology
5.19.1 Profile
5.19.2 Driving-parking Integrated Products
 
5.20 Novauto
5.20.1 Profile
5.20.2 Intelligent Driving Computing Chip: Jingzhe R1
5.20.3 Driving-parking Integrated Solution Product Lineup
5.20.4 Advanced Driving-parking Integrated Reference Solution 
5.20.5 Lightweight Driving-parking Integrated Reference Solution 
5.20.6 Cooperation Model
 
5.21 Baidu
5.21.1 Profile
5.21.2 Driving-parking Integrated Hardware Platform
5.21.3 Driving-parking Integrated Intelligent Driving Solution ANP Prototype
5.21.4 Driving-parking Integrated Intelligent Driving Solution Product Lineup
5.21.5 Driving-parking Integrated Intelligent Driving Solution: ANP2.0
5.21.6 Driving-parking Integrated Intelligent Driving Solution: ANP3.0
5.21.7 Apollo City Drive Max Software and Hardware Solutions
5.21.8 Apollo Highway Driving Pro Solution 
5.21.9 Apollo Highway Driving Pro Software and Hardware Solutions
5.21.10 Cooperation Model & Dynamics
 
5.22 Qcraft.AI
5.22.1 Profile
5.22.2 Driving-parking Integrated Solution Product Lineup
5.22.3 City NOA
5.22.4 Main Advantages
5.22.5 Intelligent Automatic Data Closed-loop Toolchain
 
5.23 Pony.AI
5.23.1 Profile
5.23.2 Core Advantages
5.23.3 Autonomous Driving Domain Controller Product Lineup
5.23.4 Driving-parking Integrated Intelligent Driving Solution
5.23.5 Pony Classic Highway NOA Solution
5.23.6 Autonomous Driving Data Closed-loop Toolchain
 
5.24 DeepRoute.AI
5.24.1 Profile
5.24.2 Driving-parking Integrated Product Lineup
5.24.3 Driving-parking Integrated Product: D-PRO
5.24.4 Driving-parking Integrated Product: D-AIR
 
6. Driving-parking Integrated Solutions of Main OEMs
6.1 Hyper GT
6.2 Blue Mountain DHT-PHEV
6.3 Baojun Yep
6.4 Chery EXEED VX (Lanyue) 
6.5 HYCAN V09
6.6 ARCFOX α Hi Version
6.7 ZEEKR 009
6.8 Li Auto L9
6.9 Neta S
6.10 Xpeng G9
 

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