Table of Content

Definitions

1 Overview of AI-Defined Vehicles
1.1 AI-Defined Vehicles vs. Software-Defined Vehicles (1)
1.1 AI-Defined Vehicles vs. Software-Defined Vehicles (2)
1.2 Three Key Elements of AI-Defined Vehicles (1)
1.2 Three Key Elements of AI-Defined Vehicles (2)
1.3 AI Is Reshaping the Automotive Industry Pattern
1.4 Transportation Industry Changes Brought by AI-Defined Vehicles
1.5 Human-Machine Cooperation Models in the Era of AI-Defined Vehicles
1.6 AI-Defined Vehicles Drives Changes in Urban Governance Models
1.7 AI-Defined Vehicles Accelerates the Arrival of Future Transportation Modes
1.8 Challenges in AI-Defined Vehicles and Solutions
1.8.1 Challenges in AI-Defined Vehicles and Solutions (1): Technology
1.8.2 Challenges in AI-Defined Vehicles and Solutions (2): Social Ethics
1.8.3 Challenges in AI-Defined Vehicles and Solutions (3): Industry Standards
1.8.4 Challenges in AI-Defined Vehicles and Solutions (4): Laws and Regulations


2 OEMs’ AI Infrastructure Layer Layout: Data + Computing Power
2.1 AI-Defined Vehicle Infrastructure Layer: Data
2.1.1 AI Applications in Vehicle Data Collection, Transmission, and Storage
2.1.2 AI Applications in Vehicle Data Processing, Annotation, and Training
2.1.3 Cases of AI Application in OEMs’ Data Closed-Loop (1)
2.1.3 Cases of AI Application in OEMs’ Data Closed-Loop (2)
2.1.4 Summary of OEMs’ AI Data Closed-Loop Capabilities
2.1.5 Cases of AI Application in Suppliers’ Data Closed-Loop Products (1)
2.1.5 Cases of AI Application in Suppliers’ Data Closed-Loop Products (2)
2.1.5 Cases of AI Application in Suppliers’ Data Closed-Loop Products (3)
2.1.6 Summary of AI Application in Suppliers’ Data Closed-Loop Products (1)
2.1.6 Summary of AI Application in Suppliers’ Data Closed-Loop Products (2)
2.1.7 Supported by AI Technology, the Ultimate Form of Data Closed-Loop May Be "Self-Evolving System"
2.1.8 Suppliers’ AI Data Annotation Application Cases (1)
2.1.8 Suppliers’ AI Data Annotation Application Cases (2)
2.1.9 Summary of Suppliers’ AI Data Annotation Products (1)
2.1.9 Summary of Suppliers’ AI Data Annotation Products (2)

2.2 Data Is the Core Raw Material for AI Technology
2.2.1 Data Has Evolved from an Auxiliary Resource to the Core Material for AI Foundation Models (1)
2.2.1 Data Has Evolved from an Auxiliary Resource to the Core Material for AI Foundation Models (2)
2.2.2 The Scale and Quality of Data Determine Model Performance

2.3 AI-Defined Vehicle Infrastructure Layer: Cloud Computing Power
2.3.1 Requirements for Cloud Computing Power in AI Technology Application and Solutions
2.3.2 How OEMs Build Cloud Computing Power Required by AI (1)
2.3.2 How OEMs Build Cloud Computing Power Required by AI (2)
2.3.3 Cases of OEMs Collaborating with Third Parties to Build Cloud Computing Power Required by AI
2.3.4 Summary of Chinese OEMs’ Cloud Computing Power Platforms (Partial)

2.4 AI-Defined Vehicle Infrastructure Layer: Vehicle Computing Power
2.4.1 Requirements for Vehicle Computing Power in AI Technology Applications and Solutions
2.4.2 How OEMs Build Vehicle Computing Power Required by AI
2.4.3 Cases of OEMs Developing In-House Vehicle AI Computing Chips (1)
2.4.3 Cases of OEMs Developing In-House Vehicle AI Computing Chips (2)
2.4.3 Cases of OEMs Developing In-House Vehicle AI Computing Chips (3)
2.4.4 Summary of OEMs’ Self-developed Vehicle Computing Chips


3 OEMs’ AI Model Layer Layout
3.1 Overview of Application of AI Foundation Models in the Automotive Sector
3.1.1 Definition and Characteristics of AI Foundation Models
3.1.2 Classification of AI Foundation Models and Their Applications in the Automotive Sector
3.1.3 Application of AI Foundation Models in Different Vehicle Layers (1)
3.1.3 Application of AI Foundation Models in Different Vehicle Layers (2)
3.1.4 Cockpit-Driving Integration Central Computing Architecture Provides A Favorable Environment for Implementation of AI-Defined Vehicles (1)
3.1.4 Cockpit-Driving Integration Central Computing Architecture Provides A Favorable Environment for Implementation of AI-Defined Vehicles (2)

3.2 Requirements of AI Foundation Models in Vehicle Chips
3.2.1 Deployment of AI Foundation Models on the Terminal Will Continue to Drive Exponential Growth in Vehicle Chip Computing Power Demand
3.2.2 Deployment of AI Foundation Models on the Terminal Calls for High-Compute, Low-Power Compute-in-Memory Chips
3.2.3 Distillation and Compression of AI Foundation Models Can Lower Vehicle Computing Power Requirements
3.2.4 Application Cases of Distillation and Compression of AI Foundation Models
3.2.5 Summary of Vehicle Chips Capable of Running AI Foundation Models

3.3 Applications of AI Foundation Models in Vehicle Operating Systems
3.3.1 Impacts of AI Foundation Models on Vehicle Operating Systems (1)
3.3.1 Impacts of AI Foundation Models on Vehicle Operating Systems (2)
3.3.1 Impacts of AI Foundation Models on Vehicle Operating Systems (3)
3.3.1 Impacts of AI Foundation Models on Vehicle Operating Systems (4)
3.3.2 Cases of AI Large Model Application in Operating Systems (1)
3.3.2 Cases of AI Large Model Application in Operating Systems (2)
3.3.2 Cases of AI Large Model Application in Operating Systems (3)
3.3.2 Cases of AI Large Model Application in Operating Systems (4)
3.3.3 AI Foundation Models Can Be Used to Generate Autosar Tests

3.4 Application of AI Foundation Models in Intelligent Driving
3.4.1 Application of AI Foundation Models in Intelligent Driving (1)
3.4.1 Application of AI Foundation Models in Intelligent Driving (2)
3.4.2 Generative Simulation Technology for AI Foundation Models Improves Realism of Driving Simulation Systems and Enriches Simulation Scenarios (1)
3.4.2 Generative Simulation Technology for AI Foundation Models Improves Realism of Driving Simulation Systems and Enriches Simulation Scenarios (2)
3.4.2 Generative Simulation Technology for AI Foundation Models Improves Realism of Driving Simulation Systems and Enriches Simulation Scenarios (3)
3.4.2 Generative Simulation Technology for AI Foundation Models Improves Realism of Driving Simulation Systems and Enriches Simulation Scenarios (4)
3.4.3 Application Cases of Generative Simulation Technology for AI Foundation Models (1)
3.4.3 Application Cases of Generative Simulation Technology for AI Foundation Models (2)
3.4.4 Application of AI Foundation Models in Intelligent Driving Perception (1)
3.4.4 Application of AI Foundation Models in Intelligent Driving Perception (2)
3.4.5 Cases of Application of AI Foundation Models in Intelligent Driving Perception by OEMs (1)
3.4.5 Cases of Application of AI Foundation Models in Intelligent Driving Perception by OEMs (2)
3.4.5 Cases of Application of AI Foundation Models in Intelligent Driving Perception by OEMs (3)
3.4.5 Cases of Application of AI Foundation Models in Intelligent Driving Perception by OEMs (4)
3.4.6 Cases of Application of AI Foundation Models in Intelligent Driving Perception by Suppliers (1)
3.4.6 Cases of Application of AI Foundation Models in Intelligent Driving Perception by Suppliers (2)
3.4.6 Cases of Application of AI Foundation Models in Intelligent Driving Perception by Suppliers (3)
3.4.7 Application of AI Foundation Models in Intelligent Driving Decision (1)
3.4.7 Application of AI Foundation Models in Intelligent Driving Decision (2)
3.4.8 Cases of Application of AI Foundation Models in Intelligent Driving Decision by OEMs (1)
3.4.8 Cases of Application of AI Foundation Models in Intelligent Driving Decision by OEMs (2)
3.4.9 Cases of Application of AI Foundation Models in Intelligent Driving Decision by Suppliers (1)
3.4.9 Cases of Application of AI Foundation Models in Intelligent Driving Decision by Suppliers (2)
3.4.10 Trends in Application of AI Foundation Models in Intelligent Driving (1)
3.4.10 Trends in Application of AI Foundation Models in Intelligent Driving (2)
3.4.10 Trends in Application of AI Foundation Models in Intelligent Driving (3)

3.5 Application of AI Foundation Models in Intelligent Cockpit and Interaction
3.5.1 Application of AI Foundation Models in Intelligent Cockpit: AI-Defined Cockpit vs. Software-Defined Cockpit
3.5.2 Application Scenarios of AI Foundation Models in Intelligent Cockpit
3.5.3 Application of AI Foundation Models in Intelligent Cockpit Interaction Design: Enabling Emotional Interaction (1)
3.5.3 Application of AI Foundation Models in Intelligent Cockpit Interaction Design: Enabling Emotional Interaction (2)
3.5.4 Application of AI Foundation Models in Intelligent Cockpit HUD
3.5.5 Application of AI Foundation Models in Intelligent Cockpit Voice Interaction (1)
3.5.5 Application of AI Foundation Models in Intelligent Cockpit Voice Interaction (2)
3.5.6 Application of AI Foundation Models in Intelligent Cockpit Voice Interaction: Summary of Supplier Solutions
3.5.7 Application of AI Foundation Models in Intelligent Cockpit Gesture Recognition
3.5.8 Application of AI Foundation Models in Intelligent Cockpit Monitoring
3.5.9 AI Algorithms Used by AI Foundation Models in Intelligent Cockpit Monitoring
3.5.10 Cases of Application of AI Foundation Models in Intelligent Cockpit Monitoring (1)
3.5.10 Cases of Application of AI Foundation Models in Intelligent Cockpit Monitoring (2)
3.5.11 Application of AI Foundation Models in Intelligent Cockpit Personalized Services
3.5.12 Trends in Application of AI Foundation Models in Intelligent Cockpit (1)
3.5.12 Trends in Application of AI Foundation Models in Intelligent Cockpit (2)
3.5.12 Trends in Application of AI Foundation Models in Intelligent Cockpit (3)

3.6 Summary of OEMs’ AI Foundation Model Applications
3.7 Summary of Suppliers’ AI Foundation Model Applications
3.8 Summary of Mainstream AI Foundation Models in China
3.9 Challenges in Application of AI Foundation Models in the Automotive Sector and Development Trends
3.9.1 Challenges in Application of AI Foundation Models in the Automotive Sector and Solutions (1)
3.9.1 Challenges in Application of AI Foundation Models in the Automotive Sector and Solutions (2)
3.9.2 Trend 1 in Application of AI Foundation Models in the Automotive Sector
3.9.3 Trend 2 in Application of AI Foundation Models in the Automotive Sector (1)
3.9.3 Trend 2 in Application of AI Foundation Models in the Automotive Sector (2)
3.9.3 Trend 2 in Application of AI Foundation Models in the Automotive Sector (3)
3.9.4 Trend 3 in Application of AI Foundation Models in the Automotive Sector
3.9.5 Trend 4 in Application of AI Foundation Models in the Automotive Sector


4 How OEMs Apply AI in R&D, Production, Sales, Service, and Other Fields
4.1 AI Technology Empowers OEMs Across the Entire Chain: R&D, Production, Sales, Service, and Supply Chain Management (1)
4.1 AI Technology Empowers OEMs Across the Entire Chain: R&D, Production, Sales, Service, and Supply Chain Management (2)
4.2 Application of AI Technology in R&D and Design: SoC R&D and Design (1)
4.2 Application of AI Technology in R&D and Design: SoC R&D and Design (2)
4.2 Application of AI Technology in R&D and Design: SoC R&D and Design (3)
4.2 Application of AI Technology in R&D and Design: SoC R&D and Design (4)
4.3 Application of AI Technology in R&D and Design: Intelligent Cockpit Interaction
4.4 Cases of Application of AI Technology in R&D and Design
4.5 Application of AI Technology in Vehicle Production
4.6 Cases of Application of AI Technology in Vehicle Production (1)
4.6 Cases of Application of AI Technology in Vehicle Production (2)
4.7 Application of AI Technology in Vehicle Production: Summary of OEMs’ Applications (1)
4.7 Application of AI Technology in Vehicle Production: Summary of OEMs’ Applications (2)
4.8 Application of AI Technology in Sales and Service
4.9 Application of AI Technology in Sales and Service: Summary of OEMs’ Applications
4.10 How OEMs Build AI Teams (1)
4.10 How OEMs Build AI Teams (2)
4.11 Cases of OEMs Building AI Teams (1)
4.11 Cases of OEMs Building AI Teams (2)
4.11 Cases of OEMs Building AI Teams (3)


5 OEMs’ Progress and Layout in AI-Defined Vehicles
5.1 Li Auto
5.1.1 AI Layout
5.1.1 Strategy for AI (1)
5.1.1 Strategy for AI (2)
5.1.1 Strategy for AI (3)
5.1.2 AI R&D Investment and Team Building
5.1.3 AI Data Strategy (1)
5.1.3 AI Data Strategy (2)
5.1.3 AI Data Strategy (3)
5.1.3 AI Data Strategy (4)
5.1.4 AI Compute Layout (1)
5.1.4 AI Compute Layout (2
5.1.4 AI Compute Layout (3)
5.1.4 AI Compute Layout (4)
5.1.5 Autonomous Driving VLA Solution Based on End-to-end and VLM (1)
5.1.5 Autonomous Driving VLA Solution Based on End-to-end and VLM (2)
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5.1.5 Autonomous Driving VLA Solution Based on End-to-end and VLM (7)
5.1.6 Vehicle Operating System for AI (1)
5.1.6 Vehicle Operating System for AI (2)
5.1.7 Underlying Algorithms for End-to-end Autonomous Driving Solutions (1)
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5.1.7 Underlying Algorithms for End-to-end Autonomous Driving Solutions (5)
5.1.8 AI Foundation Model Training Platform: Using 4D Parallel Approach
5.1.9 AI Agent (1)
5.1.9 AI Agent (2)
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5.1.9 AI Agent (8)
5.1.9 AI Agent (9)
5.1.10 AI Multimodal Interaction Application Scenarios (1)
5.1.10 AI Multimodal Interaction Application Scenarios (2)
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5.1.10 AI Multimodal Interaction Application Scenarios (6)
5.1.11 AI Application in R&D and Production (1)
5.1.11 AI Application in R&D and Production (2)

5.2 NIO
5.2.1 AI Layout
5.2.1 Strategy for AI (1)
5.2.1 Strategy for AI (2)
5.2.1 Strategy for AI (3)
5.2.2 AI Compute Layout (1)
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5.2.2 AI Compute Layout (5)
5.2.3 Vehicle Operating System for AI (1)
5.2.3 Vehicle Operating System for AI (2)
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5.2.3 Vehicle Operating System for AI (7)
5.2.4 AI-based Autonomous Driving Solutions (1)
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5.2.4 AI-based Autonomous Driving Solutions (7)
5.2.5 AI Application in Intelligent Cockpit (1)
5.2.5 AI Application in Intelligent Cockpit (2)
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5.2.5 AI Application in Intelligent Cockpit (11)
5.2.5 AI Application in Intelligent Cockpit (12)

5.3 Xpeng
5.3.1 AI Layout
5.3.1 Strategy for AI (1)
5.3.1 Strategy for AI (2)
5.3.1 Strategy for AI (3)
5.3.1 Strategy for AI (4)
5.3.2 AI Data Strategy (1)
5.3.2 AI Data Strategy (2)
5.3.2 AI Data Strategy (3)
5.3.3 AI Compute Layout (1)
5.3.3 AI Compute Layout (2)
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5.3.3 AI Compute Layout (8)
5.3.4 Vehicle Operating System for AI (1)
5.3.4 Vehicle Operating System for AI (2)
5.3.4 Vehicle Operating System for AI (3)
5.3.4 Vehicle Operating System for AI (4)
5.3.5 AI-based End-to-end Autonomous Driving Solution (1)
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5.3.5 AI-based End-to-end Autonomous Driving Solution (6)
5.3.5 AI-based End-to-end Autonomous Driving Solution (7)
5.3.6 AI Application in Intelligent Cockpit (1)
5.3.6 AI Application in Intelligent Cockpit (2)
5.3.6 AI Application in Intelligent Cockpit (3)
5.3.6 AI Application in Intelligent Cockpit (4)
5.3.6 AI Application in Intelligent Cockpit (5)

5.4 Xiaomi Auto
5.4.1 AI Strategy
5.4.2 AI Data Strategy
5.4.3 AI Compute Layout
5.4.4 Vehicle Operating System for AI (1)
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5.4.4 Vehicle Operating System for AI (7)
5.4.4 Vehicle Operating System for AI (8)
5.4.5 AI-based Autonomous Driving Solutions (1)
5.4.5 AI-based Autonomous Driving Solutions (2)
5.4.5 AI-based Autonomous Driving Solutions (3)
5.4.5 AI-based Autonomous Driving Solutions (4)
5.4.6 AI Cockpit (1)
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5.4.6 AI Cockpit (6)

5.5 Geely
5.5.1 AI Layout
5.5.1 Strategy for AI (1)
5.5.1 Strategy for AI (2)
5.5.1 Strategy for AI (3)
5.5.1 Strategy for AI (4)
5.5.1 Strategy for AI (5)
5.5.2 AI Data Strategy (1)
5.5.2 AI Data Strategy (2)
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5.5.2 AI Data Strategy (7)
5.5.3 AI Compute Layout (1)
5.5.3 AI Compute Layout (2)
5.5.3 AI Compute Layout (3)
5.5.2 AI Data Strategy (4)
5.5.4 Vehicle Operating System for AI (1)
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5.5.4 Vehicle Operating System for AI (6)
5.5.5 AI-based Autonomous Driving Solutions (1)
5.5.5 AI-based Autonomous Driving Solutions (2)
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5.5.5 AI-based Autonomous Driving Solutions (6)
5.5.6 AI Application in Intelligent Cockpit (1)
5.5.6 AI Application in Intelligent Cockpit (2)
5.5.6 AI Application in Intelligent Cockpit (3)
5.5.6 AI Application in Intelligent Cockpit (4)
5.5.7 AI Chassis (1)
5.5.7 AI Chassis (2)
5.5.8 AI Application Cases in Production, Sales and Service
5.5.9 Xingrui Agent Platform for Production

5.6 BYD
5.6.1 AI Layout
5.6.1 Strategy for AI (1)
5.6.1 Strategy for AI (2)
5.6.1 Strategy for AI (3)
5.6.2 AI Data Strategy (1)
5.6.2 AI Data Strategy (2)
5.6.2 AI Data Strategy (3)
5.6.3 AI Compute Layout
5.6.4 AI-based Vehicle Intelligent Architecture: Xuanji Architecture
5.6.5 AI-based Autonomous Driving Solutions (1)
5.6.5 AI-based Autonomous Driving Solutions (2)
5.6.5 AI-based Autonomous Driving Solutions (3)
5.6.5 AI-based Autonomous Driving Solutions (4)
5.6.6 AI Application in Intelligent Cockpit (1)
5.6.6 AI Application in Intelligent Cockpit (2)
5.6.7 AI-powered Manufacturing

5.7 Changan
5.7.1 Digital Strategy (1)
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5.7.1 Digital Strategy (6)
5.7.2 AI-based Vehicle Operating System
5.7.3 AI-based Autonomous Driving Solutions (1)
5.7.3 AI-based Autonomous Driving Solutions (2)
5.7.3 AI-based Autonomous Driving Solutions (3)
5.7.4 AI Application in Intelligent Cockpit (1)
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5.7.4 AI Application in Intelligent Cockpit (5)
5.7.5 AI-powered Manufacturing (1)
5.7.5 AI-powered Manufacturing (2)

5.8 BAIC
5.8.1 Intelligent Cockpit AI Agent (1)
5.8.1 Intelligent Cockpit AI Agent (2)
5.8.1 Intelligent Cockpit AI Agent (3)
5.8.2 AI-based Vehicle Operating System
5.8.3 AI Application in Intelligent Cockpit (1)
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5.8.3 AI Application in Intelligent Cockpit (7)
5.8.3 AI Application in Intelligent Cockpit (8)

5.9 Great Wall Motor
5.9.1 Strategy for AI
5.9.2 AI Data Strategy (1)
5.9.2 AI Data Strategy (2)
5.9.2 AI Data Strategy (3)
5.9.3 AI Compute Layout (1)
5.9.3 AI Compute Layout (2)
5.9.3 AI Compute Layout (3)
5.9.3 AI Compute Layout (4)
5.9.4 AI-based Vehicle Operating System
5.9.5 AI-based Autonomous Driving Solutions (1)
5.9.5 AI-based Autonomous Driving Solutions (2)
5.9.5 AI-based Autonomous Driving Solutions (3)
5.9.6 AI Application in Intelligent Cockpit (1)
5.9.6 AI Application in Intelligent Cockpit (2)

5.10 Chery
5.10.1 Strategy for AI (1)
5.10.1 Strategy for AI (2)
5.10.1 Strategy for AI (3)
5.10.2 AI Data Strategy
5.10.3 AI-based Autonomous Driving Solutions (1)
5.10.3 AI-based Autonomous Driving Solutions (2)
5.10.3 AI-based Autonomous Driving Solutions (3)
5.10.3 AI-based Autonomous Driving Solutions (4)
5.10.4 AI Application in Intelligent Cockpit (1)
5.10.4 AI Application in Intelligent Cockpit (2)
5.10.4 AI Application in Intelligent Cockpit (3)

5.11 SAIC
5.11.1 Strategy for AI (1)
5.11.1 Strategy for AI (2)
5.11.1 Strategy for AI (3)
5.11.1 Strategy for AI (4)
5.11.2 AI Data Strategy (1)
5.11.2 AI Data Strategy (2)
5.11.2 AI Data Strategy (3)
5.11.2 AI Data Strategy (4)
5.11.3 Vehicle Operating System for AI (1)
5.11.3 Vehicle Operating System for AI (2)
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5.11.4 AI-based Autonomous Driving Solutions (1)
5.11.4 AI-based Autonomous Driving Solutions (2)
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5.11.5 AI Application in Intelligent Cockpit (1)
5.11.5 AI Application in Intelligent Cockpit (2)
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