Table of Content

1 Vehicle Basic Software
1.1 Automotive Operating System in Narrow Sense
1.1.1 Intelligent Vehicle software architecture includes hypervisor, system cores, middleware, functional software, and application programs
1.1.2 Intelligent Vehicle Software Ecological Framework
1.1.3 Automotive Operating System Working Process: Kernel is the core of automotive software architecture
1.1.4 Automotive Operating System Classification
1.1.5 Classification: Real-time and Non-real-time Operating Systems
1.1.6 Automotive Operating System Kernels are Divided into Three Types: Micro Kernel, Macro Kernel, and Hybrid Kernel
1.1.7 Vehicle Control Operating System and In-vehicle Operating System (1)
1.1.8 Vehicle Control Operating System and In-vehicle Operating System?2?
1.1.9 Vehicle Control Operating System and In-vehicle Operating System (3?
1.1.9 Vehicle Control Operating System and In-vehicle Operating System (3?
1.1.10 Automotive Operating System Market Size
1.1.11 RTOS (in narrow sense) Suppliers and Product List (1?
1.1.12 RTOS (in narrow sense) Suppliers and Product List?2?
1.1.13 RTOS (in narrow sense) Suppliers and Product List (3?
1.1.14 RTOS (in narrow sense) Suppliers and Product List (4?
1.1.15 Non- RTOS (in narrow sense) Suppliers and Product List (1?
1.1.16 Non- RTOS (in narrow sense) Suppliers and Product List (2?
1.1.17 Comparison of Automotive Operating System in narrow sense: QNX/ Linux / Other RTOS
1.1.18 WindRiver VxWorks Microkernel Architecture (1?
1.1.19 WindRiver VxWorks Microkernel Architecture (2?
1.1.20 Green Hills Software Integrity RTOS
1.1.21 ZTE GoldenOS Solution(1):Micro kernel and Macro kernel Technology Architecture
1.1.22 ZTE GoldenOS Solution(2): Intelligent Driving OS Solution
1.1.23 ZTE GoldenOS Solution(3): Intelligent Cockpit OS Solution

1.2 Autonomous Driving OS in Broad Sense
1.2.1 Definition
1.2.2 Evolution Trend
1.2.3 Market Size of China Autonomous Driving Operating System in Broad Sense(Middleware OS)

1.2.4 Autonomous Driving OS Layout of Suppliers
1.2.4.1 Main Autonomous Driving OS Suppliers and Product List (1)
1.2.4.2 Main Autonomous Driving OS Suppliers and Product List (2)
1.2.4.3 Main Autonomous Driving OS Suppliers and Product List (3)
1.2.4.5 Main Autonomous Driving OS Suppliers and Product List (4)
1.2.4.6 Main Autonomous Driving OS Suppliers and Product List (5)
1.2.4.7 Main Autonomous Driving OS Suppliers and Product List (6)
1.2.4.10 i-Soft Infrastructure Software AUTOSAR CP+AP Integrated Solution
1.2.4.12 UnTouch Technology High-Reliability Autonomous Driving Middleware
1.2.4.13 HoloMatic Autonomous Driving Middleware HoloSAR

1.2.5 Open Source Software Platform Autonomous Driving OS Layout
1.2.5.1 Open Source Software Platform Autonomous Driving OS Suppliers and Product List (1)
1.2.5.2 Open Source Software Platform Autonomous Driving OS Suppliers and Product List (2)
1.2.5.3 Open Source Software Platform Autonomous Driving OS Suppliers and Product List (3)
1.2.5.4 Open Source Autonomous Driving OS: Features of Baidu Apollo
1.2.5.5 Open Source Autonomous Driving OS: Apollo 7.0 Software and Hardware Architecture
1.2.5.6 Open Source Autonomous Driving OS: Function of NVIDIA Drive
1.2.5.7 Open Source Autonomous Driving OS: Horizon Micro kernel Architecture RTOS--Together OS
1.2.5.8 Open Source Autonomous Driving OS: Apex.AI OS gets Supports from Overseas OEMs
1.2.5.9 Open Source Autonomous Driving OS: Toyota Introduces Apex.OS
1.2.5.10 Open Source Autonomous Driving OS: Apex.AI Committed to Lowering the high Technical Threshold of Autosar
1.2.5.11 Open Source Autonomous Driving OS: Apex.AI Apex.OS and Apex.Autonomy
1.2.5.12 Open Source Autonomous Driving OS: The core of Apex.Middleware is Cyclone DDS and iceoryx
1.2.5.13 Open Source Autonomous Driving OS: Autoware
1.2.5.14 Open Source Autonomous Driving OS: ?Autoware All-in-one“ Open Source Software Architecture

1.2.6 Autonomous Driving OS Layout of OEMs
1.2.6.1 Autonomous Driving OS Layout of OEMs (1)
1.2.6.2 Autonomous Driving OS Layout of OEMs (2)
1.2.6.3 Autonomous Driving OS Layout of OEMs (3)
1.2.6.4 Autonomous Driving OS Layout of OEMs (4)
1.2.6.5 Autonomous Driving OS Layout of OEMs (5)
1.2.6.6 Autonomous Driving OS Layout of OEMs (6)
1.2.6.7 Autonomous Driving OS Layout of OEMs (7)
1.2.6.8 BYD OS
1.2.6.10 SAIC Z-ONE SOA Integrated Software Platform
1.2.6.11 LiOS?Li auto OS?

1.3 Intelligent Cockpit General Operating System (OS)
1.3.1 Intelligent Cockpit Operating System (Software Platform): System Framework
1.3.2 Intelligent Cockpit Operating System (Software Platform): Underlying Core OS
1.3.3 Intelligent Cockpit Operating System (Software Platform): Secondary Development Based on the Underlying OS
1.3.4 Market Share of Cockpit Operating Systems for New Vehicles
1.3.5 In-vehicle OS Will Evolve from Cockpit OS to Vehicle OS
1.3.6 Market Prospect of Intelligent Cockpit General Operating System
1.3.7 List of Intelligent Cockpit General Operating System Providers and Products (1)
1.3.8 List of Intelligent Cockpit General Operating System Providers and Products (2)
1.3.9 List of Intelligent Cockpit General Operating System Providers and Products (3)
1.3.10 List of Intelligent Cockpit General Operating System Providers and Products (4)
1.3.11 List of Intelligent Cockpit General Operating System Providers and Products (5)
1.3.12 Thundersoft Cockpit Middleware OS Software Architecture
1.3.13 Banma Zhixing AliOS Intelligent Cockpit Operating System
1.3.14 Huawei Harmony Cockpit Software Platform - HOS-A
1.3.15 Megatronix Cockpit Solution - SmartMega? OS+ (Distributed)
1.3.16 ECARX Cross-platform General Operating System Software Framework - EAS Core
1.3.17 SAIC Z-ONE SOA Software Platform
1.3.18 Geely ECARX Galaxy OS
1.3.19 Great Wall Self-developed Cockpit Operating System - GC-OS
1.3.20 VolvoCars.OS

1.4 Vehicle-cloud Integrated General Operating System (SOA Platform)
1.4.1 Background of Demand for Vehicle-cloud Integrated Architecture
1.4.2 Purpose of Deploying Vehicle-cloud Integrated SOA Software
1.4.3 Core Architecture of Vehicle Intelligent Computing Basic Platform SOA
1.4.4 Adaptability of SOA to Next-generation Autonomous Driving
1.4.5 Release of White Paper on SOA Software Architecture of Vehicle Intelligent Computing Basic Platform
1.4.6 List of Vehicle-cloud Integrated OS Providers and Products (1)
1.4.7 List of Vehicle-cloud Integrated OS Providers and Products (2)
1.4.8 List of Vehicle-cloud Integrated OS Providers and Products (3)
1.4.9 List of Vehicle-cloud Integrated OS Providers and Products (4)
1.4.10 List of Vehicle-cloud Integrated OS Providers and Products (5)
1.4.11 Vehicle-Cloud Integrated SOA Platform Layout of OEMs (1)
1.4.12 Vehicle-Cloud Integrated SOA Platform Layout of OEMs (2)
1.4.13 iSoft Vehicle-cloud Integrated Solutions
1.4.14 Z-ONE Galaxy Full Stack 4+1: "Hardware, Software, Computing, and Data"
1.4.15 Z-ONE Galaxy Full Stack SOA Software Architecture 3.0
1.4.16 Z-ONE Cloud-pipe-terminal Integrated SOA Software Platform Landed
1.4.17 SOA Software Architecture of Wind River Systems

1.5 Communication Middleware (DDS, SOME/IP, MQTT)
1.5.1 Communication Middleware: Architecture Definition
1.5.2 Communication Middleware: SOA
1.5.3 Why Do Smart Cars Need Communication Middleware?
1.5.4 Common Types of Communication Middleware (1)
1.5.5 Common Types of Communication Middleware (2)
1.5.6 Standards for Measuring the Quality of Communication Middleware
1.5.7 Development Prospects of SOME/IP & DDS
1.5.8 Mainstream Communication Middleware Suppliers and Their Product Lists (1)
1.5.9 Mainstream Communication Middleware Suppliers and Their Product Lists (1)
1.5.10 Opportunities for local communication middleware vendors
1.5.11 Architecture Diagram of Greenstone "Swift" Communication Middleware (DDS)
1.5.12 Software Framework of RTI Connext DDS
1.5.13 "Zero-copy" and "Shared Memory" Approach of Bosch ETAS "Iceoryx"

1.6 Automotive Middleware (AUTOSAR, ROS2, CyberRT)
1.6.1 Classification of Automotive Middleware: Autosar, ROS2, CyberRT
1.6.2 Middleware Solution Options for OEMs and Tier1 Suppliers (1)
1.6.3 Middleware Solution Options for OEMs and Tier1 Suppliers (2)
1.6.4 Development History and Main Features of ROS 2 (1)
1.6.5 Development History and Main Features of ROS 2 (2)
1.6.6 ROS 2 Can Be Used as Autonomous Driving Middleware, Similar to the Middleware Function of AUTOSAR AP
1.6.7 Baidu Apollo Cyber RT: Designed for Autonomous Driving
1.6.8 AUTOSAR AP and Ethernet Communication (SOME/IP) Protocol
1.6.9 Technological Revolution Route of AUTOSAR AP
1.6.10 System Architecture of AUTOSAR CP
1.6.11 Hybrid Software Architecture based on AUTOSAR CP+AP (1)
1.6.12 Hybrid Software Architecture Based on AUTOSAR CP+AP (2)
1.6.13 Major Global AUTOSAR Suppliers and Their Product Lists (1)
1.6.14 Major Global AUTOSAR Suppliers and Their Product Lists (2)
1.6.15 Major Global AUTOSAR Suppliers and Their Product Lists (3)
1.6.16 Major Chinese AUTOSAR Suppliers and Their Product Lists (1)
1.6.17 Major Chinese AUTOSAR Suppliers and Their Product Lists (2)
1.6.18 Major Chinese AUTOSAR Suppliers and Their Product Lists (3)
1.6.19 AUTOSAR CP and Toolchain of iSoft Infrastructure Software
1.6.20 AUTOSAR AP and Toolchain of iSoft Infrastructure Software
1.6.21 AUTOSAR CP+AP Integrated Solutions of iSoft Infrastructure Software
1.6.22 Automotive Basic Software Ecosystem of iSoft Infrastructure Software
1.6.23 AUTOSAR AP of Shanghai HingeTech Is Applied to TSN Ethernet Multi-domain Controllers

1.7 Hypervisor
1.7.1 Status Quo of Hypervisor Industry
1.7.2 Application of Smart Cockpit Hypervisors in China
1.7.3 Prospects of Global Automotive Hypervisor Market
1.7.4 Global Hypervisor Suppliers and Their Product Lists (1)
1.7.5 Global Hypervisor Suppliers and Their Product Lists (2)
1.7.6 Global Hypervisor Suppliers and Their Product Lists (3)
1.7.7 Global Hypervisor Suppliers and Their Product Lists (4)
1.7.8 Global Hypervisor Suppliers and Their Product Lists (5)
1.7.9 Global Hypervisor Suppliers and Their Product Lists (6)
1.7.10 Chinese Hypervisor Suppliers and Their Product Lists
1.7.11 ZlingSmart RAITE Hypervisor: System Design
1.7.12 ZlingSmart RAITE Hypervisor: Intelligent Cockpit Solution


2 Vehicle Tool Software
2.1 Automotive Electronics Software Development Tool Chain
2.1.1 Considerations for Automotive Architecture Design
2.1.2 V-model Software Development Process and Development Tools
2.1.3 Common Automotive Development Tools and Tool Chains in the Industry
2.1.4 Suppliers and Products of E/E Architecture and Platform Development Tool (1)
2.1.5 Suppliers and Products of E/E Architecture and Platform Development Tool (2)
2.1.6 Suppliers and Products of E/E Architecture and Platform Development Tool (3)
2.1.7 Suppliers and Products of E/E Architecture and Platform Development Tool (4)
2.1.8 Suppliers and Products of E/E Architecture and Platform Development Tool (5)
2.1.9 Suppliers and Products of E/E Architecture and Platform Development Tool (6)
2.1.10 Suppliers and Products of E/E Architecture and Platform Development Tool (7)
2.1.11 Suppliers and Products of E/E Architecture and Platform Development Tool (8)
2.1.12 ETAS ES830 Rapid Prototyping Module Software and Hardware Tool Chain
2.1.13 ETAS Embedded Software Development Platform Based on ASCET
2.1.14 dSPACE Autonomous Driving Development Process
2.1.15 Wind River Continuous Integration/Continuous Delivery (CI/CD) Development Model
2.1.16 Industry First Cloud-Native Platform: Wind River Studio
2.1.17 NI LabVIEW Connects with Baidu Paddle Paddle Toolchain
2.1.18 Luxoft "E/E System and SOA Software" Solution
2.1.19 Luxoft "Intelligent Driving R&D Platform" Solution

2.2 AI Deep Learning Software
2.2.1 Suppliers and Products of AI Deep Learning Software (1)
2.2.2 Suppliers and Products of AI Deep Learning Software (2)
2.2.3 Huawei AI Computing Framework MindSpore
2.2.4 Major Domestic and Foreign AI Models
2.2.5 Transformer for Large-Scale Application in Mass Production Autonomous Vehicles
2.2.6 Tesla Transformer Neural Network Enables Multi-Camera Data Fusion
2.2.7 Tesla FSD Deep Learning Code Ratio Increases
2.2.8 HAOMO.AI MANA System Adopts Transformer Neural Network
2.2.9 Deployment of the XPeng G9 Transformer Network

2.3 Data Training Dataset
2.3.1 Why to Build Dataset? (1)
2.3.2 Why to Build Dataset? (2?
2.3.3 How to Collect Data?
2.3.4 Dataset Development Trend: Evolve from Single Vehicle Intelligence to Vehicle-City Fusion
2.3.5 Huawei “ONCE” Training Dataset
2.3.6 The First CVIS Autonomous Driving Dataset “DAIR-V2X”
2.3.7 Waymo "Open" Data Training Dataset
2.3.8 Argo“Argoverse”Data Training Dataset
2.3.9 Autonomous Driving Dataset Product Comparison (1)
2.3.10 Autonomous Driving Dataset Product Comparison(2?
2.3.11 Autonomous Driving Dataset Product Comparison(3?
2.3.12 Autonomous Driving Dataset Product Comparison(4?
2.3.13 Data Training Dataset Suppliers and Product List (1)
2.3.14 Data Training Dataset Suppliers and Product List (2)
2.3.15 Data Training Dataset Suppliers and Product List (3)
2.3.16 Data Training Dataset Suppliers and Product List (4)
2.3.17 Data Training Dataset Suppliers and Product List (5)

2.4 Data Collection &Annotation Tool Software
2.4.1 Autonomous Driving Data Collection & Annotation Market Development Trend
2.4.2 Data Collection & Annotation Platform: Architecture Design
2.4.3 Data Collection & Annotation Platform: Difficulties of Data Collection
2.4.4 Data Collection & Annotation Platform: Data Collection Process and Method
2.4.5 Data Collection & Annotation Platform: Data Collection & Annotation Process
2.4.6 Data Collection & Annotation Platform: Backend Simulation of Data Collection
2.4.7 AI Data Annotation Company Ranking in China
2.4.8 Autonomous Driving Data Collection & Annotation Tool Software Suppliers and Product List (1)
2.4.9 Autonomous Driving Data Collection & Annotation Tool Software Suppliers and Product List (2)
2.4.10 Autonomous Driving Data Collection & Annotation Tool Software Suppliers and Product List (3)
2.4.11 Autonomous Driving Data Collection & Annotation Tool Software Suppliers and Product List (4)
2.4.12 Autonomous Driving Data Collection & Annotation Tool Software Suppliers and Product List (5)
2.4.13 Huawei Octopus Data Automatic Annotation Service
2.4.14 Haitian Ruisheng Autonomous Driving Data Collection & Annotation Business (1)
2.4.15 Haitian Ruisheng Autonomous Driving Data Collection & Annotation Business (2)
2.4.16 KIIS Intelligent Driving Data One-Click Analysis Software
2.4.17 Xpeng G9 Launches“XNet”
2.4.18 Xpeng Automatic Annotation System

2.5 Data Closed Loop Tools
2.5.1 Importance of Closed-loop Data for L3/L4 Autonomous Driving
2.5.2 Autonomous Driving Data Closed-loop Technologies (I): Autonomous Driving Data-driven Models
2.5.3 Autonomous Driving Data Closed-loop Technologies (II): Cloud Computing Platform Infrastructure and Big Data Processing
2.5.4 List of Autonomous Driving Data Closed-loop Providers and Products (1)
2.5.5 List of Autonomous Driving Data Closed-loop Providers and Products (2)
2.5.6 List of Autonomous Driving Data Closed-loop Providers and Products (3)
2.5.7 Autonomous Driving Data Closed-loop Cases (I): Tesla Autopilot Data Engine Framework
2.5.8 Autonomous Driving Data Closed-loop Cases (II): Waymo Data Closed-loop Platform
2.5.9 Autonomous Driving Data Closed-loop Cases (III): NVIDIA Machine Learning Platform
2.5.10 Autonomous Driving Data Closed-loop Cases (IV): Momenta Flywheel Model
2.5.11 Autonomous Driving Data Closed-loop Cases (V): EXCEEDDATA Flexible Data Acquisition Platform Solution
2.5.12 Autonomous Driving Data Closed-loop Cases (VI): Data Closed Loop Solution of Black Sesame Technologies
2.5.13 Autonomous Driving Data Closed-loop Cases (VII): Haomo.ai Data Intelligence System Product - MANA (Snow Lake) (1)
2.5.14 Autonomous Driving Data Closed-loop Cases (VII): Haomo.ai Data Intelligence System Product - MANA (Snow Lake) (2)
2.5.15 Autonomous Driving Data Closed-loop Cases (VII): Haomo.ai Data Intelligence System Product - MANA (Snow Lake) (3)
2.5.16 Autonomous Driving Data Closed-loop Cases (VII): Haomo.ai Data Intelligence System Product - MANA (Snow Lake) (4)
2.5.17 Autonomous Driving Data Closed-loop Cases (VII): Haomo.ai Data Intelligence System Product - MANA (Snow Lake) (5)

2.6 Data Desensitization Software SDK
2.6.1 Data Classification Standards in "Technical Requirements for Data Security of Telematics Information Services"
2.6.2 Regulations on Data Desensitization and Cyber Security
2.6.3 Technical Requirements and Methods for Automobile Transmission Video and Image Masking
2.6.4 List of Data Desensitization Tool Software Providers and Products (1)
2.6.5 List of Data Desensitization Tool Software Providers and Products (2)

2.7 Simulation & Testing Software
2.7.1 Autonomous Driving Simulation and Testing
2.7.2 Autonomous Driving Simulation and Testing: Processor-in-the-Loop Simulation
2.7.3 Global Mainstream Autonomous Driving Simulation Software Companies
2.7.4 Market Prospects of Autonomous Driving Simulation Test Software
2.7.5 Suppliers and Products of Autonomous Driving Simulation Software: Traffic Flow Simulation
2.7.6 Suppliers and Products of Autonomous Driving Simulation Software: Vehicle Simulation (1)
2.7.7 Suppliers and Products of Autonomous Driving Simulation Software: Vehicle Simulation (2)
2.7.8 Suppliers and Products of Autonomous Driving Simulation Software: Vehicle Simulation (3)
2.7.9 Autonomous Driving Simulation Case (1): Macro, Meso and Micro Traffic Flow Planning and Simulation of 51WORLD
2.7.10 Autonomous Driving Simulation Case (2): JUN Sim Cloud

2.8 Autonomous Driving Typical Scenario Library
2.8.1 Building Process of Autonomous Driving Scenario Library
2.8.2 Suppliers and Standardization Organizations for Autonomous Driving Scenario Library (1)
2.8.3 Suppliers and Standardization Organizations for Autonomous Driving Scenario Library (2)
2.8.4 Autonomous Driving Scenario Library Case (1): Large-scale Autonomous Driving Scenario Library Based on Vehicle-Infrastructure Cooperation Cloud Service
2.8.5 Autonomous Driving Scenario Library Case (2): Apollo Autonomous Driving Scenario Library and DevOps Toolchain

2.9 Chip Development Tool Chain
2.9.1 Product Layout of Chip Development Tool Chain (1)
2.9.2 Product Layout of Chip Development Tool Chain (2)
2.9.3 Product Layout of Chip Development Tool Chain (3)
2.9.4 “Horizon OpenExplorer Platform” AI Development Platform
2.9.5 Data Closed-loop Development Platform: AIDI
2.9.6 Black Sesame Chip Development Tool: Shanhai AI Tool Platform
2.9.7 SemiDrive AD Platform: UniDrive
2.9.8 “HUAWEI Octopus” Open AD Platform Architecture (1)
2.9.9 “HUAWEI Octopus” Open AD Platform Architecture (2)
2.9.10 NVIDIA New Generation Autonomous Vehicle Platform: Drive Hyperion 8
2.9.11 NVIDIA AD Full Stack Tool Chain
2.9.12 NVIDIA AD Software Stack: NVIDIA DRIVE ? OS
2.9.13 NVIDIA AD Software Stack: NVIDIA DRIVE ? OS
2.9.14 NVIDIA AD Software Stack: Functions (1)
2.9.15 NVIDIA AD Software Stack: Functions (2)
2.9.16 NVIDIA AD Software Stack: Functions (3)
2.9.17 NVIDIA DRIVE AP2X Software Solutions
2.9.18 NVIDIA Autonomous Driving Simulation Platform: Drive Sim Omniverse Replicator
2.9.19 NVIDIA AI Assisted Driving Platform: Drive Chauffeur
2.9.20 Tesla Dojo Supercomputing Training Platform: Self-developed 7nm AI Training Chip D1

2.10 ADAS Performance Evaluation Software
2.10.1 List of ADAS Power Consumption and Performance Evaluation Software Providers and Products
2.10.2 Vehicle ADAS Power Consumption Evaluation Software Requirements
2.10.3 Vehicle ADAS Performance Evaluation Tool: ViCANdo Extended Tool Set (ICVT)

2.11 ADAS Data Logging Software
2.11.1 ADAS Data Recording Requirements (Validation Test Link)
2.11.2 ADAS Data Logging Requirements (Post-delivery)
2.11.3 Definition of L3 Autonomous Driving System
2.11.4 What Are The Requirements of L3 System for Data Logging?
2.11.5 List of Data Logging Tool Software Providers and Products (1)
2.11.6 List of Data Logging Tool Software Providers and Products (2)
2.11.7 NI Completes ADAS Verification by Cooperating with Others
2.11.8 Vector’s Solution for ADAS Data Logging System

2.12 Automotive Software Test System Software
2.12.1 Automotive Software Test Evaluation Models and Standards
2.12.2 Automotive Software Test Steps
2.12.3 List of Automotive software Test Service Providers and Products (1)
2.12.4 List of Automotive software Test Service Providers and Products (2)
2.12.5 List of Automotive software Test Service Providers and Products (3)
2.12.6 List of Automotive software Test Service Providers and Products (4)


3 Application and Algorithm Software - Autonomous Driving
Preface: Overall Software and Hardware Architecture of Autonomous Driving

3.1 Development Trends of Autonomous Driving Algorithms
3.1.1 Classification of Autonomous Driving Algorithms (1)
3.1.2 Classification of Autonomous Driving Algorithms (2)
3.1.3 Types and Development Cycle of ADAS/AD Algorithm Software
3.1.4 Deep Learning Models and Data Algorithms: The Divine Move in Autonomous Driving
3.1.5 Deep Learning Models and Data Algorithms: Data-driven ADAS Development Flow Chart
3.1.6 Perception Algorithms: Pre-Fusion (Tightly Coupled) Combines Multiple Sensors
3.1.7 Perception Algorithms: Post-fusion (Loosely Coupled) Re-fusions Sensor Results
3.1.8 Perception Algorithms: Tesla Perception Algorithm Structure Is Divided Into Four Parts
3.1.9 Decision Algorithms: Need to Rely on Efficient AI Models and Massive Training Data
3.1.10 Decision Algorithms: Driving Situational Cognition
3.1.11 Decision Algorithms: Planning Control Core Objectives and Demands
3.1.12 Various Levels of Autonomous Driving Solutions and Penetration Rates

3.2 Passenger Car Autonomous Driving Algorithm Software
3.2.1 List of L2+ Driving-Parking Integration Algorithm Providers and Products
3.2.2 List of L3/L4 Driving-Parking Integration Algorithm Providers and Products (1)
3.2.3 List of L3/L4 Driving-Parking Integration Algorithm Providers and Products (2)
3.2.4 List of L3/L4 Driving-Parking Integration Algorithm Providers and Products (3)
3.2.5 List of L3/L4 Driving-Parking Integration Algorithm Providers and Products (4)
3.2.6 SPACE Self-develops SPACE-OS System, Having Launched L3 Parking Products
3.2.7 Valeo L3 and L3+ Autonomous Driving Solutions
3.2.8 Safety Level Distribution of Main ECU and Backup ECU in Valeo L3+ Autonomous Driving
3.2.9 Huawei Full Stack Autonomous Driving Solution (ADS)
3.2.10 AICC iVBB2.0-based Family Products
3.2.11 AICC iVBB2.0-based "Sensing Computing Separation" Solution
3.2.12 Algorithm Porting and Performance Optimization of QNX in Autonomous Driving Assistance

3.3 Commercial Vehicle Autonomous Driving Algorithm Software
3.3.1 Commercial Vehicle L3/L4 Autonomous Driving System Integrators
3.3.2 List of L3/L4 Commercial Vehicle Autonomous Driving Algorithm Providers and Products (1)
3.3.3 List of L3/L4 Commercial Vehicle Autonomous Driving Algorithm Providers and Products (2)
3.3.4 Multi-sensor Fusion Algorithm and Mass Production Engineering Capabilities of PhiGent Robotics

3.4 HD Map
3.4.1 Layers and Update Frequency of HD Maps
3.4.2 HD Map Business Model
3.4.3 HD Industry Chain
3.4.4 Passenger Car HD Map Market in China
3.4.5 Requirements of Autonomous Driving for HD Map Elements: L3/L4 (1?
3.4.6 Requirements of Autonomous Driving for HD Map Elements: L3/L4 (2)
3.4.7 HD Map Suppliers and Product List: Passenger Car (1)
3.4.8 HD Map Suppliers and Product List: Passenger Car ?2?
3.4.9 HD Map Suppliers and Product List: Commercial Vehicle (1)
3.4.10 HD Map Suppliers and Product List: Commercial Vehicle(2)
3.4.11 Application Case 1 of L4 Autonomous Driving HD Map and Positioning: Meituan Autonomous Delivery Vehicle
3.4.12 Application Case 1 of L4 Autonomous Driving HD Map and Positioning: PIX Moving Autonomous Minibus

4 Application and Algorithm Software – Vehicle Control
4.1 Automotive Energy Management Software
4.1.1 Simplified V-shaped Design Flowchart and Automotive Industry Software
4.1.2 Cloud BMS Demand Analysis (1)
4.1.3 Cloud BMS Demand Analysis (2)
4.1.4 Energy Management Software Suppliers and Their Product Lists (1)
4.1.5 Energy Management Software Suppliers and Their Product Lists (2)
4.1.6 Huawei AI BMS Solution
4.1.7 Huawei AI BMS Provides Automakers with Visual Safety Management Platforms for Power Parts
4.1.8 Four-Step Process of Huawei AI BMS
4.1.9 Cloud-based Networked Battery Architecture of Eatron Technologies

4.2 Vehicle Body and Vehicle Control Software
4.2.1 Functional Features and Software Requirements of Body Domain Control System
4.2.2 Key Technologies and Actual Development of Body Domain Control System
4.2.3 The Integration of Gateways and Body Domain Control Will Become a Trend (1)
4.2.4 The Integration of Gateways and Body Domain Control Will Become a Trend (2)
4.2.5 Potential Market Prospects of Body Domain
4.2.6 Body Domain Control Software (Hardware) Suppliers and Their Product Lists (1)
4.2.7 Body Domain Control Software (Hardware) Suppliers and Their Product Lists (2)
4.2.8 Body Domain Control Software (Hardware) Suppliers and Their Product Lists (3)
4.2.9 Body Domain Control Software (Hardware) Suppliers and Their Product Lists (4)
4.2.10 Body Domain Control Software (Hardware) Suppliers and Their Product Lists (5)
4.2.11 Development Trend of Vehicle Control Domain: Integration and Domain Control (1)
4.2.12 Development Trend of Vehicle Control Domain: Integration and Domain Control (2)
4.2.13 Vehicle control domain Software Platform Solution
4.2.14 FMT VCOS (Vehicle Control Operating System)
4.2.15 FMT’s Deployment in Central Controllers, Power Domain Controllers and Zone Controllers

4.3 Power and Drive Management Software
4.3.1 Common Automotive Simulation Industrial Design Software
4.3.2 Dynamic and Economic Simulation Analysis Software
4.3.3 Dynamic Simulation Analysis Software Suppliers and Their Product Lists (1)
4.3.4 Dynamic Simulation Analysis Software Suppliers and Their Product Lists (2)
4.3.5 Automotive Electronic Control Forward Design Software Suppliers and Their Product Lists


5 Application and Algorithm Software – Telematics and Cybersecurity
5.1 Roadside Operating System
5.1.1 Definition of Roadside Traffic OS
5.1.2 Suppliers and Products of Roadside Traffic OS (1)
5.1.3 Suppliers and Products of Roadside Traffic OS (2)
5.1.4 SmartRoad OS: Roadside Unit Operating System for Vehicle-Infrastructure-Cloud Integrated Cloud Control System
5.1.5 Six Characteristics of SmartRoad OS Technology Architecture
5.1.9 Tencent Traffic OS
5.2 Vehicle-Infrastructure-Cloud Cooperation Service
5.2.1 Vehicle-Infrastructure-Cloud Cooperation Will Become One of the Mainstream Paths to Achieve High-level Autonomous Driving
5.2.2 Method of Vehicle-Infrastructure-Cloud Cooperation to Realize Autonomous Driving
5.2.3 Suppliers and Products of Vehicle-Infrastructure-Cloud Cooperation Solution (1)
5.2.4 Suppliers and Products of Vehicle-Infrastructure-Cloud Cooperation Solution (2)
5.2.5 Suppliers and Products of Vehicle-Infrastructure-Cloud Cooperation Solution (3)

5.3 V2X Technology Platform
5.3.1 Conventional V2X Technology Platform Architecture
5.3.2 Bottleneck of Conventional V2X Technology Platform
5.3.3 Next-generation V2X Technology Platform Development Direction
5.3.4 Next-generation V