Table of Content

1 HD Map Policies, Standards and Regulations
1.1 Policies Related to HD Maps
1.1.1 Latest Policy in 2022: Carry Out the Pilot Application of HD Maps for Intelligent Connected Vehicles
1.1.2 Latest Policy in 2022: Ministry of Transport Approves Baidu to Conduct HD Map Pilot
1.1.3 Latest Policy in 2022: Shanghai Accelerates the Innovation and Development of Intelligent Connected Vehicles
1.2 Regulations Related to HD Maps
1.2.1 Foreign Regulations Related to HD Maps
1.2.2 Domestic Regulations Related to HD Maps
1.2.3 Latest Regulation in 2022: Review of Mapping Qualifications for HD Maps Gradually Tightened (1)
1.2.4 Latest Regulation in 2022: Review of Mapping Qualifications for HD Maps Gradually Tightened (2)
1.2.5 Latest Regulation in 2022: Ministry of Natural Resources Clarifies that Automotive Sensors and Intelligent Connected Vehicle Manufacturing are Illegal Mapping Activities (3)
1.2.6 Latest Regulation in 2022: Chongqing Issued HD Map Management Measures for Intelligent Connected Vehicles (4)
1.3 Standards Related to HD Maps
1.3.1 Foreign Map Standard Ecology: Europe (1)
1.3.2 Foreign Map Standard Ecology: Japan (2)
1.3.3 Status Quo of Foreign HD Map Standard Development
1.3.4 Status Quo of China HD Map Standard Customization (Published)
1.3.5 Status Quo of China HD Map Standard Customization (Pre-research)
1.3.6 Progress of China’s HD Map Standard: Crowdsourcing Update Standard Gradually Improved
1.3.7 Latest Standard in 2022: "General Specifications for Traffic Information Holographic Acquisition System of Road Intersections" Group Standard Officially Released (1)
1.3.8 Latest Standard in 2022: First Domestic Road HD Electronic Navigation Maps Quality Specification Industry Standard Approved (2)
1.3.9 Latest Standard in 2022: Domestic Autonomous Parking Map Standard Coming Soon (3)
1.3.10 Latest Standard in 2022: First Provincial Local Standard Focusing on Intelligent Connected Vehicle Maps Launched (4)
1.4 Compliance of HD Map
1.4.1 State Increases Automotive Data Security Control
1.4.2 HD Map Data Compliance Production Process
1.4.3 HD Map Compliance Data Service
1.4.4 HD Map Compliance Development Path: Building a HD Dynamic Map Basic Platform


2 HD Map Market Size and Competitive Pattern
2.1 HD Map Market Size
2.1.1 Estimated Installations of HD Maps in Autonomous Vehicles in China in 2022
2.1.2 Market Size of OEM HD Maps for Passenger Cars in China (1)
2.1.3 Market Size of OEM HD Maps for Passenger Cars in China (2)
2.2 Competitive Landscape of HD Map Market
2.2.1 HD Map Market Pattern
2.2.2 HD Map Market Players (1): Top 10 Domestic Traditional Map Suppliers (1)
2.2.3 HD Map Market Players (1): Top 10 Domestic Traditional Map Suppliers (2)
2.2.4 HD Map Market Players (1): Product Comparison between Major Map Companies
2.2.5 HD Map Market Players (I): Comparison between Three Major Map Producers
2.2.6 HD Map Market Players (2): HD Map Layout of OEMs
2.2.7 HD Map Market Players (2): OEMs Tend to Self-develop HD Maps Instead of Outsourcing
2.2.8 HD Map Market Players (2): The OEMs That Develop Their Own HD Maps Are Facing Difficulties
2.2.9 HD Map Market Players (2): HD Map Layout Cases of OEMs (1)
2.2.10 HD Map Market Players (2): HD Map Layout Cases of OEMs (2)
2.2.11 HD Map Market Players (3): Foreign Map Companies
2.3 HD Map Business Models
2.3.1 Scenarios where HD maps have been commercialized
2.3.2 HD Map Business Model 1: Autonomous Driving
2.3.3 HD Map Business Model 2? Parking Lots
2.3.4 Classification of HD Map Profit Models
2.3.5 Summary of HD Map Business Models: Domestic Map Companies (1)
2.3.6 Summary of HD Map Business Models: Domestic Map Companies (2)
2.3.7 Summary of HD Map Business Models: Foreign Map Companies (1)
2.3.8 Summary of HD Map Business Models: Foreign Map Companies (2)
2.3.9 Cases of HD Map Profit Models: Cloud SaaS Service Model


3 Key Technologies for HD Map Mass Production
3.1 HD Map Production
3.1.1 HD Map Production Flow
3.1.2 HD Map Production Flow (I): Hard to Collect HD Maps of Urban Roads
3.1.3 HD Map Production Flow (II): Point Cloud HD Map Generation
3.1.4 HD Map Production Flow (II): Visual Fusion Point Cloud Mapping
3.1.5 HD Map Production Flow (II): LIDAR Point Cloud Mapping
3.1.6 HD Map Production Flow (III): Feature Extraction
3.1.7 HD Map Production Tools: Open Source Architecture Lanelet2
3.1.8 HD Map Production Tools: Open Source Architecture OpenDRIVE
3.1.9 HD Map Production Cases (I): Baidu
3.1.10 HD Map Production Cases (II): NavInfo’s Automatic Map Production Line
3.1.11 HD Map Production Cases (II): NavInfo’s New Automated Mapping Technology
3.1.12 Weak HD Map Production Flow
3.1.13 Weak HD Map Production Flow (I): Spatial Fusion of Different Sensors
3.1.14 Weak HD Map Production Flow (II): Environment Modeling
3.1.15 Weak HD Map Production Flow (III): Realize Online HD Vector Map Reconstruction
3.1.16 HD Map Production Technology Trend: SD/HD Map Integrated Production
3.2 HD Map Update
3.2.1 HD Map Update Trends: from Professional Collection to Crowdsourcing Update
3.2.2 HD Map Crowdsourcing Update Method
3.2.3 Challenges to HD Map Crowdsourcing Update (I)
3.2.4 Challenges to HD Map Crowdsourcing Update (II)
3.2.5 HD Map Crowdsourcing Update Solutions (I): Low-cost Collection + SLAM Algorithm
3.2.6 HD Map Crowdsourcing Update Solutions (II): Vision-only + Deep Learning + SLAM Algorithm (1)
3.2.7 HD Map Crowdsourcing Update Solutions (II): Vision-only + Deep Learning + SLAM Algorithm (2)
3.2.8 HD Map Crowdsourcing Update Solutions (II): Vision-only + Deep Learning + SLAM Algorithm (3)
3.2.9 HD Map Crowdsourcing Update Solutions (III): Cloud + Terminal Form An Update Closed Loop
3.2.10 HD Map Update Subjects (I): OEM’S Crowdsourcing Update Solutions (1)
3.2.11 HD Map Update Subjects (I): OEM’S Crowdsourcing Update Solutions (2)
3.2.12 HD Map Update Subjects (II): Technology Providers’ Crowdsourcing Update Solutions
3.2.13 HD Map Crowdsourcing Update Cases (I): NavInfo’s New Map Learning Platform (1)
3.2.14 HD Map Crowdsourcing Update Cases (I): NavInfo’s New Map Learning Platform (2)
3.2.15 HD Map Crowdsourcing Update Cases (I): NavInfo’s New Map Learning Platform (3)
3.2.16 HD Map Crowdsourcing Update Cases (I): NavInfo’s Proprietary Data Processing Platform
3.2.17 HD Map Crowdsourcing Update Cases (II): TomTom Completes Crowdsourced Data Fusion over Cloud
3.3 HD Map Data Distribution and Fusion
3.3.1 HD Map Data Distribution and Fusion Process
3.3.2 Process 1: HD Map Data Distribution Engine Architecture
3.3.3 Process 1: Road Network Model of HD Map Data Distribution Engine
3.3.4 Process 1: Integration Forms of HD Map Data Distribution Engine
3.3.5 Process 1: HD Map Box in Integration Forms of HD Map Data Distribution Engine
3.3.6 Process 1: Major HD Data Distribution Engine Providers
3.3.7 Process 2: HD Map Data Format Conversion (1)
3.3.8 Process 2: HD Map Data Format Conversion (2)
3.3.9 Process 3: Interaction between HD Map Data Distribution and Receiving Terminals
3.3.10 Process 4: HD Map Data Fusion
3.3.11 Process 4: Integration of HD Map Data Distribution and ADAS
3.3.12 Process 4: Relationship between HD Map Data Distribution and ADAS Applications
3.3.13 HD Map Data Distribution and Fusion Cases (I): NavInfo’s Cross-correlation Layer
3.3.14 HD Map Data Distribution and Fusion Cases (II): Amap’s Data Fusion and Application Methods
3.3.15 HD Map Data Distribution and Fusion Trend: Centralized Processing in the Central Domain Controller
3.4 Fusion Application of HD Map and V2X Technology
3.4.1 Roles of HD Map in V2X (I): Infrastructure
3.4.2 Roles of HD Map in V2X (II): Data Support
3.4.3 Roles of HD Map in V2X (III): Helping to Achieve High-Precision Positioning
3.4.4 Roles of V2X in HD Map (I): Data Storage
3.4.5 Roles of V2X in HD Map (II): Data Distribution (1)
3.4.6 Roles of V2X in HD Map (II): Data Distribution (2)
3.4.7 Roles of V2X in HD Map (III): map Data Update
3.4.8 HD Map and V2X Fusion Application Case: Traffic Lights Prompt
3.5 HD Map Applied to Lane-Level Positioning
3.5.1 Structure of HD Map Based Lane-Level Positioning Solutions
3.5.2 Map Matching Technologies in Lane-Level Positioning Solutions (I): Map Matching Based on Point Cloud
3.5.3 Map Matching Technologies in Lane-Level Positioning Solutions (I): Map Matching Algorithms Based on Point Cloud (1)
3.5.4 Map Matching Technologies in Lane-Level Positioning Solutions (I): Map Matching Algorithms Based on Point Cloud (2)
3.5.5 Map Matching Technologies in Lane-Level Positioning Solutions (II): Map Matching Based on Deep Learning (1)
3.5.6 Map Matching Technologies in Lane-Level Positioning Solutions (II): Map Matching Based on Deep Learning (2)
3.5.7 Providers of Lane-Level Positioning Solutions Based on HD Maps
3.5.8 Application Cases (I): Mxnavi’s Lane-Level Positioning Solutions Based on HD Maps
3.5.9 Application Cases (II): Voyah’s Urban Road HD Positioning Solutions Based on Weak HD Maps


4 Application Scenario for HD Map Mass Production
4.1 HD Map Demand for Different Autonomous Driving Levels
4.1.1 HD Map Road Element Demand for Different Autonomous Driving Level
4.1.2 Requirements of Autonomous Driving for HD Map Elements: L2 NOA
4.1.3 Requirements of Autonomous Driving for HD Map Elements: L2 Hands Free
4.1.4 Requirements of Autonomous Driving for HD Map Elements: L3
4.1.5 Requirements of Autonomous Driving for HD Map Elements: L4 (1)
4.1.6 Requirements of Autonomous Driving for HD Map Elements: L4 (2)
4.1.7 Autonomous Driving Development Stage : Human-car Co-Driving
4.1.8 HD Map Framework in the Human-car Co-driving Stage
4.1.9 Challenges of Human-car Co-driving Stage to HD Map Industry
4.2 HD Map Application Scenario 1: Highway Autonomous Driving for Passenger Cars
4.2.1 HD Map Installation of Independent Brand Mass-produced Passenger Cars (1)
4.2.2 HD Map Installation of Independent Brand Mass-produced Passenger Cars (2)
4.2.3 HD Map Installation of Independent Brand Mass-produced Passenger Cars (3)
4.2.4 HD Map Installation of Independent Brand Mass-produced Passenger Cars (4)
4.2.5 HD Map Installation of Independent Brand Mass-produced Passenger Cars (5)
4.2.6 HD Map Installation of Joint Venture Brand Mass-produced Passenger Cars
4.2.7 Mass Production Case 1: GAC Aion HD Map Installation Demand
4.2.8 Mass Production Case 1: GAC Aion HD Map Solution
4.2.9 Mass Production Case 1: GAC Aion EHP
4.2.10 Mass Production Case 1: GAC Aion HD Map Curvature and Slope
4.2.11 Mass Production Case 2: Xpeng HD Map Installation Solution
4.2.12 Mass Production Case 2: Functions of XPeng P7 HD Map
4.2.13 Mass Production Case 2: XPeng Enables Urban Assisted Driving Based on HD Map
4.2.14 Mass Production Case 3: GWM WEY Realizes Point-to-Point Autonomous Driving with HD Map
4.2.15 Mass Production Case 4: GM HD Map Installation Solution
4.2.16 Mass Production Case 5: Li Auto HD Map Installation
4.2.17 Mass Production Case 6: NIO Introduces HD Map from 2020
4.2.18 Mass Production Case 6: NIO NOP Integrated with HD Map
4.2.19 Mass Production Case 7: SAIC IM Autonomous Driving Hardware Solution
4.2.20 Mass Production Case 8: SAIC MAXUS MIFA 9
4.2.21 Mass Production Case 9: Geely ZEEKR 001
4.2.22 Mass Production Case 10: AVATR 11 with Highway + Urban Scenario Assisted Driving
4.2.23 Mass Production Plan 1: BMW HD map Installation Requirement and Solution (1)
4.2.24 Mass Production Plan 1: BMW HD Map Installation Demand and Solution (2)
4.2.25 Mass Production Plan 1: BMW HD Map Mass Production Function
4.2.26 New Battlefield for Passenger Car Autonomous Driving: Urban Scenarios
4.2.27 HD Map solution for Autonomous Driving in Urban Scenarios: SD Pro Map
4.2.28 Urban Autonomous Driving Passenger Car HD Map Installation Solution 1: Multi-sensor Fusion + HD map
4.2.29 Urban Autonomous Driving Passenger Car HD Map Installation Solution 2: Heavy on Perception + Light on Map
4.2.30 Heavy on Perception + Light on Map Application Case 1: IDRIVERPLUS
4.2.31 Heavy on Perception + Light on Map Application Case 2: Haomo AI
4.3 HD Map Application Scenario 2: Low-speed Autonomous Parking for Passenger Cars
4.3.1 AVP Map Type 1: HD Map
4.3.2 AVP Map Type 1: SLAM Real-time map
4.3.3 Top Five HD Map Suppliers for Parking Lots
4.3.4 Application Case 1: Roadgrids Parking Lot HD Map Building System
4.3.5 Application Case 2: ZongMu Technology HD Map-based Parking Product
4.3.6 Autonomous Parking Map Development Trend: One Map of Vehicle / Field / Cloud / APP
4.4 HD Map Application Scenario 3: Autonomous Driving for Cargo
4.4.1 Importance of HD Maps for Low-speed Autonomous Driving
4.4.2 HD Map Building Method for Low-speed Autonomous Driving: SLAM
4.4.3 HD Map Supplier Pattern of Autonomous Driving for Cargo (1)
4.4.4 HD Map Supplier Pattern of Autonomous Driving for Cargo (2)
4.4.5 Application Case 1 of Autonomous Driving for Cargo: Meituan Autonomous Delivery Vehicle
4.4.6 Application Case 1 of Autonomous Driving for Cargo: JD Autonomous Delivery Vehicle
4.5 HD Map Application Scenario 4: Autonomous Driving for People
4.5.1 HD Maps are a Must for High-level Autonomous Driving
4.5.2 Application Case 1 of Autonomous Driving for People: Autonomous Robotaxi HD Map Application
4.5.3 Application Case 1 of Autonomous Driving for People? Robobus HD Map Application
4.5.4 Application Case of Autonomous Driving for People: PIX Moving Autonomous Minibus


5 Chinese and Foreign HD Map Providers
5.1 Baidu Map
5.1.1 "Vehicle-Road-Cloud-Map" Coordinated Development
5.1.2 HD Map Product System
5.1.3 Human-Computer Co-Driving Map
5.1.4 Advantages of HD Map Products (I): SD/HD Map Integrated Production
5.1.5 Advantages of HD Map Products (II): Strong Data Closed-Loop Update Capability
5.1.6 Advantages of HD Map Products (III): High Update Frequency
5.1.7 Advantages of HD Map Products (IV): Wide Coverage
5.1.8 Advantages of HD Map Products (V): Verify Map Accuracy via Cockpit APP
5.1.9 Advantages of HD Map Products (VI): Support Rapid Mass Production
5.1.10 Advantages of HD Map Products (VII): Deep integration of Cockpit, Driving and Map
5.1.11 HD Map Product Planning
5.1.12 AVP HD Maps Are Collected in Real Time Using Machine Vision
5.1.13 Integrate HD Map and Autonomous Driving (I)
5.1.14 Integrate HD Map and Autonomous Driving (II)
5.1.15 HD Map Ecosystem and Partners
5.2 NavInfo
5.2.1 Advantages in HD Map Market (I): Provide All-scenario HD Map Products
5.2.2 Advantages in HD Map Market (II): Build Third-party HD Map Platforms
5.2.3 In-depth Layout of Software and Hardware Integrated Solutions with HD Maps as the Core
5.2.4 Build Barriers in the Key Link "Base Map-Update-Positioning"
5.2.5 Major HD Map Products
5.2.6 The HD Map Capability Has Exceeded L2+
5.2.7 AVP Map
5.2.8 HD Map Engine
5.2.9 HD Map Update Technologies: UGC
5.2.10 HD Map Update Technologies: Algorithms & Tools
5.2.11 Data-Driven Open Platform for L5
5.2.12 HD Map Quality Control System
5.2.13 Partners Cover Automakers and Tier 1 Suppliers
5.3 eMapgo
5.3.1 Profile
5.3.2 eMapgo and Luokung Technology Cooperated to Build A HD Map Platform Provider
5.3.3 HD Map Products
5.3.4 HD Map Update
5.3.5 eHorizon (I)
5.3.6 eHorizon (II)
5.3.7 Parking Lot HD Map (I)
5.3.8 Parking Lot HD Map (II)
5.3.9 HD Map Cloud Platform
5.4 Amap
5.4.1 Profile
5.4.2 Map Data Collection and Production
5.4.3 Integrated Solutions Based on HD Map and High-Precision Positioning
5.4.4 Third-generation Map Navigation for Vehicles
5.4.5 HD Map and SD Map Matching
5.5 Tencent
5.5.1 Profile
5.5.2 HD Map Solution
5.5.3 HD Map Update
5.5.4 Intelligent Driving Map for Human-Computer Co-Driving
5.5.5 "Vehicle-Cloud Integration" Strategic Layout
5.6 ECARX
5.6.1 Financing
5.6.2 HD Map Business
5.7 BrightMap
5.7.1 Profile
5.7.2 Advantages of Parking Lot HD Map Products
5.7.3 AVP HD Map
5.7.4 AVP HD Map Data Delivery and Update
5.7.5 Parking Navigation HD Map
5.7.6 Secured Mass Production Orders for Parking Lot HD Maps
5.8 Mxnavi
5.8.1 Business Layout
5.8.2 Full-link HD Map Service Capabilities
5.8.3 HD Map Fusion Platform
5.8.4 HD Map Crowdsourced Production Solution
5.9 Huawei
5.9.1 HD Map Layout
5.9.2 Autonomous Driving Map Data System
5.9.3 HD Map Cloud Services
5.9.4 Huawei Accomplishes Crowdsourced Updates of HD Maps Based on the Open Autonomous Driving Platform
5.9.5 HD Map Application: Holographic Intersections
5.9.6 HD Map Application: Advanced Autonomous Driving System (ADS)
5.10 Heading Data Intelligence
5.10.1 Profile
5.10.2 HD Map Business
5.10.3 HD Map Updates
5.10.4 HD Map Engines
5.10.5 HD Map Application Scenarios: Parking
5.10.6 HD Map Application Scenarios: Freeways/Urban Areas
5.10.7 Products Based on HD Maps
5.10.8 Listing and Trading of HD Electronic Map Data Products
5.11 JD.com
5.11.1 HD Map Business
5.11.2 HD Map Application Scenarios
5.12 SFMAP Technology
5.12.1 HD Map Business
5.13 Leador
5.13.1 Profile
5.13.2 Autonomous Driving Technology Based on HD Maps (1)
5.13.3 Autonomous Driving Technology Based on HD Maps (2)
5.13.4 Indoor Map Construction Based on SLAM Algorithms
5.13.5 HD Maps for Parking Lots
5.13.6 HD Map Application Scenarios
5.14 Momenta
5.14.1 Profile
5.14.2 HD Map Technology Route
5.14.3 The Role of HD Maps in Mpilot Parking
5.15 HERE
5.15.1 Profile
5.15.2 Map Evolution Mode
5.15.3 HD Map Business
5.15. 4 HERE HD Live Map
5.15.5 HD Map Data Updates
5.15.6 HD Map Layout in China
5.15.7 HERE Supports China’s Automobile Brands to "Go Out"
5.16 TomTom
5.16.1 Profile
5.16.2 HD Map Business
5.16.3 TomTom AutoStream Delivery Service
5.16.4 HD Map Collection and Drawing
5.16.5 Crowdsourced Updates of HD Maps
5.16.6 integrated ADAS Software Based on Maps
5.16.7 Cooperation between TomTom and EB


6 HD Map-related Technology Companies
6.1 Mobileye
6.1.1 HD Map Business
6.1.2 Map Data Coverage of Mobileye REM
6.1.3 Mobileye REM Technology Realizes Crowdsourced Updates
6.1.4 REM Reduces Map Production and Maintenance Cost
6.1.5 Functions Achieved by Mobileye REM
6.1.6 REM-based Map Extension Service of Mobileye
6.1.7 Progress of REM in the World
6.1.8 Mobileye Encounters Obstacles in the Chinese Market
6.1.9 Mobileye Updates ZEEKR’s Assisted Driving Functions via OTA
6.2 Nvidia
6.2.1 Nvidia acquired DeepMap to deploy HD maps
6.2.2 Nvidia’s DRIVE Map for Autonomous Vehicles (1)
6.2.3 Nvidia’s DRIVE Map for Autonomous Vehicles (2)
6.2.4 DeepMap’s Crowdsourced Update Solution (1)
6.2.5 DeepMap’s Crowdsourced Update Solution (2)
6.3 Bosch
6.3.1 Bosch Acquired Atlatec for HD Map Layout
6.3.2 Bosch’s Low-cost and Easy-to-deploy Mapping Solution
6.4 DMP
6.4.1 Profile
6.4.2 DMP’s Dynamic Map
6.5 Carmera
6.5.1 Toyota Acquired Carmera
6.5.2 Carmera’s Autonomous Driving 3D Map Solution
6.5.3 Carmera’s Map Data Collection Mode
6.6 Kuandeng Technology
6.6.1 Kuandeng Technology’s HD Map Technology Solution
6.6.2 Kuandeng Technology’s HD Map Quality Evaluation System
6.7 DeepMotion
6.7.1 DeepMotion Was Acquired by Xiaomi
6.7.2 DeepMotion’s HD Map Technology Solution
6.7.3 Features of DeepMotion’s HD Maps
6.8 Dilu Technology
6.8.1 Profile
6.8.2 HD map solutions
6.8.3 Production Process of Dilu Technology’s HD Maps (1)
6.8.4 Production Process of Dilu Technology’s HD Maps (2)
6.9 Others
6.9.1 HD Map Update Solutions of Horizon Robotics
6.9.2 Mapbox’s HD Map Services
6.9.3 Mapper.ai