Table of Content

1 Status Quo of Policies, Standards and Regulations Concerning Autonomous Driving Map
1.1 Policies Concerning Autonomous Driving Map
1.1.1 The Latest Policies in 2023: Guidelines for Construction of Intelligent Vehicle Basic Map Standard System (2023 Edition) (Released) (1)
1.1.2 The Latest Policies in 2023: Guidelines for Construction of Intelligent Vehicle Basic Map Standard System (2023 Edition) (Released) (2)
1.1.3 The Latest Policies in 2023: Guiding Opinions of Beijing Municipality on Piloting of HD Maps for Intelligent Connected Vehicles
1.1.4 The Latest Policies in 2023: Administrative Regulations of Hangzhou City on HD Maps for Intelligent Connected Vehicles
1.2 Regulations Concerning Autonomous Driving Map
1.2.1 Foreign Regulations Concerning HD Map
1.2.2 Chinese Regulations Concerning HD Map
1.2.3 The Latest Regulations in 2023: National Regulatory Authorities Allow Maps of Nationwide City-level Roads to Be Submitted for Review
1.2.4 The Latest Regulations in 2023: Improving the Efficiency of HD Map Review
1.3 Standards Concerning Autonomous Driving Map
1.3.1 Current Formulation of Foreign HD Map Standards
1.3.2 Current Formulation of Chinese HD Map Standards (Released)
1.3.3 Current Formulation of Chinese HD Map Standards (Pre-researched)
1.3.4 Formulation of HD Map Standards in 2023: Incremental Update on Autonomous Driving Maps for Intelligent Connected Vehicles (Filed) (1)
1.3.5 Formulation of HD Map Standards in 2023: Incremental Update on Autonomous Driving Maps for Intelligent Connected Vehicles (Filed) (2)


2 Status Quo of Autonomous Driving Map Market
2.1 Development Direction of Autonomous Driving Maps
2.1.1 Classification of Vehicle Maps: Navigation Map, ADAS Map and HD Map
2.1.2 Autonomous Driving Is in the Phase of Human-machine Co-driving
2.1.3 Challenges Posed to the Vehicle Map Industry in the Phase of Human-machine Co-driving
2.1.4 Framework of Vehicle Map in the Phase of Human-machine Co-driving
2.1.5 Vehicle Map Installation Trend: Navigation Map, ADAS Map and HD Map
2.2 Classification of Autonomous Driving Maps: Navigation Map (SD Map)
2.2.1 Vehicle Navigation Map Upgraded from 2D to 3D
2.2.2 3D Navigation Map Layout Case: Tencent
2.2.3 Navigation Map Provides Basic Data under the “Non-map” Intelligent Driving Solution (1)
2.2.4 Navigation Map Provides Basic Data under the “Non-map” Intelligent Driving Solution (2)
2.2.5 Installation of Mainstream Navigation Maps in Vehicles
2.2.6 Installations and Installation Rate of Navigation Maps in Passenger Cars in China
2.2.7 Installations and Installation Rate of Navigation Maps in Passenger Cars in China (by Price)
2.2.8 Installations and Installation Rate of Navigation Maps in Passenger Cars in China (TOP20 Models)
2.2.9 Installations and Installation Rate of Navigation Maps in Passenger Cars in China (TOP20 Brands)
2.3 Classification of Autonomous Driving Maps: ADAS Map (SD Pro MAP)
2.3.1 Categories of ADAS Maps
2.3.2 ADAS Map Production Process
2.3.3 ADAS Map Production Process 1
2.3.4 ADAS Map Production Process 2
2.3.5 ADAS Map Production Process 3
2.3.6 Key Technology for ADAS Maps: Foundation Model
2.3.7 ADAS Map Solution: Mainstream Map Providers Build Maps in Advance
2.3.8 ADAS Map Solution: Some Providers Build Maps Online via Algorithms (1)
2.3.9 ADAS Map Solution: Some Providers Build Maps Online via Algorithms (2)
2.3.10 Tier1s’ ADAS Map Solutions: Mapping Technology for Baidu Intelligent Driving Solution (1)
2.3.11 Tier1s’ ADAS Map Solutions: Mapping Technology for Baidu Intelligent Driving Solution (2)
2.3.12 Tier1s’ ADAS Map Solutions: DeepRoute.ai Driver 3.0 (1)
2.3.13 Tier1s’ ADAS Map Solutions: DeepRoute.ai Driver 3.0 (2)
2.3.14 Tier1s’ ADAS Map Solutions: MAXIEYE Hyperspace Architecture
2.3.15 Tier1s’ ADAS Map Solutions: MAXIEYE’s Automatic Mapping Memory
2.3.16 Tier1s’ ADAS Map Solutions: Juefx Technology + Horizon Robotics
2.3.17 Tier1s’ ADAS Map Solutions: Huawei
2.3.18 Tier1s’ ADAS Map Solutions: Momenta’s Non-map Intelligent Driving Algorithm Solution (1)
2.3.19 Tier1s’ ADAS Map Solutions: Momenta’s Non-map Intelligent Driving Algorithm Solution (2)
2.3.20 Tier1s’ ADAS Map Solutions: Momenta’s Non-map Intelligent Driving Algorithm Roadmap
2.3.21 Installation of ADAS Maps in Vehicles (1)
2.3.22 Installation of ADAS Maps in Vehicles (2)
2.3.23 OEMs’ ADAS Map Solutions: Tesla FSD (1)
2.3.24 OEMs’ ADAS Map Solutions: Tesla FSD (2)
2.3.25 OEMs’ ADAS Map Solutions: Voyah Urban Road High-Precision Positioning Solution
2.3.26 Development Trend of ADAS Maps: Integrated Production of SD/HD Maps
2.4 Classification of Autonomous Driving Maps: HD Map
2.4.1 HD Map
2.4.2 Perception and HD Maps Complement Each Other to Improve Urban NOA Safety
2.4.3 Comparison between Three Major Mass-Production Map Providers
2.4.4 OEMs’ Attitude towards HD Maps
2.4.5 HD Map Development Route
2.5 How Do Conventional Map Providers Make Layout Driven by Urban NOA?
2.5.1 Urban NOA Becomes A New Battlefield for Autonomous Driving of Passenger Cars
2.5.2 Multi-source Fusion Map for Autonomous Driving Is An Effective Solution to Enduring Problems in Urban NOA
2.5.3 In Urban NOA Scenario, Map Providers Focus on Deploying SD Pro MAP
2.5.4 Basic Requirements for SD Pro MAP
2.5.5 The Layout Idea of Map Providers Driven by Urban NOA: Create A Map and Lightweight Map Model
2.5.6 Layout Strategy of Map Providers (1)
2.5.7 Layout Strategy of Map Providers (2)
2.5.8 Layout Strategy of Map Providers (3)
2.5.9 Layout Strategy of Map Providers (4)
2.6 Autonomous Driving Map Selection by OEMs
2.6.1 Autonomous Driving Map Selection by OEMs (1)
2.6.2 Autonomous Driving Map Selection by OEMs (2)


3 Status Quo of HD Map Market
3.1 HD Map Market Size
3.1.1 China’s Passenger Car OEM HD Map Market Size (1)
3.1.2 China’s Passenger Car OEM HD Map Market Size (2)
3.1.3 Top 10 HD Map-enabled Production Passenger Car Models by Sales in China, 2022-2023
3.1.4 Price Range of Production Passenger Car Models with High-precision Positioning in China, 2022-2023
3.2 Competitive Pattern of HD Map Market
3.2.1 Major Players in HD Map Market
3.2.2 Players in HD Map Market (1): Chinese Map Providers (1)
3.2.3 Players in HD Map Market (1): Chinese Map Providers (2)
3.2.4 Players in HD Map Market (2): HD Map Layout of OEMs
3.2.5 Players in HD Map Market (2): OEMs Face Challenges in Self-development of HD Maps
3.2.6 OEMs’ Solutions to Map Challenges (1)
3.2.7 OEMs’ Solutions to Map Challenges (2)
3.2.8 Players in HD Map Market (3): Foreign Map Providers
3.3 Business Models for HD Map Implementation
3.3.1 HD Map Business Model 1: Autonomous Driving
3.3.2 HD Map Business Model 2: Parking Lot
3.3.3 Classification of HD Map Profit Models
3.3.4 Summary of HD Map Business Models: Chinese Map Providers (1)
3.3.5 Summary of HD Map Business Models: Chinese Map Providers (2)
3.3.6 Summary of HD Map Business Models: Foreign Map Providers
3.3.7 Changes in Business Models of Map Providers in the Development of Urban NOA
3.4 Challenges in Development of HD Maps
3.4.1 Development of HD Maps Faces Bottlenecks
3.4.2 Challenge 1 in Development of HD Maps
3.4.3 Challenge 2 in Development of HD Maps
3.4.4 Challenge 3 in Development of HD Maps
3.4.5 Challenge 4 in Development of HD Maps
3.5 HD Map Data Distribution and Fusion
3.5.1 HD Map Data Distribution and Fusion Processes
3.5.2 Process 1: HD Map Data Distribution Engine Architecture
3.5.3 Process 1: HD Map data Distribution Engine Integration Form
3.5.4 Process 1: Main Suppliers of HD Map Data Distribution Engine
3.5.5 Process 2: HD Map Data Format Conversion (1)
3.5.6 Process 2: HD Map Data Format Conversion (2)
3.5.7 Process 3: Interaction between HD Map Data Distribution and Receiving End
3.5.8 Process 4: HD Map Data Fusion
3.5.9 HD Map Data Distribution and Fusion Trends
3.6 HD Maps Applied to Lane-level Positioning
3.6.1 Structure of Lane-level Positioning Solutions Based on HD Maps
3.6.2 Providers of Lane-level Positioning Solutions Based on HD Maps
3.6.3 Cases

4 Intelligent Driving Map Application Layout of OEMs
4.1 Map Elements Required for Different Levels of Autonomous Driving
4.1.1 Map Elements Required for Autonomous Driving: L2 NOA Function
4.1.2 Map Elements Required for Autonomous Driving: L2 Hands Free Function
4.1.3 Map Elements Required for Autonomous Driving: L3
4.1.4 Map Elements Required for Autonomous Driving: L4 or Higher Level
4.2 OEMs’ Installation of Intelligent Driving Maps in Production Passenger Cars
4.2.1 Chinese Independent Brands’ Installation of Intelligent Driving Maps in Production Passenger Cars (1)
4.2.2 Chinese Independent Brands’ Installation of Intelligent Driving Maps in Production Passenger Cars (2)
4.2.3 Chinese Independent Brands’ Installation of Intelligent Driving Maps in Production Passenger Cars (3)
4.2.4 Chinese Independent Brands’ Installation of Intelligent Driving Maps in Production Passenger Cars (4)
4.2.5 Chinese Independent Brands’ Installation of Intelligent Driving Maps in Production Passenger Cars (5)
4.2.6 Chinese Independent Brands’ Installation of Intelligent Driving Maps in Production Passenger Cars (6)
4.2.7 Chinese Independent Brands’ Installation of Intelligent Driving Maps in Production Passenger Cars (7)
4.2.8 Chinese Independent Brands’ Installation of Intelligent Driving Maps in Production Passenger Cars (8)
4.2.9 Joint Venture Brands’ Installation of Intelligent Driving Maps in Production Passenger Cars
4.2.10 OEMs’ Intelligent Driving Map Installation Case 1: GAC Aion HD Map Solution
4.2.11 OEMs’ Intelligent Driving Map Installation Case 1: GAC Aion Electronic Horizon System
4.2.12 OEMs’ Intelligent Driving Map Installation Case 1: GAC Aion HD Map Curvature and Slope
4.2.13 OEMs’ Intelligent Driving Map Installation Case 2: Xpeng Realizes Urban NOA Based on HD Maps
4.2.14 OEMs’ Intelligent Driving Map Installation Case 2: Xpeng XNGP Upgrades “Non-map” Solution (1)
4.2.15 OEMs’ Intelligent Driving Map Installation Case 2: Xpeng XNGP Upgrades “Non-map” Solution (2)
4.2.16 OEMs’ Intelligent Driving Map Installation Case 2: Xpeng XNGP Upgrades “Non-map” Solution (3)
4.2.17 OEMs’ Intelligent Driving Map Installation Case 3: Great Wall WEY Uses HD Maps to Realize Point-to-point Autonomous Driving
4.2.18 OEMs’ Intelligent Driving Map Installation Case 4: Li Auto Uses HD Maps
4.2.19 OEMs’ Intelligent Driving Map Installation Case 4: Li AD Max 3.0 Upgrades “Non-map” Solution
4.2.20 OEMs’ Intelligent Driving Map Installation Case 4: Li Auto Uses Online Mapping Technology (1)
4.2.21 OEMs’ Intelligent Driving Map Installation Case 4: Li Auto Uses Online Mapping Technology (2)
4.2.22 OEMs’ Intelligent Driving Map Installation Case 5: NIO NOP Fuses HD Maps
4.2.23 OEMs’ Intelligent Driving Map Installation Case 5: NIO Carefully Explores “Non-map” Solution
4.2.24 OEMs’ Intelligent Driving Map Installation Case 6
4.2.25 OEMs’ Intelligent Driving Map Installation Case 7
4.2.26 OEMs’ Intelligent Driving Map Installation Case 8
4.2.27 OEMs’ Intelligent Driving Map Installation Case 9
4.3 Intelligent Driving Map Application in Sub-scenarios: Low-speed Parking of Passenger Cars
4.3.1 AVP Map Category 1: HD Map
4.3.2 AVP Map Category 1: SLAM Real-Time Map
4.3.3 Top Five Providers of Parking Maps for Parking Lots
4.3.4 Installation Case: Mapping Method for Avatr Parking Functions
4.4 Intelligent Driving Map Application in Sub-scenarios: Autonomous Object Carrying
4.4.1 Importance of HD Maps for Low-speed Autonomous Object Carrying
4.4.2 HD Mapping Method for Low-speed Autonomous Object Carrying
4.4.3 Pattern of Providers of HD Maps for Autonomous Object Carrying (1)
4.4.4 Pattern of Providers of HD Maps for Autonomous Object Carrying (2)
4.5 Intelligent Driving Map Application in Sub-scenarios: Autonomous Human Carrying
4.5.1 Importance of HD Maps for High-level (Autonomous) Automated Driving
4.5.2 Application Scenarios of Autonomous Human Carrying (1)
4.5.3 Application Scenarios of Autonomous Human Carrying (2)
4.5.4 Application Scenarios of Autonomous Human Carrying (3)


5 Chinese and Foreign Map Providers
5.1 Baidu Maps
5.1.1 Autonomous Driving Architecture Adjustment: Constrict L4/L2 Solutions
5.1.2 Baidu Is Committed to Building Maps for Autonomous Driving
5.1.3 Vehicle Map Product System
5.1.4 Vehicle Map Product 1: Navigation Map
5.1.5 Vehicle Map Product 2: Baidu MapAuto 6.5 (1)
5.1.6 Vehicle Map Product 2: Baidu MapAuto 6.5 (2)
5.1.7 Vehicle Map Product 2: Baidu MapAuto 6.5 (3)
5.1.8 Vehicle Map Product 3: HD Map (1)
5.1.9 Vehicle Map Product 3: HD Map (2)
5.1.10 Map Is A Competitive Edge of Baidu’s Autonomous Driving System
5.1.11 Core Value 1 of “Familiar Road” Map: Safety (1)
5.1.12 Core Value 1 of “Familiar Road” Map: Safety (2)
5.1.13 Core Value 2 of “Familiar Road” Map: Comfort
5.1.14 Core Value 3 of “Familiar Road” Map: High Efficiency
5.1.15 Low-cost Construction of Intelligent Driving Map Technology 1: Mapping
5.1.16 Low-cost Construction of Intelligent Driving Map Technology 2: Automatic Feature Extraction
5.1.17 Compared with HD Maps, Baidu Autonomous Driving Map Loses Weight
5.2 NavInfo
5.2.1 New Vehicle Map Product System
5.2.2 New Vehicle Map Product 1: Navigation Map
5.2.3 New Vehicle Map Product 2: Scene map (1)
5.2.4 New Vehicle Map Product 2: Scene Map (2)
5.2.5 New Vehicle Map Product 3: HD Map (1)
5.2.6 New Vehicle Map Product 3: HD Map (2)
5.2.7 New Vehicle Map Product 3: HD Map (3)
5.2.8 New Vehicle Map Product 3: HD Map (4)
5.2.9 Intelligent Driving Map Application Case 1
5.2.10 Intelligent Driving Map Application Case 2
5.2.11 Intelligent Driving Map Application Case 3
5.3 Amap
5.3.1 Vehicle Map Product 1
5.3.2 Vehicle Map Product 2
5.3.3 Vehicle Map Product 3
5.3.4 Matching of HD Map and SD Map
5.4 Tencent
5.4.1 “Vehicle-Cloud Integration” Strategic Layout
5.4.2 Vehicle Map Product 1: Navigation Map
5.4.3 Vehicle Map Product 2: Intelligent Driving Cloud Map (1)
5.4.4 Vehicle Map Product 2: Intelligent Driving Cloud Map (2)
5.4.5 Vehicle Map Product 3
5.4.6 Vehicle Map Product 4
5.4.7 Coping Strategies in “Lightweight Map” Mode: In-depth Cooperation with Tier1s (1)
5.4.8 Coping Strategies in “Lightweight Map” Mode: In-depth Cooperation with Tier1s (2)
5.5 BrightMap
5.5.1 Introduction to Vehicle Map Business
5.5.2 Vehicle Map Product: AVP HD Map (1)
5.5.3 Vehicle Map Product: AVP HD Map (2)
5.6 Mxnavi
5.6.1 Business Layout
5.6.2 Vehicle Map Product 1: Crowdsourced Map Technology
5.6.3 Vehicle Map Product 2: HD Map Data
5.6.4 Vehicle Map Product 3: HD Map Fusion Platform
5.6.5 Coping Strategies in “Lightweight Map” Mode
5.7 Huawei
5.7.1 Vehicle Map Products (1)
5.7.2 Vehicle Map Products (2)
5.7.3 Vehicle Map Products (3)
5.7.4 Vehicle Map Application: High-level Autonomous Driving System (ADS)
5.8 Heading Data Intelligence
5.8.1 Map-based Product Lines
5.8.2 Vehicle Map Products (1)
5.8.3 Vehicle Map Products (2)
5.8.4 HD Map Application Scenario 1: Parking
5.8.5 HD Map Application Scenario 2: Highway/Urban Driving Assistance
5.9 JD
5.9.1 JD Logistics Builds “Yutu” Platform (1)
5.9.2 JD Logistics Builds “Yutu” Platform (2)
5.10 Leador
5.10.1 Autonomous Driving Technology Based on HD Maps
5.10.2 Application of HD Map in Parking Lots
5.11 eMapgo
5.11.1 Vehicle Map Products: HD Map for Parking Lots (1)
5.11.2 Vehicle Map Products: HD Map for Parking Lots (2)
5.11.3 Vehicle Map Products: HD Map Cloud Platform
5.11.4 Vehicle Map Application: Autonomous Driving Simulation Test
5.12 Momenta
5.12.1 Coping Strategies in “Lightweight Map” Mode
5.12.2 Non-map Solution Algorithm: Lane Line Recognition
5.12.3 Non-map Solution Algorithm: Positioning
5.12.4 Non-map Solution Algorithm: Planning & Control
5.12.5 Algorithm Iteration Path
5.13 Roadgrids
5.13.1 Automatic HD Map Building and Update
5.13.2 Selection of Lightweight HD Map Elements
5.13.3 Lightweight Map Closed-loop Solution (1)
5.13.4 Lightweight Map Closed-loop Solution (2)
5.14 Here
5.14.1 Map Evolution Mode
5.14.2 Emphasize Map Information Security
5.14.3 Launch UniMap Mapping Platform
5.14.4 HD Map Layout in China

6 HD Map Technology Companies
6.1 Mobileye
6.1.1 Focus on Deploying Lightweight Map Business (1)
6.1.2 Focus on Deploying Lightweight Map Business (2)
6.1.3 Benefits of REM
6.2 NVIDIA
6.2.1 Vehicle Map Business: DeepMap
6.2.2 Vehicle Map Product: DRIVE Map (1)
6.2.3 Vehicle Map Product: DRIVE Map (2)
6.3 DeepMotion
6.3.1 Acquired by Xiaomi
6.3.2 HD Map Technical Solution
6.3.3 Features of HD Map
6.4 Mapbox
6.4.1 Vehicle Map Products: Navigation Map
6.4.2 Vehicle Map Products: HD Map
6.4.3 Failure in the Chinese Market