Table of Content

1 Concept and Technology of High-precision Positioning for Autonomous Driving
1.1 Positioning Technology
1.1 High-precision positioning of Autonomous Driving
1.2 Classification of High-precision Positioning Technology
1.3 Signal-based Positioning
1.3.1 Satellite-based Positioning
1.3.2 UWB-based Positioning
1.3.3 5G-based Positioning
1.3.4 Positioning System Integrating Communications with GNSS
1.3.5 Communication-Navigation Integration and Starlink
1.4 Positioning Based on Dead Reckoning - Inertial Navigation System
1.4.1 Gyroscope
1.4.2 Accelerometer
1.5 Positioning Based on Environmental Feature Matching
1.5.1 Lidar-based Positioning
1.5.2 Vision Technology-based Positioning
1.6 Integrated Positioning
1.6.1 Combination of GNSS and IMU
1.6.2 Baidu multi-sensor Positioning Technology Solution
1.6.3 Lane-level Positioning Based on Vision and Radar


2 Positioning Chips, Modules and Related Companies
2.1 u-blox
2.1.1 Development History
2.1.2 Global Operations
2.1.3 Business and Product Technology Roadmap
2.1.4 GNSS Positioning Platform Products
2.1.5 ZED-F9P GNSS Positioning Modules
2.1.6 Global GNSS Correction Services
2.2 STMicroelectronics
2.2.1 Automotive Business
2.2.2 Automotive Business and Core Technology
2.2.3 High-precision Positioning Chip
2.2.4 Teseco APP
2.2.5 ST ASM330LHH
2.3 ADI
2.3.1 Inertial Navigation Products
2.3.2 ADIS16490
2.4 Decawave
2.5 InvenSens
2.6 Bosch


3 Inertial Navigation Positioning Technologies and Companies
3.1 Development trend
3.2 Market size
3.3 DAISCH
3.3.1 Automotive Inertial Navigation System
3.3.2 Key Features and Commercialization of Products
3.4 eCHIEV
3.4.1 GEMINI OpenPilot Platform
3.4.2 EC-MU101 Combined Positioning Units
3.5 Xilang Technology
3.6 StarNeto
3.7 Navtech


4 Signal-based Positioning Technologies and Companies
4.1 Satellite-based High-precision Positioning Technology
4.1.1 Overview of SBAS
4.1.2 Trimble SBAS
4.2 5G-based Positioning Technology
Strengths and Challenges of 5G Positioning
4.3 UWB-based Positioning
4.4 Qianxun SI
4.4.1 Autonomous Driving High-precision Positioning Solution
4.4.2 Telematics High-precision Positioning Solution
4.4.3 Time-Space City Brain Project
4.4.4 Create OEM High-precision Positioning Modules with Quectel
4.4.5 Huawei Vehicle Terminal Integrates Positioning Services of Qianxun SI
4.4.6 Development Trends
4.5 Sapcorda
4.6 Mitsubishi Electric
CLAS Services
4.7 Hi-Target
4.7.1 Positioning Technology Development History
4.7.2 Layout in Autonomous Driving
4.7.3 Hi-RTP Global Positioning Service Technology Solution
4.7.4 Hi-RTP Global Positioning Service Construction Planning and Product Mass Production Solution
4.8 BroadGNSS Technology
4.9 South Survey
4.10 Swift Navigation
4.10.1 Piksi Multi and Duro GPS Receiver
4.10.2 Swift Starling Positioning Engine
4.11 Unistrong
Beidou Navigation Agricultural Machinery Autonomous Driving System
4.12 Kunchen
4.12.1 Hawkeye Ultra-Wideband Positioning System Architecture
4.12.2 Industrial Customers and High-precision Positioning Solution
4.12.3 AVP Application Solution Based on UWB Positioning Technology
4.12.4 Application Cases
4.13 Jingwei Technology


5 Integrated Positioning Technology Solution and Companies
5.1 Integrated Positioning Technology
5.2 Novatel
5.2.1 Product Line
5.2.2 SPAN Inertial Navigation System Configuration and Level 1 System
5.2.3 SPAN Inertial Navigation Level 2/3 System
5.2.4 Inertial Navigation System Application
5.3 Trimble Navigation
5.3.1 Trimble RTX Positioning Technology
5.3.2 Trimble Offers High-precision Positioning for Cadillac
5.4 BDStar Navigation
5.5 CTI
5.6 Starcart
5.7 Baidu
5.7.1 Baidu’s Multi-sensor Fusion Positioning System Architecture
5.7.2 Point Cloud Positioning Algorithm Architecture
5.7.3 RTK Positioning
5.7.4 Inertial Navigation Solution
5.7.5 Multi-module Fusion
5.7.6 Multi-sensor Fusion Positioning Hardware Architecture
5.8 Wayz.ai
5.8.1 Business Layout
5.8.2 Three Services
5.9 AutoNavi (amap.com)
5.9.1 Camera-based Positioning Solution
5.9.2 Integrated Solution Based on HD Map and High-precision Positioning
5.9.3 Technology Roadmap