Table of Content

1. Overview of Autonomous Driving Algorithms
1.1 Overview of Autonomous Driving Algorithms
1.1.1 Overview of Environment Perception Algorithms - Vision
1.1.2 Overview of Environment Perception Algorithms - LiDAR
1.1.3 Overview of Environment Perception Algorithms - Radar
1.1.4 Overview of Environment Perception Algorithms - Multi-Sensor Fusion
1.2 Overview of Decision Planning and Control Actuation Algorithms
1.3 Development of Neural Networks
1.4 Autonomous Driving Algorithm Supply Mode

2. Research on Chip Vendor Algorithm
2.1 Huawei
2.1.1 Smart Vehicle Solutions Department
2.1.2 ADS Autonomous Driving Full-Stack Solution
2.1.3 Core Algorithms
2.1.4 Autonomous Driving Algorithm Development Plan and Ecological Partners
2.2 Horizon Robotics
2.2.1 Profile
2.2.2 Cooperation Model
2.2.3 On-board Computing Platform and Monocular Front-View Solution Algorithm
2.2.4 Autonomous Driving Perception Algorithm Design
2.2.5 Core Algorithm Model
2.2.6 Pilot Assisted Driving Solution and Super Driving Solution Algorithm
2.2.7 Software Open API
2.2.8 Mass Production Results and Algorithm Planning
2.2.9 Cooperation
2.3 Black Sesame
2.3.1 Profile
2.3.2 Perception Algorithm
2.3.3 Latest Algorithm Achievements
2.3.4 Shanhai Tool Chain
2.3.5 Partners
2.3.6 Cooperation
2.4 Genesys Microelectronics
2.5 Mobileye
2.5.1 Profile
2.5.2 Object Recognition Technology
2.5.3 Chip Algorithm Development Process
2.5.4 Vision Algorithms
2.5.5 Current Development and Cooperation
2.6 Qualcomm Arriver
2.6.1 Intro of Arriver
2.6.2 Arriver Visual Perception Algorithm
2.7 NXP
2.8 NVIDIA
2.8.1 Profile
2.8.2 Cooperation Model
2.8.3 Autonomous Vehicle Software Stack
2.8.4 Perception Algorithm
2.8.5 Perception Algorithm Model
2.8.6 Latest Cooperation and Partners

3. Research on Tier 1 & Tier 2 Algorithm
3.1 Momenta
3.1.1 Profile
3.1.2 Core Technology and Products
3.1.3 Application of Momenta Algorithm
3.1.4 Cooperation
3.2 Nullmax
3.2.1 Profile
3.2.2 Visual Perception Module and Product Landing Process
3.2.3 Introduction to the Latest Visual Perception Algorithm
3.2.4 The Landing Process of Algorithm Products
3.2.5 Cooperation and Development Plan
3.3 ArcSoft
3.3.1 Profile
3.3.2 ADAS Technology
3.3.3 BSD and AVM Technologies
3.3.4 One-Stop Vehicle Vision Solution
3.3.5 Recent Dynamics and Major Customers
3.4 JueFX
3.4.1 Profile
3.4.2 Visual Feature Fusion Positioning Solution
3.4.3 Development History of BEV Perception Technology
3.4.4 LiDAR Fusion Location Solution
3.4.5 LiDAR-based Fusion Solution
3.4.6 Cooperation
3.5 ThunderSoft
3.6 Holomatic
3.6.1 Profile
3.6.2 HoloPilot and Its Main Algorithms
3.6.3 HoloParking and Its Main Algorithms
3.6.4 Middleware
3.7 Enjoy Move
3.7.1 Profile
3.7.2 Autonomous Driving Software
3.7.3 Cooperation
3.8 Haomo.ai
3.8.1 Profile
3.8.2 Product Portfolio
3.8.3 Latest Dynamics
3.8.4 MANA system
3.8.5 MANA System - Vision, LiDAR Perception Module
3.8.5 MANA System - Fusion Sensing Module
3.8.5 MANA System - Cognitive Module
3.8.6 Evolution of Perception
3.8.7 Evolution of Cognitive Abilities
3.8.8 New Technology Practice
3.8.9 Recent Algorithm Achievements
3.9 Huanyu Zhixing
3.9.1 Profile
3.9.2 Autonomous Driving Software
3.9.3 Athena 5.0
3.9.4 Development Achievements and Planning
3.10 Valeo
3.10.1 Profile
3.10.2 Typical Algorithm Models
3.11 StradVision
3.11.1 Profile
3.11.2 Vision Product Category & Customers & Timeline
3.11.3 Autonomous Driving Algorithm
3.11.4 Development Trends of Vision Products

4. Algorithm Research of Emerging Automakers and OEMs
4.1 Tesla
4.1.1 Profile
4.1.2 Tesla Algorithm
4.1.3 Multi-camera Fusion Algorithm
4.1.4 Environment Awareness Algorithm
4.1.5 Latest Planning and Decision-making Algorithm
4.2 NIO
4.2.1 Profile
4.2.2 Evolution of NIO Autonomous Driving System
4.2.3 Comparison of NIO Pilot System and NAD System
4.3 Li Auto
4.3.1 Profile
4.3.2 Intelligent Driving Route
4.3.3 Algorithm History
4.3.4 AD Max Intelligent Driving Algorithm Architecture
4.3.5 Layout in Intelligent Driving
4.3.6 Future Development Plan
4.4 Xpeng
4.4.1 Profile
4.4.2 Algorithm and Autonomous Driving Ability Evolution Route
4.4.3 Autonomous Driving Algorithm Architecture
4.4.4 New Perception Architecture
4.4.5 Data Collection, Labeling and Training
4.5 Rising Auto
4.5.1 Profile
4.5.2 RISING PILOT
4.5.3 Full Fusion Algorithm
4.5.4 Full Fusion Algorithm: Application Effect
4.6 Leapmotor
4.6.1 Profile
4.6.2 Full Domain Self-Research
4.6.3 Algorithm Capabilities and Future Planning
4.7 ZEEKR
4.7.1 Profile
4.7.2 ZEEKR’s Mobileye Solution
4.7.3 Cooperation between ZEEKR and Waymo and Self-Developed Algorithm Solution
4.8 BMW
4.8.1 Profile
4.8.2 Algorithms for BMW
4.8.3 Cooperation in Autonomous Driving
4.9 SAIC
4.9.1 SAIC Motor Autonomous Driving Layout
4.9.2 Introduction to Z-ONE Tech
4.9.3 Z-ONE Tech Computing Platform
4.9.4 SAIC Artificial Intelligence Laboratory
4.10 General Motors
4.10.1 General Motors Autonomous Driving Layout
4.10.2 Introduction to Cruise
4.10.3 Cruise perception Algorithm
4.10.4 Cruise Decision Algorithm
4.10.5 Cruise Autonomous Driving Development Tool Chain
4.10.6 Cruise’s Robotaxi and Future Plans


5. Research on Robtaxi Algorithm for L4 Autonomous Driving
5.1 Baidu Apollo
5.1.1 Profile
5.1.2 Driverless Technology Architecture History
5.1.3 Introduction to Perception Algorithm
5.1.4 Autonomous Vehicle Positioning Technology
5.1.5 Latest Highlights Technology
5.2 Pony.ai
5.2.1 Profile
5.2.2 Main Business and Business Model
5.2.3 Core Technology and the Latest Autonomous Driving System Configuration
5.2.4 Sensor Fusion Solution
5.2.5 Cooperation
5.3 WeRide
5.3.1 Profile
5.3.2 WeRide One
5.3.3 Algorithm Modules for WeRide One
5.3.4 Cooperation
5.4 Deeproute.ai
5.4 Deeproute.ai
5.4.1 Profile
5.4.2 Technology
5.4.3 Self-Developed Algorithm
5.4.4 Cooperation and Latest Dynamics
5.5 QCraft
5.5.1 Profile
5.5.2 Products
5.5.3 Hyperfusion Perception Solution
5.5.4 Prediction Algorithm
5.5.5 Planning Algorithm
5.5.6 Classical Algorithm Model
5.5.7 Cooperation
5.6 UISEE Technology
5.6.1 Profile
5.6.2 U-Drive Intelligent Driving System
5.6.3 Visual Positioning Technology
5.6.4 Latest Algorithm
5.6.5 R & D Planning and Partners
5.7 AutoX
5.7.1 Profile
5.7.2 Self-Driving Technology
5.7.3 Self-Driving Fusion Perception System xFusion
5.8 DiDi Autonomous Driving
5.8.1 Profile
5.8.2 Autonomous Driving Technology
5.9 Waymo
5.9.1 Profile
5.9.2 Sensor Product Portfolio
5.9.3 Technology
5.9.4 Behavior Prediction Algorithm
5.9.5 Latest News

6. Development Trend of Autonomous Driving Algorithms

6.1 Algorithm Trend I
6.2 Algorithm Trend II
6.3 Algorithm Trend III
6.4 Algorithm Trend IV
6.5 Algorithm Trend V
6.6 Algorithm Trend VI
6.7 Algorithm Trend VII