The "2024 Research Report on the Market Operation Situation and Development Prospects of China's End-to-end Autonomous Driving Industry" (hereinafter referred to as the "Report") carefully compiled by the expert team of Zhiyan Consulting was released, which aims to analyze the future market trend of the end-to-end autonomous driving industry, tap the development potential of the end-to-end autonomous driving industry, predict the development prospects of the end-to-end autonomous driving industry, and help the high-quality development of the end-to-end autonomous driving industry.
The "2024 China End-to-end Autonomous Driving Industry Market Operation Situation and Development Prospect Research Report" consists of eight chapters, including an overview of the end-to-end autonomous driving industry, an analysis of China's end-to-end autonomous driving development environment, an analysis of basic technologies in the field of end-to-end autonomous driving, an analysis of the development status of China's end-to-end autonomous driving technology, an analysis of the application of end-to-end autonomous driving technology in the Internet of Vehicles, an analysis of key enterprises in the field of China's end-to-end autonomous driving, and an analysis of investment opportunities in China's end-to-end autonomous driving industry chain. Forecast and analysis of China's end-to-end autonomous driving technology development prospect. The table of contents of the report is as follows:
Table of Contents of "2024 Research Report on the Market Operation Situation and Development Prospects of China's End-to-end Autonomous Driving Industry" (1)
Table of Contents of "2024 Research Report on the Market Operation Situation and Development Prospects of China's End-to-end Autonomous Driving Industry" (2)
Table of Contents of "2024 Research Report on the Market Operation Situation and Development Prospects of China's End-to-end Autonomous Driving Industry" (3)
Table of Contents of "2024 China End-to-end Autonomous Driving Industry Market Operation Situation and Development Prospect Research Report" (4)
Table of Contents of "2024 Research Report on the Market Operation Situation and Development Prospect of China's End-to-end Autonomous Driving Industry" (5)
Table of Contents of "2024 China End-to-end Autonomous Driving Industry Market Operation Situation and Development Prospect Research Report" (6)
Table of Contents of "2024 China End-to-end Autonomous Driving Industry Market Operation Situation and Development Prospect Research Report" (7)
Table of Contents of "2024 Research Report on the Market Operation Situation and Development Prospects of China's End-to-end Autonomous Driving Industry" (8)
An overview of the end-to-end autonomous driving industry:
Autonomous driving technology is a cutting-edge technological innovation that enables cars to drive automatically and safely without direct human intervention by integrating multiple advanced technologies such as artificial intelligence, visual computing, radar, monitoring devices, and global positioning systems.
Autonomous driving algorithm systems are divided into two categories: end-to-end autonomous driving and modular autonomous driving. The modular autonomous driving system is divided into three layers: perception, decision-making, and execution. End-to-end autonomous driving is the "integration of perception and decision-making", emphasizing perception and ignoring maps, and the vehicle directly sends the information collected by the sensors to the deep learning neural network, and directly outputs the driving commands of the autonomous vehicle after processing.
An overview of the end-to-end autonomous driving industry
Autonomous Technology Ecosystem:
The autonomous driving system corresponds to the bicycle software system and some hardware facilities in the autonomous driving ecosystem, and is mainly composed of three subsystems: perception subsystem, planning subsystem and control subsystem. At present, the empowerment of AI for autonomous driving is mainly reflected in the perception link and the prediction link connecting perception and planning. Explore an end-to-end autonomous driving solution that integrates the three subsystems of perception, planning, and control into a single whole, trained and optimized through large-scale datasets and deep learning techniques.
Autonomous driving technology ecosystem
China's end-to-end autonomous driving technology development progress:
In the past two years, end-to-end autonomous driving technology, as a cutting-edge breakthrough in the field of autonomous driving, is driving changes in the entire industry at an unprecedented speed. This technology revolutionizes the process of moving away from the complex modular design of traditional autonomous driving systems in favor of advanced AI models that directly enable end-to-end processing from sensor data input to vehicle control command output. This simplification not only significantly improves the response speed of the system and enables the vehicle to adapt more quickly to the complex and changing road environment, but also greatly enhances the generalization ability of the technology, enabling it to achieve efficient and safe autonomous driving in different scenarios.
As a pioneer in this field, Tesla continues to deepen its end-to-end autonomous driving technology, training its neural network model through massive real-world driving data, and continuously optimizing algorithms to improve the performance and stability of the end-to-end autonomous driving system. At the same time, emerging domestic forces such as Xpeng Motors are also keeping up with the pace, accelerating the iteration of their own end-to-end intelligent driving technology, and constantly broadening the application boundaries of autonomous driving technology through technological innovation and scenario implementation.
In addition, Huawei and other communication technology companies have built an efficient and safe end-to-end autonomous driving solution based on their deep accumulation in the fields of communication technology, cloud computing, and AI, and are committed to achieving a higher level of commercial application of autonomous driving.
In 2024, domestic car companies will quickly get on the car and plan for end-to-end solutions
This report is a work that systematically analyzes the development status of China's end-to-end autonomous driving industry in 2024, which has important reference value for a comprehensive understanding of the development status of China's end-to-end autonomous driving industry and academic research and practice related to the development of the end-to-end autonomous driving industry.
Data Description:
1. The core data of this report is updated to December 2023, mainly based on Chinese mainland data, and a small amount of global and related regional data.
2. In addition to the first-hand research information and data, authoritative data sources such as the National Bureau of Statistics, China Customs, industry associations, and public reports of listed companies (prospectuses, transfer prospectuses, annual editions, inquiry reports, etc.) also constitute the data sources of this report. The first-hand data comes from the first-hand information data obtained by the research team from interviews with key enterprises in the industry, and the main interview subjects include corporate executives, industry experts, technical leaders, downstream customers, distributors, agents, distributors and upstream raw material suppliers. Secondary sources mainly include relevant industry news, company annual reports, non-profit organizations, industry associations, government agencies and third-party databases from around the world.
3. The core data of the report is based on the company's strict data collection, screening, processing, analysis system and independent calculation model to ensure the accuracy and reliability of statistical data.
4. The data used in this report are all from compliance channels, and the analysis logic is based on the professional understanding of the Zhiyan team, which clearly and accurately reflects the research views of analysts.