This year's government work report proposes to vigorously develop new generation intelligent terminals and intelligent manufacturing equipment such as intelligent connected new energy vehicles. Intelligent connected new energy vehicles have been included in the government work report for two consecutive years. The industry generally believes that 2025 is a crucial year for the acceleration of intelligent driving for all, and in the future, intelligent driving will become a "standard" for cars, just like air conditioning and seats. So, what signals have been released by current policies? What impact will 'equal rights for intelligent driving' have on the industry and consumers? What is the trend of the future intelligent connected vehicle industry? Currently, China has introduced a series of policies that are favorable for the development of the intelligent connected new energy vehicle industry, releasing positive signals. Recently, the relevant person in charge of the Ministry of Industry and Information Technology stated that they will urgently formulate the development plan for the intelligent connected new energy vehicle industry in the new era, strengthen departmental coordination, improve support policies, continuously consolidate and expand the competitive advantages of the industry, and solidly promote the high-quality development of China's automobile industry. Accelerate the industrialization of autonomous driving, promote the pilot of intelligent connected vehicle access and road traffic, improve the standard system, conditionally approve the production access of L3 level autonomous driving vehicles, and promote the improvement of laws and regulations such as road traffic safety insurance. From April 1, the Regulations of autonomous vehicle officially came into force, making specific provisions for the first time for the automatic driving test of personal passenger vehicles above L3 level on the road; In Nanshan District, Shenzhen, the first batch of pilot licenses for market-oriented operation of intelligent connected vehicles have been issued, which means that intelligent connected vehicles can achieve city level application scenarios; Shanghai has opened a total of 1586 autonomous driving test roads with a total length of 2767 kilometers, achieving interconnectivity between Pudong Airport, Pudong Jinqiao, and Lingang New Area... Many places are accelerating the construction of an intelligent connected new energy vehicle industry ecosystem, running out of China's "acceleration". Since the beginning of this year, more and more car companies have introduced smart driving systems into more cost-effective models, making "smart driving equality" and "universal smart driving" industry buzzwords. The competition in the car market has also shifted from a "price war" to a "smart driving war". The concept of 'equal rights for intelligent driving' involves cost control and universal access to intelligent driving products, based on the technological and product innovation of enterprises. This is of great significance for the improvement of supply chains, industrial chains, and industrial transformation and upgrading, and consumers will inevitably benefit from it. But 'equal rights for intelligent driving' also need to prevent excessive 'internal competition' in the industry Deng Zhidong, a professor in the Department of Computer Science and Technology at Tsinghua University and director of the Visual Intelligence Research Center at the Institute of Artificial Intelligence, told reporters. Security issues are crucial. The transformation of the automotive industry from electrification to intelligence brings new opportunities and challenges one after another. From high-speed NOA (autonomous navigation assisted driving) to urban NOA, technological challenges continue to rise, placing higher demands on software algorithms, hardware computing power, and system collaboration capabilities. Miao Wei, former Minister of the Ministry of Industry and Information Technology, stated at the book launch conference of "Aiming to Overthrow: China's Solution for Intelligent Connected Vehicles" that relying solely on the intelligence of individual bicycles cannot break through the "ceiling" of cost and safety. At present, the intelligent driving products launched by car companies have improved their understanding of complex traffic environments, but there is still significant room for development. Technologically, it is necessary to further enhance the spatial and dynamic temporal understanding capabilities of the Visual Language Action Model (VLA) with the support of various advanced multimodal models Deng Zhidong stated. The integration of vehicle, road, and cloud will be the optimal choice. China's "Classification of Automotive Driving Automation" standard, which will be implemented in March 2022, divides autonomous driving into 6 levels. Among them, L0 to L2 are driving assistance, and the driver needs to monitor the entire driving process; L3 is conditional autonomous driving, where the driver takes over in emergency situations; L4 stands for highly automated driving; L5 is fully autonomous driving. Data shows that the penetration rate of L2 and above assisted driving passenger cars in China has exceeded 55% in the first half of 2024. At present, auto enterprises have started mass production of L3 autonomous vehicle. What other conditions are required to achieve L4 level autonomous driving? Vehicle road cloud integration is an important path to achieving high-level autonomous driving. Among them, mobile communication technologies such as 5G and 5G-A, with their low latency and large bandwidth, can better achieve information exchange and control between different traffic participants. Miao Wei stated that China's integrated vehicle road cloud solution demonstrates a high degree of systematicity and synergy, and is the optimal choice for realizing the industrialization, low-cost, and wide coverage development of intelligent vehicles. If there is construction on the road, early warning can be issued to vehicles and drivers within a distance of several hundred meters to one kilometer through the network Zhu Konglin, a professor and doctoral supervisor at the School of Artificial Intelligence at Beijing University of Posts and Telecommunications, told reporters that China still needs to solve the coverage problem of vehicle road cloud integration, including C-V2X networks, and communication terminals need to be equipped on the vehicle end. Wu Hequan, academician of the CAE Member, predicted that the integration of car, road and cloud could reduce traffic accidents by 80%. China needs to make every effort to break through the one-stage end-to-end autonomous driving solution, continuously enhance the spatiotemporal understanding ability and decision-making reasoning ability of VLA, and focus on large-scale high-quality pre training datasets and large-scale AI computing power. At the same time, attention should be paid to addressing issues such as the construction and operation costs, as well as profit mechanisms, of the vehicle road cloud integrated infrastructure Deng Zhidong said. In addition, insiders said that it is necessary to accelerate the construction of a national legal system for autonomous driving, set up exclusive insurance for autonomous vehicle, including compulsory traffic insurance, commercial insurance, three liability insurance, etc., and strictly standardize the terms and applicable scenarios of intelligent driving, autonomous driving, unmanned driving, and fully autonomous driving, so as to avoid exaggeration of propaganda by automobile enterprises. As a new phenomenon, the emergence of NOA intelligent driving products has reduced the labor intensity of human driving and provided a new user driving experience; On the other hand, we also need to enhance the safety monitoring function of intelligent driving products, strengthen intelligent driving safety training, improve the vehicle road cloud infrastructure, and optimize relevant laws and regulations, always taking life safety as the bottom line and red line for the development of autonomous driving technology and industry Deng Zhidong said. (New Society)