Can't Deny China's Intelligent Driving Technology

Recently, a car information platform released a series of simulation testing videos on intelligent driving assistance, showing that Tesla's two models performed well, while domestic brands underperformed, sparking controversy. Even the public discourse has seen a lot of blind denial of China's intelligent driving technology, which is worth cautioning.

Media or third-party institutions are not prohibited from conducting car intelligent driving tests, but it must be done in a scientific and rigorous manner with recognized evaluation standards. Intelligent driving testing involves the systematic verification of multiple factors such as algorithm boundaries, physical limits, reaction time delays, sensing logic, and redundant mechanisms. From the current open information, this platform has customized its own standards and methods without going through the accreditation steps of organizations with CMA (China Metrology Recognition) or CNAS (China National Accreditation Service for Conformity Assessment) qualifications, making the entire testing process unprofessional and the results difficult to be convincing.

With the rapid development of automobile intelligence, intelligent driving has become an important field in the industry. With policy support, technological innovation, and market demand driving it forward, over the past year, the application of large models has accelerated, big data and algorithm capabilities have continued to improve, and China's intelligent driving technology has experienced rapid iteration and breakthroughs, especially for combined driving assistance which has entered the mass production stage. Human-computer interaction technologies are leading globally, gradually becoming an important force in leading global automotive technological reforms. According to data from the Ministry of Industry and Information Technology, as of 2024, China's penetration rate for vehicles equipped with L2-level combined driving assistance reached 57.3%, forming a leading advantage in the intelligentization track.

In the industry, the number of installed units is often used as an important indicator to measure the technological and production leadership of enterprises. Data shows that by the end of 2024, the cumulative installation rate of city NOA (Navigation Assistance for Driving) systems in various cities has Momenta (Momenta), Huawei (Hi-model), and Yutong (Yutong) occupying the top three positions. Worth noting is that on July 15th this year, BMW announced its cooperation with Momenta to develop a new generation of intelligent driving assistance solutions for the Chinese market. Mercedes-Benz also partnered with Momenta to launch city navigation assistance services in China. Audi has chosen a more diversified cooperation path but has also included Chinese intelligent driving enterprises such as Huawei and Momenta into its supplier system. The three major luxury car brands have collectively embraced China's intelligent driving solution, highlighting the leading strength of China's intelligent driving technology.

Not only are the three major luxury car brands adopting China's intelligent driving solutions. For example, Toyota, Honda, and Nissan, Japan's three major brands, have all partnered with Momenta to introduce their intelligent driving technologies. Many domestic intelligent driving solution companies are also gradually entering the supply chain of international automobile enterprises, continuously expanding their global reach in the field of intelligent driving.

In some key hardware areas for intelligent driving, Chinese companies have achieved reverse output to overseas markets due to technological and cost advantages. For example, Huase Technology and Sooteng Creative will export laser radar to European car manufacturers and robot companies. Currently, China's laser radar brand has a global market share of over 60%.

Of course, China's leading position in intelligent driving technology does not mean that there are no limitations. Due to the complexity and edge cases of real-life driving scenarios, intelligent driving assistance needs to continue breaking through technical bottlenecks from "usable" to "good". Currently, the automotive "intelligent" systems installed on vehicles have not yet achieved the goal of automatic driving, and drivers remain the ultimate responsible subjects.

Intelligent driving is an actual application of artificial intelligence in automobiles and transportation, one of the most important trends in the global automotive industry. It is also a key to accelerating China's formation of new production forces and seizing the future strategic high ground of the automotive industry. As a necessary path to higher-level autonomous driving (L3 level and above), the technology, data, and experience accumulated during the intelligent assistance phase are crucial for achieving safe and reliable automatic driving. Therefore, we cannot be discouraged by a single unprofessional testing result or blindly confident in others' words. Instead, we should maintain clear awareness and strategic calmness on the new track, and continuously solidify and expand the advantages of new energy automotive industry development through intelligence.