(Image source: Photo.com)
On April 28, Musk visited China, and his private jet landed at the capital's Beijing airport. Foreign media said that Musk's visit to China was to discuss the possibility of Tesla's self-driving software FSD landing in China. Previously, on April 20, Musk also replied to questions from netizens on social platforms and said that Tesla's FSD may soon be able to enter China.
According to The Paper, a source revealed that Tesla will use the advanced driver assistance map (Gaofu map) provided by Baidu Maps for the Chinese version of FSD. Baidu officials declined to comment on the news.
He Xiaopeng, chairman of Chinese electric vehicle manufacturer Xpeng Motors, said on Moments, "I am particularly welcoming Tesla FSD to China. They are all representatives of the new quality of productivity, and should support the blooming of a hundred flowers. ”
Tesla responded that there is no timetable for FSD to enter China.
It is worth noting that on the first day of Musk's visit to China, the China Automobile Association officially issued the "Notice on the Testing of 4 Safety Requirements for Automotive Data Processing (First Batch)", Tesla's domestically produced Model 3 and Model Y both meet the compliance requirements of automotive data, becoming the only foreign-funded enterprise that meets the compliance requirements.
Tesla said that they have passed the authoritative standards and requirements for national vehicle data security, which is conducive to the full lifting of the ban on driving and parking restrictions on smart cars such as Tesla.
According to the latest data, the loading rate of L2 assisted driving functions of domestic new energy vehicles has approached 40% in the first half of 2023. This shows that the application of autonomous driving technology in the Chinese market is increasing rapidly.
Level 2 driver assistance technology refers to the ability of a vehicle to achieve functions such as automatic acceleration, braking, and steering under certain conditions, but still requires the driver to be vigilant and ready to take over control while the vehicle is in operation.
China, the United States, Germany, and Japan are the main sources of autonomous driving technology
From the perspective of geographical distribution of patents, China's innovation activity in the field of lidar, millimeter-wave radar, ultrasonic radar and other subdivided technologies ranks first in the world, and the number of patents is leading. In addition, the United States, Japan, Germany and other countries have a wide range of patents for autonomous driving-related technologies. From the perspective of applicants, Bosch, Denso, Toyota, Huawei and other companies are the main applicants for patents related to autonomous driving.
Mass production of Level 4 and Level 5 autonomous vehicles is just around the corner
With the strong support of the government, the development of mobile Internet technology and the widespread popularity of mobile phones, vehicle companies have entered the field of intelligent networked vehicles in order to improve the added value of their products, and began to equip ADAS products. Great Wall Motor, BAIC Group, Changan Automobile, Guangzhou Automobile Group and other companies have successively released their development strategies for intelligent networked vehicles. At present, Continental has basically achieved the mass production of L3 autonomous vehicles, and it is expected that the mass production of L4 and L5 autonomous vehicles will be fully realized in 2022-2025.
The intelligent computing center has the greatest application potential in the field of autonomous driving
According to the "2022-2023 Chinese Intelligent Computing Power Development Assessment Report" jointly released by IDC and Inspur Information, at present, the application of artificial intelligence in smart transportation, smart finance, biometrics and other fields has been quite mature. In the future, artificial intelligence has great potential for development in the fields of autonomous driving, intelligent scientific research, and AIGC, especially autonomous driving is the most potential application scenario. As a key infrastructure to support the application of artificial intelligence, the intelligent computing center integrates data, computing power, algorithms and other elements to provide assistance for the rapid development of autonomous driving.
With the continuous penetration of assisted driving technology and the continuous development of automotive software and hardware technology, it is expected to accelerate the process of high-level autonomous driving on the road, thereby promoting the continuous growth of autonomous driving software and hardware suppliers. In addition, infrastructure providers are expected to benefit from increased requirements for road infrastructure for high-level autonomous driving.
Prospective Economist APP Information Group
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