忠阳车评“准入许可”不等于大规模量产

Core Viewpoint - The issuance of the first L3-level autonomous driving vehicle license plates in Beijing marks a significant milestone in China's autonomous driving industry, transitioning from technology validation to mass production application [2][3]. Group 1: Regulatory Developments - The Ministry of Industry and Information Technology has officially granted the first L3-level conditional autonomous driving vehicle permits, allowing specific models from Changan Automobile and BAIC Group to conduct pilot tests on designated highways in Beijing and Chongqing [2][3]. - The L3-level autonomous driving is a critical transition from "driving assistance" to "autonomous driving," where the system can perform driving tasks under certain conditions without continuous driver monitoring [3]. Group 2: Market Context - In the first three quarters of the year, the sales of new passenger cars equipped with L2-level driving assistance features increased by 21.2%, achieving a penetration rate of 64% [3]. - The approval of these two autonomous driving models is seen as a recognition of technological maturity and a response to societal expectations for future smart mobility [3]. Group 3: Implementation and Limitations - The permits come with strict limitations regarding operational scenarios, road types, urban areas, and speed limits, indicating a cautious approach to the rollout of L3-level autonomous driving [4][5]. - The current pilot program does not open these vehicles to the general public but is limited to specific organizations conducting trial operations, emphasizing a careful regulatory framework to ensure safety [4][5]. Group 4: Future Outlook - The true commercialization of L3-level autonomous driving requires not only technological breakthroughs but also supportive policies, industry ecosystems, and infrastructure [5]. - The current approach of "small-scale initiation with conditional implementation" reflects the complexity and safety risks associated with autonomous driving systems, indicating that widespread adoption is still a long way off [5].