从测试阶段到商业化应用 我国首批L3级自动驾驶车型产品获得准入许可
Zheng Quan Shi Bao Wang·2025-12-15 12:20

Core Viewpoint - China's L3 level conditional autonomous driving has taken a significant step from testing to commercial application with the approval of the first batch of L3 vehicles for road trials in designated areas of Beijing and Chongqing [1][2]. Group 1: Vehicle Approvals - The Ministry of Industry and Information Technology has granted conditional approval for two L3 level autonomous driving models from Changan Automobile and BAIC Blue Valley Magna Automotive [1]. - The Changan SC7000AAARBEV can operate autonomously in congested traffic and on highways at a maximum speed of 50 km/h, limited to specific routes in Chongqing [1]. - The Arcfox BJ7001A61NBEV can achieve autonomous driving on highways and urban expressways at a maximum speed of 80 km/h, restricted to certain routes in Beijing [2]. Group 2: Industry Trends - There has been a significant increase in investment by automotive companies in intelligent driving technology, leading to rapid updates and iterations in smart driving capabilities [2]. - The continuous decline in hardware costs, maturity of software algorithms, and application of large models are facilitating the transition from L2 to L3/L4 levels of autonomous driving [2]. - Intelligent configurations are increasingly becoming standard options in vehicles priced between 100,000 to 200,000 yuan, indicating a shift from high-end features to basic options in smart connected vehicles [2]. Group 3: Regulatory Environment - The regulatory framework has clearly defined the application scenarios for L3 functions, currently limited to highways and expressways, with urban conditions not yet open for testing [3]. - The industry anticipates that the responsibility for accidents during autonomous driving will lie with the vehicle manufacturers, while the driver's responsibility will shift if they refuse to take control [3]. - The optimization of technology by trial companies and the progress of opening new testing scenarios are expected to significantly influence the transition of autonomous driving from testing to commercial application [3].