Shen Zhen Shang Bao·2025-12-16 23:35Core Viewpoint - The official approval of L3 autonomous driving vehicles marks a significant advancement in the transition from assisted driving to higher levels of automation in China [1][7]. Group 1: L3 Autonomous Driving Approval - The Ministry of Industry and Information Technology has granted permission for two L3 autonomous driving models: Changan SC7000AAARBEV and Arcfox BJ7001A61NBEV [1][3]. - L3 level is a critical threshold in autonomous driving, where the system can perform all driving tasks under specific conditions, transferring the driving responsibility from the driver to the system [2][3]. Group 2: Conditions and Limitations - The approval comes with strict conditions, including limitations on vehicle types, designated areas, and speed restrictions. For instance, the Changan model can operate at a maximum speed of 50 km/h in specific urban and highway conditions, while the Arcfox model can reach 80 km/h [3][4]. - The designated testing areas include specific routes in Chongqing and Beijing, ensuring safety and controlled conditions for the deployment of these vehicles [3][5]. Group 3: Technological Background and Advantages - Changan's SC7000AAARBEV features the self-developed "Tianshu Intelligent" driving assistance system, while Arcfox's BJ7001A61NBEV is equipped with Huawei's ADS intelligent driving system [4][5]. - Both companies have a strong technological foundation and extensive testing experience, with Changan reporting over 500,000 kilometers of road testing and a significant number of simulated scenarios [4][5]. Group 4: Industry Implications and Future Outlook - The approval of L3 vehicles is seen as a pivotal step towards enhancing the reliability and commercial viability of autonomous driving in China, potentially leading to widespread adoption in the future [7]. - The automotive industry is transitioning from "technology validation" to "mass production application," with companies encouraged to take on a leading role in demonstrating the capabilities of autonomous vehicles [7].