4年筹备，北汽驶入L3级自动驾驶“快车道”

Core Insights - The article discusses the significant progress in L3-level autonomous driving in China, highlighting the issuance of special license plates for L3 vehicles and the approval of conditional access for specific models [1][2][5] Group 1: L3-Level Autonomous Driving Development - Beijing has issued the first special license plates for L3-level autonomous vehicles to three models from Beijing Automotive Group, marking a milestone in the commercialization of autonomous driving [1] - The Ministry of Industry and Information Technology has granted conditional access for the first L3-level models, including the BAIC Arcfox Alpha S and Changan Automobile's Deep Blue SL03, allowing them to operate in designated areas [1][5] - The development of L3-level vehicles has taken four years, including two years of preparation and two years of implementation, with active participation in the formulation of local regulations [5][6] Group 2: Safety Features and Regulations - The BAIC Arcfox Alpha S (L3 version) is equipped with 34 high-performance sensors, including three LiDARs, and features a dual-redundancy design to enhance safety during autonomous driving [2][6] - The L3-level license comes with restrictions, such as limited road segments and a maximum speed of 80 km/h, allowing autonomous driving only in single lanes without lane changes [2][3] - The transition from testing to licensing indicates that the L3-level vehicles are now ready for mass production and delivery, pending the establishment of relevant national regulations [3][4] Group 3: Future Prospects and Challenges - The L3-level is seen as a critical juncture in the evolution of autonomous driving, bridging the gap between L2 and higher levels of automation [6][7] - Future advancements in L3-level driving will require overcoming three core challenges: improving perception redundancy and long-tail scenario coverage, establishing unified accident liability standards, and enhancing traffic regulation infrastructure [7] - The company aims to focus on safety and algorithm development while expanding the testing and validation framework to support broader deployment of L3-level vehicles [7]