专家称复刻的“小米爆燃事故”场景不难 L2新强标“50CM纸箱”试验几乎全军覆没

Core Insights - The L2 mandatory national standard includes a test scenario that closely replicates the "3·29 Tongling Xiaomi SU7 explosion accident," highlighting the need for improved safety measures in intelligent driving systems [1][3] - The L2 mandatory national standard is being developed with significant input from Huawei and domestic automakers, driven by the recent accident that has intensified discussions on the safety of assisted driving features [3][6] Summary by Sections L2 Mandatory National Standard - The draft of the L2 mandatory national standard was released for public consultation on September 17, 2023, by the Ministry of Industry and Information Technology [3] - The standard includes challenging test scenarios, such as detecting and responding to a 50CM cardboard box obstacle, which relies heavily on high-performance LiDAR technology [1][6] Industry Response - Industry executives have indicated that the new version of the L2 standard has slightly relaxed some requirements compared to the initial draft, but the overall difficulty remains high [6][7] - The standard aims to significantly raise the entry barriers for L2 capabilities, requiring extensive testing across various conditions and scenarios [7][8] Implementation Timeline - The L2 mandatory national standard is set to be implemented on January 1, 2027, with a transition period of 13 months for new model approvals and 25 months for existing approved models [7][8] - The testing requirements will include a wide range of scenarios, such as day/night conditions, construction zones, and interactions with various types of vehicles and obstacles [7] Technological Challenges - Current pure vision-based intelligent driving solutions are unlikely to meet the new standard requirements, as even Tesla's HW3.0 version cannot comply [8] - The testing distance for the L2 standard is set at 200 meters, which poses challenges for vision-based systems under adverse weather conditions, necessitating multi-sensor fusion for safety redundancy [8]