懂车帝的测试可信吗？

Core Viewpoint - The testing conducted by Dongche Di, which simulated real accident scenarios to evaluate the performance of various driver assistance systems, yielded mixed results, highlighting both successful and unsuccessful outcomes across different vehicle models [1][3]. Group 1: Testing Overview - The test involved 15 driver assistance-related subjects and nearly 40 vehicle models from mainstream brands such as Xiaomi and Tesla, using real accident scenarios for simulation [6][8]. - The results indicated that only 3 out of 15 urban scenarios had a passing rate above 50%, with specific scenarios like highway night construction and child pedestrian situations showing only 47% and 58% success rates, respectively [23]. Group 2: Methodology and Criticism - The testing methodology faced scrutiny regarding its execution and the use of fabric vehicles instead of real cars, raising questions about the validity of the results, especially for models relying on laser radar technology [10][12]. - Despite criticisms, the testing was deemed to have social value, as it aimed to assess the practical applicability of testing standards in real-world scenarios [8][9]. Group 3: Industry Implications - The results of the tests could potentially benefit brands that emphasize autonomous driving features, as the overall performance across various models was subpar in challenging scenarios [26]. - The testing process highlighted the need for industry-wide collaboration in establishing testing standards, suggesting that Dongche Di should involve authoritative organizations to enhance credibility and address concerns about bias [31][38].