Core Viewpoint - The article discusses the recent testing of advanced driver-assistance systems (ADAS) conducted by Dongche Di, highlighting both successful and unsuccessful performances across various vehicle models in simulated accident scenarios. Group 1: Testing Overview - The testing involved 15 ADAS-related subjects and nearly 40 vehicle models from major brands like Xiaomi and Tesla, using real accident scenarios for simulation [8]. - The results showed that only 3 out of 15 urban scenarios had a passing rate above 50%, indicating overall poor performance in high-difficulty situations [21]. Group 2: Testing Methodology and Concerns - There were criticisms regarding the use of fabric vehicles instead of real cars for testing, with the rationale being that laser radar is more sensitive to metal than fabric [11][13]. - The article emphasizes the importance of establishing credible testing standards, suggesting that collaboration with authoritative institutions could enhance the credibility of the testing process [27][29]. Group 3: Implications for the Industry - The testing results serve as a wake-up call for brands that emphasize autonomous driving features, as the overall performance was subpar across the board [24]. - The article suggests that for Dongche Di to transition from merely conducting tests to establishing standards, it must engage more with industry stakeholders and regulatory bodies [29].

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].

Core Viewpoint - Harmony Smart Mobility has chosen not to comment on the recent testing conducted by a certain platform, which has sparked significant controversy regarding the evaluation of various models' assisted driving capabilities [1] Group 1 - Harmony Smart Mobility acknowledged the existence of the so-called "test" by a certain platform but opted not to provide any comments [1] - The testing results were part of a program called "Understanding Car Intelligence Arena," which evaluated 36 vehicle models, including the AITO M9, AITO M7, AITO M8, and Zhijie R7 [1] - The evaluation results have generated considerable debate within the industry [1]

Core Viewpoint - The launch of the large-scale popular science program "Understanding Car Intelligence" by Beijing Dongchedi Technology Co., Ltd. aims to educate consumers on the proper use of advanced driver-assistance systems (ADAS) and highlight the safety risks associated with over-reliance on these technologies [1][2] Group 1: Program Overview - The program features over 40 models from more than 20 popular brands equipped with comprehensive ADAS, simulating 15 high-risk accident scenarios in urban and highway settings [1] - The overall pass rate for the simulated scenarios is below 50%, with only three urban scenarios exceeding this threshold, indicating significant safety concerns when relying on ADAS [1][2] Group 2: Safety Insights - The program emphasizes that current ADAS capabilities have considerable room for improvement, and users should not fully trust or depend on these systems [2] - A reminder is issued that while the program's results do not represent the performance of the vehicles in all scenarios, the existing ADAS cannot handle certain complex and dangerous traffic situations effectively [2] Group 3: Industry Implications - The lack of certified Level 3 autonomous driving products in the domestic market means that users are primarily operating Level 2 systems, which require constant driver attention [2] - The initiative by Dongchedi is seen as significant for raising consumer awareness about the correct understanding of ADAS and the importance of driver safety [2]