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36款热门车高危智驾场景测试,“团灭”!
第一财经·2025-07-25 04:50

Core Viewpoint - The article highlights the significant shortcomings of current advanced driver-assistance systems (ADAS) in popular vehicles, emphasizing that no tested model passed all simulated high-risk driving scenarios, indicating potential safety risks for users who overly rely on these systems [1][5][12]. Summary by Sections Testing Overview - A recent large-scale test involved over 36 popular vehicle models from more than 20 brands, simulating 15 high-risk driving scenarios in urban and highway settings [6][7]. - The overall pass rate for these scenarios was low, with only three urban scenarios exceeding a 50% pass rate, while the majority of highway scenarios had pass rates below 50% [1][6]. Performance by Vehicle - Tesla's Model 3 and Model X performed the best among the tested vehicles, with Model 3 failing only one scenario and Model X failing one as well [10]. - Other models, such as the Zhijie R7 and Wanjie M9, had pass rates above 50% in both urban and highway scenarios, with prices ranging from 300,000 to 500,000 yuan [10][11]. - Notably, high-priced vehicles did not necessarily correlate with better ADAS performance, as some lower-priced models performed well in tests [11][12]. Safety Implications - Experts warn that current ADAS features are inadequate for handling complex and dangerous traffic situations, stressing the importance of driver readiness to take control of the vehicle at all times [4][12]. - The article references a significant incident involving a Xiaomi vehicle that raised public concern about automotive safety, leading to increased scrutiny of ADAS capabilities [15][16]. Regulatory Context - Recent government communications clarify that existing "smart driving" systems are still in the ADAS phase and do not equate to full automation, placing the responsibility on drivers to remain attentive [16][17]. - The article emphasizes the need for clear guidelines and accountability in the development and deployment of automated driving technologies to mitigate risks [17].