东吴汽车黄细里团队·2025-10-29 14:25Core Insights - 2025 is identified as a pivotal year for automotive intelligence, initiating a three-year cycle that will elevate domestic electrification penetration rates to 50%-80%+, leading to a restructuring of the automotive landscape [4][10] - Leading intelligent driving manufacturers have successfully implemented complex urban scenarios such as roundabouts and U-turns, enhancing high-level functionalities like parking and scene understanding, thereby improving the driving experience for passengers and safety personnel [4][10] Investment Highlights - A comprehensive evaluation of six intelligent driving manufacturers, including ZunJie, Xiaopeng, Zhiji, Ideal, Xiaomi, and NIO, was conducted through large sample concentrated road tests and small sample in-depth road tests, focusing on scene implementation, takeover frequency, and comfort [5][10] - The keyword for the Beijing intelligent driving assessment is "stronger gets stronger," with Huawei and Xiaopeng leading in overall takeover counts and performance across various scenarios, particularly excelling in challenging situations [5][10] - Compared to Q1, the gap in intelligent driving capabilities among manufacturers has been narrowing by Q3, with second-tier manufacturers improving their performance in complex urban scenarios and reducing takeover frequencies [6][10] Road Test Overview - The large sample concentrated road test involved a standardized route in Beijing, assessing various performance metrics such as overall evaluation, takeover counts, stability, and efficiency [41][40] - The small sample in-depth road tests were conducted under varying traffic conditions, focusing on specific scenarios like roundabouts and complex intersections to evaluate the vehicles' decision-making and interaction capabilities [61][72] Manufacturer Performance - ZunJie achieved the highest overall evaluation score with an average takeover count of 1.16, demonstrating strong performance in challenging scenarios [44] - Xiaopeng's XOS model exhibited the lowest average takeover count at 0.94, showcasing balanced performance across various scenarios [48] - Zhiji's IM AD 3.0 received a score of 3.55 with an average takeover count of 1.44, indicating good handling of complex situations [49] - Ideal's OTA 8.0 scored 3.20 with a lower average takeover count of 1.06, reflecting a conservative driving style [52] - Xiaomi's V1.9.7 had an average takeover count of 3.86, indicating variability in performance across different scenarios [55] - NIO's cedar model recorded an average takeover count of 4.14, effectively covering most urban intelligent driving scenarios [58]