【重磅深度】2025年主流车企城市NOA试驾报告—11月深圳篇

Core Insights - 2025 is identified as a pivotal year for automotive intelligence, initiating a three-year cycle that will elevate domestic electrification penetration rates to over 50%-80%, leading to a restructuring of the automotive landscape [4][11] - Leading intelligent driving manufacturers have successfully implemented complex urban scenarios such as roundabouts and U-turns, enhancing high-level functionalities like parking from space to space and scene understanding, thereby improving the driving experience for passengers and safety personnel [4][11] Group 1: Intelligent Driving Experience Evaluation - A comprehensive evaluation was conducted on seven intelligent driving manufacturers, including AITO, Blue Mountain, Xiaopeng, Ideal, Tengshi, Xiaomi, and NIO, using both large sample concentrated road tests and small sample in-depth road tests, focusing on scene realization, takeover frequency, and comfort [5][11] - The report does not rank the intelligent capabilities of specific manufacturers due to subjective factors and real-world conditions affecting the evaluation [5][11] Group 2: Performance Trends - Compared to Q1, the performance gap among manufacturers in Q4 is narrowing, with the second-tier manufacturers improving their capabilities in urban scenarios like roundabouts and U-turns, and showing a significant reduction in takeover frequency [7][11] - The first-tier manufacturers are currently undergoing a foundational architecture transition, with tangible results expected to be validated through iterative improvements [7][11] Group 3: Specific Manufacturer Insights - In Shenzhen, the intelligent driving systems must handle complex scenarios such as roadside parking and narrow road navigation, with proactive understanding being more suitable [6][11] - Huawei and Xiaopeng lead in overall takeover frequency and performance across various scenarios, particularly excelling in challenging situations [6][11] - Wei brand Blue Mountain demonstrated strong capabilities in handling complex scenarios during large sample concentrated road tests [6][11] Group 4: Road Test Methodology - The concentrated road test involved nearly 50 participants testing various models along a standardized route, while the small sample in-depth tests were conducted by the same evaluators under similar conditions to ensure consistency [12][15] - The concentrated road test aimed to assess the overall performance, reliability, and efficiency of the intelligent driving systems under real-world conditions [41][12] Group 5: Technical Developments - The report highlights advancements in intelligent driving technologies, including the latest iterations of systems from manufacturers like Huawei, Xiaopeng, and NIO, showcasing improvements in perception and decision-making capabilities [19][20][27] - Each manufacturer has adopted different hardware and software solutions, with most having developed their own intelligent driving chips [36][36]