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一个普通自动驾驶算法工程师的2025年
自动驾驶之心· 2026-01-15 12:28
Core Viewpoint - The article discusses the significant advancements in the autonomous driving industry in 2025, focusing on the evolution of L2, L3, and L4 levels of autonomous driving technology, highlighting both the opportunities and challenges faced by the industry [3][11]. Group 1: L2 Level Developments - In 2025, L3 autonomous driving technology began to gain regulatory approval, leading to a decline in the previously popular "L2++" concept, with all consumer-facing smart driving functions now categorized as L2 [6][8]. - BYD initiated the "smart driving equality" movement by integrating its self-developed "Tian Shen Zhi Yan" system into lower-priced models, making advanced features accessible to more consumers [8]. - Traditional automakers like Geely and Chery followed suit, expanding mid-level assisted driving features to a broader market, contributing to a wave of widespread smart driving adoption [8][10]. - The market saw an increase in domestic smart driving suppliers like Momenta expanding into overseas markets, securing contracts with established automakers [8][10]. Group 2: L3 Level Developments - The end of 2025 marked a turning point for L3 autonomous driving, with the Ministry of Industry and Information Technology granting approval for the first L3 conditional autonomous driving models, including the BAIC Arcfox Alpha S and Changan Deep Blue SL03 [12][14]. - These models can operate under specific conditions, with the Arcfox capable of speeds up to 80 km/h on designated roads, marking a significant shift in responsibility from drivers to manufacturers and system suppliers [14][15]. - The approval of L3 technology is expected to reshape the industry landscape, potentially becoming a benchmark for measuring the leading players in the autonomous driving sector in 2026 [15]. Group 3: L4 Level Developments - 2025 was a pivotal year for L4 autonomous driving, witnessing a resurgence in capital investment and the beginning of commercial viability, with companies like Pony.ai and WeRide going public and raising significant funds [16][17]. - L4 technology demonstrated its commercial potential in specific applications, such as autonomous mining trucks and urban delivery vehicles, achieving operational efficiencies and cost reductions [19][23]. - The industry consensus shifted from a focus on technological idealism to practical commercial applications, emphasizing the importance of production capabilities and operational efficiency [23]. Group 4: Industry Insights and Future Outlook - The article emphasizes the need for continuous learning and adaptation within the autonomous driving sector, as technological advancements and market dynamics evolve rapidly [24][29]. - The growing application of autonomous driving technology across various urban and logistical scenarios in China reflects the country's leadership in the global autonomous driving landscape [29].