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元戎启行的量产时刻
Jing Ji Guan Cha Bao· 2025-05-16 03:09
Group 1 - The intelligent driving industry is undergoing a dual reassessment of technology and capital due to stricter regulations and industry norms, with a focus on "explainability," "high availability," and "scalable mass production capabilities" [2] - Yuanrong Qixing, established in 2019, is attempting to build recognition through its VLA model (Vision-Language-Action) that evolves from an end-to-end architecture [2][5] - The VLA model incorporates natural language understanding and generation capabilities, allowing the system to provide behavior explanations in complex scenarios, such as recognizing and adapting to variable traffic rules [5][6] Group 2 - In 2023, Yuanrong Qixing partnered with Great Wall Motors, launching the Weipai Lanshan model, which sold over 30,000 units in four months, capturing approximately 15% of the urban NOA market by Q4 2024 [6][7] - The company has raised a total of $300 million from investors including Alibaba, with an additional $100 million investment from Great Wall Motors, aimed at technology R&D, advancing the VLA model, and expanding overseas [6][7] - Yuanrong Qixing's Mapfree solution reduces reliance on high-precision maps, achieving point-to-point driving assistance at one-third the cost of traditional mapping solutions, reflecting a trend towards reducing dependency on external resources [6][7] Group 3 - By early 2025, Yuanrong Qixing plans to have 10 models in mass production, with over five models featuring the VLA model, amidst a projected increase in domestic L2 and above driving assistance penetration to 65% by 2025 [7] - The industry is shifting from "function addition" to "system capability competition," with automakers increasingly considering system stability, product explainability, and scenario coverage in their procurement logic [7] - The current phase represents a critical window for Yuanrong Qixing to validate its VLA model's engineering capabilities and establish a broader network of partnerships with OEMs [7]