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生成式AI协同智能座舱内饰定制化设计的路径与策略OA

Paths and Strategies of Generative AI-Enabled Collaborative Customized Interior Design for Smart Cockpits

中文摘要英文摘要

随着汽车产业向智能化、网联化转型,智能座舱成为衡量汽车竞争力的核心要素,其内饰设计正从标准化转向定制化.传统设计存在用户需求难满足、研发周期长、安全设计存在盲区等问题,而生成式AI凭借数据驱动、多方案生成、动态优化的优势,为解决这些问题提供了关键技术支撑.本文聚焦生成式AI在智能座舱定制化设计中的重要性、应用场景及实施策略,探讨其如何突破传统设计瓶颈,形成从需求洞察到设计落地的高效闭环,为汽车向"个性化移动空间"转型提供参考.

With the transformation of the automotive industry towards intelligence and connectivity,the smart cockpit has become a core factor in measuring a vehicle's competitiveness.Its interior design is shifting from standardization to customization.Traditional design faces issues such as difficulty in meeting user needs,long R&D cycles,and blind spots in safety.Generative AI,with the advantages of data-driven capabilities,multi-solution generation,and dynamic optimization,provides key technical support for solving these problems.This paper explores the importance,application scenarios,and implementation strategies of generative AI in such customized design.Generative AI can break through the bottlenecks of traditional design,form an efficient closed loop from demand insight to design implementation,and provide a reference for the transformation of automobiles into"personalized mobile spaces".

李盛锴;陈牧良

西安科技大学艺术学院,陕西 西安 710699西安科技大学艺术学院,陕西 西安 710699

交通工程

汽车智能座舱人工智能汽车内饰

automotive intelligent cockpitartificial intelligenceautomotive interior

《鞋类工艺与设计》 2026 (5)

117-119,3

10.3969/j.issn.2096-3793.2026-05-039

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