| 摘要: |
| 目的 以创新汽车产品辅助设计方法研究为主线，对研究进展、相关理论框架、关键技术进行概述。方法 结合文献梳理法和产业调研法分析人工智能在汽车工业设计中的重要意义、发展趋势及应用进展。结果 提出了基于图库的辅助设计、基于语义的辅助设计、造型设计评价三种应用场景的关键技术框架。结论 人工智能在汽车创新设计中的应用不充分，针对研究空缺提出了三种亟待突破的关键技术框架，为汽车企业提供了思路和借鉴。 |
| 关键词: 生成式对抗网络 汽车设计 图像生成 造型设计 |
| DOI：10.19554/j.cnki.1001-3563.2021.18.005 |
| 分类号:TB472 |
| 基金项目:重庆市教委科学技术项目(KJQN202001002);重庆市教委科技项目(KJQN202000516) |
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| Review of Artificial Intelligence Aided Vehicle Styling Design Methods |
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XU Na
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(Sichuan Fine Arts Institute, Chongqing 400053, China)
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| Abstract: |
| This paper aims to summarize the research progress, relevant theoretical framework and key technologies by taking the research on innovative vehicle concept-aided design as the main line. The significance, development trend and application progress of artificial intelligence in automotive industry design were analyzed in depth by combining literature review and industry research. The key technology framework of three application scenarios, namely, gallery aided design, semantic aided design and modeling design evaluation, was proposed. It is found that the application of artificial intelligence (AI) in automobile innovative design is not sufficient in the review of the research status. In view of the research vacancy, three key technical frameworks that need to be broken through are proposed, hoping to provide ideas and reference for automobile enterprises. |
| Key words: generative adversarial network vehicle design image generation modelling design |
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