Technological Logic and Future Trends of AIGC Empowering Automotive Design

XU Xun; LI Yajun; ZHAO Sixing

doi:10.19554/j.cnki.1001-3563.2025.22.029

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Packaging Engineering ›› 2025, Vol. 46 ›› Issue (22) : 319-330. DOI: 10.19554/j.cnki.1001-3563.2025.22.029

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Technological Logic and Future Trends of AIGC Empowering Automotive Design

XU Xun^1,2, LI Yajun^1,*, ZHAO Sixing³

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Abstract

The work aims to explore the historical development of Artificial Intelligence Generated Content (AIGC), and its technological logic, application methods, existing issues, and future trends in automotive design. Recent literature and application cases from both domestic and international contexts were reviewed to analyze the technological platforms, application steps, and main technical categories of AIGC in automotive design. Specific application scenarios empowered by AIGC were investigated, with a focus on four key areas: exterior design and style continuity, cabin design and experience optimization, HMI design and trustworthy interaction, as well as digital twins and autonomous driving. The challenges and trends of AIGC in automotive design were discussed in relation to the industry demands of autonomous driving and human-vehicle collaboration. AIGC demonstrates significant potential in automotive design. It can enhance design efficiency and user experience, foster trust in human-machine interaction, and facilitate human-vehicle collaboration in HMI design. In the future, breakthroughs in intelligent design and further development of intelligent driving are expected to be driven by AIGC.

Key words

artificial intelligence generated content (AIGC) / automotive design / generative adversarial networks / image generation

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XU Xun, LI Yajun, ZHAO Sixing. Technological Logic and Future Trends of AIGC Empowering Automotive Design[J]. Packaging Engineering. 2025, 46(22): 319-330 https://doi.org/10.19554/j.cnki.1001-3563.2025.22.029

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