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Integrating large language models (LLMs) into autonomous driving enhances personalization and adaptability in open-world scenarios.
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Y. Hu, J. Yang, L. Chen, K. Li, C. Sima, X. Zhu, S. Chai, S. Du, T. Lin, W. Wang et al. , “Planning-oriented autonomous driving,” in Proc. CVPR , 2023, pp. 17 853–17 862
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2024
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2023
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2023
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J. Chen, F. Mao, Z. Lv, and J. Tang, “EdgeFD: An edge-friendly drift-aware fault diagnosis system for industrial IoT,” in IEEE International Conference on Communication Technology , Wuxi, China, Oct. 2023, pp. 390–396
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