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English(EN) AI-Based End-to-End Automotive Design and Software Development for SDVs

AI在汽车软件和车辆动力学研究中的进展

作者 PulseAugur 编辑部 · [2 个来源] ·

两篇最新的arXiv论文探讨了AI在不同领域的先进应用。第一篇论文详细介绍了一个由AI驱动的工具链，该工具链利用大型语言模型和模型驱动工程来自动化软件定义汽车（SDV）的汽车软件开发，旨在提高自动化程度和质量保证。第二篇论文介绍了一种名为“Sensitivity-Orthogonal Residual Learning”的新型机器学习技术，旨在通过解耦估算来提高车辆侧滑和转弯刚度的估算精度。 AI

影响 这些论文突显了AI在专业领域日益增长的作用，从自动化复杂的软件工程任务到改进车辆动力学估算。

排序理由 在arXiv上发表的两篇不同的研究论文。

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

AI在汽车软件和车辆动力学研究中的进展

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在arXiv上发表的两篇不同的研究论文。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Nenad Petrovic, Alois Knoll ·

    AI-Based End-to-End Automotive Design and Software Development for SDVs

    arXiv:2610.29160v1 Announce Type: cross Abstract: This paper explores the potential of Artificial Intelligence (AI) to enable end-to-end automotive design and software development for Software-Defined Vehicles (SDVs). Based on our contributions within the Central Car Server (CeCa…

  2. arXiv cs.LG TIER_1 English(EN) · Kyoungtae Ji, Dongyeol Won, Kyoungseok Han ·

    面向自适应侧滑和转弯刚度估计的敏感性-正交残差学习

    arXiv:2610.27586v1 Announce Type: cross Abstract: Online adaptation of the cornering stiffness keeps a model-based sideslip estimator valid as tires change, but competes with learned model correction for the same filter innovation. A corrector with enough parameters can absorb th…

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