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English(EN) Star-Fusion: A Multi-modal Transformer Architecture for Discrete Celestial Orientation via Spherical Topology

Star-Fusion Transformer架构改进了航天器的天体定向

研究人员开发了Star-Fusion,这是一种新颖的多模态Transformer架构,用于航天器导航中的精确天体定向确定。该方法将问题重新构建为离散拓扑分类任务,利用球形K-Means聚类来处理天体球面非欧几里得拓扑的复杂性。该架构集成了SwinV2-Tiny Transformer进行特征提取,卷积热图分支进行空间定位,以及MLP进行几何锚定。实验结果表明,Star-Fusion的Top-1准确率达到93.4%,推理延迟为18.4毫秒,适合实时在轨卫星应用。 AI

影响 这种新架构可以提高自主航天器导航系统的准确性和效率。

排序理由 这是一篇描述针对特定技术问题的模型新架构的研究论文。

在 arXiv cs.CV 阅读 →

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Star-Fusion Transformer架构改进了航天器的天体定向

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报道来源 [3]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Star-Fusion:一种用于离散天体定向的球形拓扑多模态Transformer架构

    Reliable celestial attitude determination is a critical requirement for autonomous spacecraft navigation, yet traditional "Lost-in-Space" (LIS) algorithms often suffer from high computational overhead and sensitivity to sensor-induced noise. While deep learning has emerged as a p…

  2. arXiv cs.CV TIER_1 English(EN) · May Hammad, Menatallh Hammad ·

    Star-Fusion:一种用于离散天体定向的球形拓扑多模态Transformer架构

    arXiv:2604.26582v1 Announce Type: new Abstract: Reliable celestial attitude determination is a critical requirement for autonomous spacecraft navigation, yet traditional "Lost-in-Space" (LIS) algorithms often suffer from high computational overhead and sensitivity to sensor-induc…

  3. arXiv cs.CV TIER_1 English(EN) · Menatallh Hammad ·

    Star-Fusion:一种用于离散天体定向的球形拓扑多模态Transformer架构

    Reliable celestial attitude determination is a critical requirement for autonomous spacecraft navigation, yet traditional "Lost-in-Space" (LIS) algorithms often suffer from high computational overhead and sensitivity to sensor-induced noise. While deep learning has emerged as a p…