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Updated: May 11, 2026

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy
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Published on: December 9, 2013

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单值值分解 (SVD) 方法用于LiDAR和摄像头传感器融合和模式匹配算法

Kaiqiao Tian1, Meiqi Song2, Ka C Cheok1

  • 1Electrical and Computer Engineering, Oakland University, Rochester, MI 48309, USA.

Sensors (Basel, Switzerland)
|July 12, 2025
PubMed
概括

本研究介绍了一种使用单值分解 (SVD) 和梯度下降 (GD) 的无目标算法,以精确对准自动驾驶汽车的LiDAR和摄像头数据. 该方法显著提高了传感器的融合精度,将错误减少到一个像素以下.

关键词:
激光雷达和相机数据传感器的融合.错误检测 错误检测 错误检测 错误检测 错误检测 错误检测梯度下降的降落方式模式匹配的模式匹配单一价值分解分解的方法

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