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English(EN) Accurate Measurement of 3D and 2D Circular Centers With Application to LiDAR-Camera Extrinsic Calibration

新方法提升激光雷达-摄像头标定精度

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一种精确测量3D和2D圆形中心点的新方法，这对于涉及激光雷达和摄像头等空间传感器的任务至关重要。该技术通过采用一种共形几何代数估计器并结合RANSAC，从嘈杂的激光雷达数据中精确恢复3D中心点、法线和半径，从而解决了传统流水线中的偏差。此外，它还使用弦长方差准则来改进2D投影中心点的估计，并通过单应性验证来解决歧义。实验证明，该方法在圆形中心点测量方面提高了精度，并减少了激光雷达-摄像头系统的外参标定误差。 AI

影响 改进了依赖传感器融合的AI系统的基础几何感知能力。

排序理由 该集群包含一篇详细介绍计算机视觉任务新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新方法提升激光雷达-摄像头标定精度

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该集群包含一篇详细介绍计算机视觉任务新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Jiajun Jiang, Xiao Hu, Wancheng Liu, Wei Jiang ·

    基于激光雷达-相机外参标定的三维及二维圆形中心精确测量方法

    arXiv:2511.06611v2 Announce Type: replace Abstract: Accurate measurement of circular centers is a fun-damental geometric sensing problem in instrumentation and measurement tasks involving cameras, LiDARs, and other spa-tial sensors. In circular-target-based LiDAR-camera extrinsic…

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