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English(EN) PLS-Calib: A Partial Least Squares Framework for Event Camera and Odometry Calibration under Ground Motion Constraints

新的PLS-Calib框架改进了机器人传感器标定

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了PLS-Calib，一个用于事件相机和里程计系统标定的新框架，特别适用于运动能力有限的机器人。该方法利用偏最小二乘（PLS）回归来解决数值不稳定性问题，并与现有的典型相关分析（CCA）技术相比提高了精度。该框架引入了极性感知事件表示以增强模式检测，并为旋转标定提供了一个稳定、闭式解，通过大量实验进行了验证。 AI

影响 提高了运动能力有限的机器人的标定精度，可能在复杂环境中提高性能。

排序理由 该集群包含一篇详细介绍新技术框架及其验证的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

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 →

新的PLS-Calib框架改进了机器人传感器标定

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该集群包含一篇详细介绍新技术框架及其验证的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Guangyu Li, Xiao Li, Yujie Wu, Changshuo Wang, Prayag Tiwari, Jiang Cai, Fangwen Yu, Mingkun Xu ·

    PLS-Calib：基于地面运动约束的事件相机和里程计的偏最小二乘校准框架

    arXiv:2608.03296v1 Announce Type: cross Abstract: Accurate extrinsic rotation calibration between sensors is fundamental to the performance of robotic perception systems. However, most existing calibration techniques rely on full 6-DoF motion to excite all degrees of freedom, whi…

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