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English(EN) Simplified Cross-Modal Calibration for Heterogeneous Event-RGB Stereo Systems

新校准方法简化事件-RGB立体视觉系统

研究人员开发了一种新的、简化的方法来校准异构事件-RGB立体视觉系统。该方法通过使用标准屏幕上显示的特制ChArUco靶标,消除了对传感器运动或精确同步的需求。该方法对事件数据进行离散化、去噪并执行校准,与现有技术相比,重投影误差显著降低,并展示了在机器人应用中的实际效用。 AI

影响 这种简化的校准方法可以加速依赖异构传感器融合的先进机器人视觉系统的部署。

排序理由 该集群包含一篇详细介绍新技术的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.CV 阅读 →

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新校准方法简化事件-RGB立体视觉系统

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该集群包含一篇详细介绍新技术的研究论文。[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) · Nico Hessenthaler, Adam T. M\"uller, Nicolaj C. Stache ·

    异构事件-RGB立体系统的简化跨模态校准

    arXiv:2608.22965v1 Announce Type: new Abstract: Accurate extrinsic calibration between event-based and frame-based cameras remains a practical bottleneck for heterogeneous stereo systems. Existing approaches often require sensor or target motion, precise synchronization, or compu…