研究人员开发了一种新颖的流水线，用于校准相机和LiDAR传感器，无需物理目标。该方法联合估计相机的内在参数（包括畸变）以及定义相机和LiDAR之间相对位置和方向的外在参数。该方法利用深度学习进行像素点对应，并将其与非线性优化过程相结合，以同时优化两组校准参数。 AI
影响 为传感器校准引入了一种更鲁棒和自动化的方法，这对于自主系统至关重要。
排序理由 该集群包含一篇详细介绍传感器校准新方法的学术论文。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
新方法联合校准相机-LiDAR，无需目标
报道来源 [2]
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Joint Target-Less Intrinsic and Extrinsic Camera-LiDAR Calibration using Deep Point Correspondences
arXiv:2605.23397v1 Announce Type: new Abstract: Accurate camera-LiDAR calibration is a prerequisite for robust multi-modal perception in robotics. Recent target-less approaches based on deep point correspondences achieve remarkable performance for extrinsic calibration but assume…
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Joint Target-Less Intrinsic and Extrinsic Camera-LiDAR Calibration using Deep Point Correspondences
Accurate camera-LiDAR calibration is a prerequisite for robust multi-modal perception in robotics. Recent target-less approaches based on deep point correspondences achieve remarkable performance for extrinsic calibration but assume rectified images with known intrinsics. In this…