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Line-Based Registration of Panoramic Images and LiDAR Point Clouds for Mobile Mapping

机译:用于移动地图的全景图像和LiDAR点云的基于行的配准

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摘要

For multi-sensor integrated systems, such as the mobile mapping system (MMS), data fusion at sensor-level, i.e., the 2D-3D registration between an optical camera and LiDAR, is a prerequisite for higher level fusion and further applications. This paper proposes a line-based registration method for panoramic images and a LiDAR point cloud collected by a MMS. We first introduce the system configuration and specification, including the coordinate systems of the MMS, the 3D LiDAR scanners, and the two panoramic camera models. We then establish the line-based transformation model for the panoramic camera. Finally, the proposed registration method is evaluated for two types of camera models by visual inspection and quantitative comparison. The results demonstrate that the line-based registration method can significantly improve the alignment of the panoramic image and the LiDAR datasets under either the ideal spherical or the rigorous panoramic camera model, with the latter being more reliable.
机译:对于诸如移动制图系统(MMS)之类的多传感器集成系统,传感器级别的数据融合(即光学相机和LiDAR之间的2D-3D配准)是更高级别融合和进一步应用的先决条件。提出了一种基于行的全景图像配准方法和彩信所收集的LiDAR点云。我们首先介绍系统配置和规格,包括MMS的坐标系,3D LiDAR扫描仪和两个全景摄像头模型。然后,我们为全景相机建立基于线的变换模型。最后,通过视觉检查和定量比较,针对两种类型的相机模型评估了拟议的配准方法。结果表明,基于线的配准方法可以在理想球形或严格全景相机模型下显着改善全景图像和LiDAR数据集的对齐方式,后者更为可靠。

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