首页> 外国专利> POINT CLOUD INTENSITY COMPLETION METHOD AND SYSTEM BASED ON SEMANTIC SEGMENTATION

POINT CLOUD INTENSITY COMPLETION METHOD AND SYSTEM BASED ON SEMANTIC SEGMENTATION

机译:基于语义分割的点云强度补全方法及系统

摘要

A point cloud intensity completion method and system based on semantic segmentation are provided. The point cloud intensity completion method includes: acquiring an RGB image and point cloud data of a road surface synchronously by a photographic camera and a lidar; performing spatial transformation on the point cloud data by using a conversion matrix to generate a two-dimensional reflection intensity projection map and a two-dimensional depth projection map; performing reflection intensity completion on the RGB image and the two-dimensional reflection intensity projection map to obtain a single-channel reflection intensity projection map; performing depth completion on the RGB image and the two-dimensional depth projection map to obtain a single-channel depth projection map; and performing coarse-grained completion on the RGB image, the single-channel reflection intensity projection map and the single-channel depth projection map to obtain a two-dimensional coarse-grained reflectance intensity projection map.
机译:提出了一种基于语义分割的点云强度补全方法和系统。所述点云强度补全方法包括:通过摄像机和激光雷达同步获取道路表面的RGB图像和点云数据;利用转换矩阵对点云数据进行空间变换,生成二维反射强度投影图和二维深度投影图;对RGB图像和二维反射强度投影图执行反射强度补全,以获得单通道反射强度投影图;对RGB图像和二维深度投影图进行深度补全,以获得单通道深度投影图;以及对RGB图像、单通道反射强度投影图和单通道深度投影图进行粗粒度完成,以获得二维粗粒度反射强度投影图。

著录项

  • 公开/公告号US2022101548A1

    专利类型

  • 公开/公告日2022-03-31

    原文格式PDF

  • 申请/专利权人 TSINGHUA UNIVERSITY;

    申请/专利号US202117485402

  • 申请日2021-09-25

  • 分类号G06T7/521;G06T7/11;G06T7/187;G06T5/50;G06T3/40;G06T3/60;

  • 国家 US

  • 入库时间 2022-08-25 00:11:04

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