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POINT CLOUD DATA EXTRACTION METHOD AND POINT CLOUD DATA EXTRACTION DEVICE

机译:点云数据提取方法和点云数据提取装置

摘要

[Problem] To easily and automatically extract analysis-target point cloud data as to a structure as an analysis target from point cloud data as to a measurement route acquired over the entire perimeter of a measurement device.[Solution] Target point cloud data as point cloud data as to a specific road is extracted from entire perimeter point cloud data acquired by moving a road surface measurement device 300 along a measurement route and scanning the perimeter of the device. An extraction device 100 stores, in a data storage unit 110, the entire perimeter point cloud data and locus point string data representing a locus of movement of the road surface measurement device 300 on the measurement route as a plurality of locus points, acquires, by a locus point string setting unit 120, a locus point string equally spaced from the locus point string data, sets, by an extraction area setting unit 130, as an extraction area, a columnar area Ci and a parallelepiped area Hi each as a geometrical area arranged at a predetermined position below a locus point Xi, and extracts, by an approximate nearest neighbor processing unit 140 and an extraction processing unit 150, as target point cloud data, point data in the entire perimeter point cloud data belonging to this extraction area.
机译:[问题]以容易地和自动提取分析 - 目标点云数据作为从点云数据的分析目标,从点云数据到在测量设备的整个周边获取的测量路由中。[解决方案]目标点云数据作为点通过沿着测量路线移动路面测量装置300并扫描设备的周边来从整个周边点云数据中提取到特定道路的云数据。提取装置100在数据存储单元110中存储整个周边点云数据和轨迹点串数据,表示作为多个轨迹点的测量路线上的路面测量装置300上的路面测量装置300的移动轨迹,获取,通过轨迹点串设置单元120,轨迹点串等于轨迹点串数据,由提取区域设置单元130设置为提取区域,柱状区域CI和平行六边形区域作为几何区域在轨迹点Xi下方的预定位置布置,并且通过近似最近邻处理单元140和提取处理单元150提取,作为目标点云数据,在属于该提取区域的整个周边点云数据中的点数据。

著录项

  • 公开/公告号EP3531068B1

    专利类型

  • 公开/公告日2021-09-22

    原文格式PDF

  • 申请/专利权人 RIKEN;TOPCON CORPORATION;

    申请/专利号EP20180760902

  • 申请日2018-02-28

  • 分类号G06T7/11;G06T7/174;G01B21;G01C7/04;

  • 国家 EP

  • 入库时间 2022-08-24 21:11:41

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