基于全球索引的点云切片发布处理

Point Cloud Slicing and Publishing Processing Based on Global Index

针对现有点云数据切片处理在数据追加和局部更新方面存在一定的不足,提出了一种基于全球索引切片发布的处理方法。解决了在处理海量点云数据的过程中效率较低的问题,实现了基于全球索引的点云切片处理。基于本研究结果表明:本方法不仅可以高效处理海量点云数据,还可以提供数据追加和更新等方式,为后续的数据更新和发布提供极大地便利,研究结果可应用于海量点云切片处理。

The LiDAR point cloud data slicing processing in terms of data addition and partial update is insufficient,so a slicing and publishing processing method based on global index was proposed.The problem of low efficiency in processing massive point cloud data was solved,and point cloud slicing processing based on global index was realized.Based on the results of this study,it was shown that this method could not only efficiently process massive point cloud data,but also provided a data addition and update method,which provided great convenience for subsequent data update,and the research results could be applied to massive point cloud slice processing.