摘要
点云是在三维空间层面完整表达周围环境的重要数据形式。传统的自主移动机器人通过激光雷达或者RGBD相机等传感器可以获取点云数据。点云分割是认知与理解点云数据中所携带的信息的重要方法。本文对点云分割,包括传统点云分割、点云语义分割、点云实例分割等的发展现状进行了分析与阐述。
Point cloud is a full expression in three-dimensional space level environment around the important data in the form of the traditional autonomous mobile robot by me-ans of laser radar or RGBD cameras and other sensors can get point cloud data point cloud segmentation is the cognition and understanding of point cloud data of the important way to carry information in this paper,the point cloud segmentation,including traditional semantic point cloud segmentation point cloud segmentation of point cloud instances such as segmentation development situation are analyzed and expounded.
出处
《计量与测试技术》
2021年第7期52-55,共4页
Metrology & Measurement Technique
关键词
点云
语义
实例
分割
point cloud
semantic
instance
segmentation
