电气传动2026，Vol.56Issue(5)：70-75,6.DOI:10.19457/j.1001-2095.dqcd26444
基于点云配准的变电站三维地图构建方法
Substation 3D Map Construction Method Based on Point Cloud Registration
摘要
Abstract
Aiming at the scarcity of real label data caused by equipment occlusion in the construction of substation 3D map,a 3D map construction method was proposed based on semi-supervised deep closest point(SEMI-DCP).Firstly,the iterative closest point algorithm was used to generate pseudo-labels for the registered point cloud data,and the complex occlusion scenes were effectively dealt with by selecting appropriate pseudo-labels.Secondly,combined with a small amount of real label and pseudo-label data,the accuracy and convergence of the point cloud registration model were gradually improved through the alternating iteration method.Finally,the model was trained and tested on the ModelNet40 dataset.The experimental results show that the proposed method based on semi-supervised deep point cloud registration is superior to the traditional method,especially in the case of scarce real label data.关键词
变电站三维地图/半监督学习/深度点云配准/伪标签/迭代最近点算法Key words
substation 3D map/semi-supervised learning/deep closest point(DCP)/pseudo labelling/iterative closest point(ICP)algorithm分类
信息技术与安全科学引用本文复制引用
李军,吴喜春,余浩睿,向晨光,李海丰..基于点云配准的变电站三维地图构建方法[J].电气传动,2026,56(5):70-75,6.基金项目
国网湖北省电力有限公司科技项目(SGHBYC00BYJS2400810) （SGHBYC00BYJS2400810）
