Improved Density Clustering for Spacing Measurement of Irregular Rebar Mesh from 3D Point Clouds

首页 > 成果 > 详情

认领

导出

Link by DOI

反馈

作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Fengling Li*;Zezhou Long;Hongwei Hu;Kai Gao

通讯作者：

Fengling Li

作者机构：

[Hongwei Hu] Professor, College of Automobile and Mechanical Engineering, Changsha Univ. of Science and Technology, Changsha 410114, China

[Zezhou Long] Postgraduate Student, College of Automobile and Mechanical Engineering, Changsha Univ. of Science and Technology, Changsha 410114, China

Associate Professor, College of Mechanical and Vehicle Engineering, Changsha Univ. of Science and Technology, Changsha 410114, China

[Kai Gao] Associate Professor, College of Automobile and Mechanical Engineering, Changsha Univ. of Science and Technology, Changsha 410114, China

[Fengling Li] Associate Professor, College of Mechanical and Vehicle Engineering, Changsha Univ. of Science and Technology, Changsha 410114, China

通讯机构：

[Fengling Li] A

Associate Professor, College of Mechanical and Vehicle Engineering, Changsha Univ. of Science and Technology, Changsha 410114, China

语种：

英文

期刊：

JOURNAL OF SURVEYING ENGINEERING

ISSN：

0733-9453

年：

2025

卷：

151

期：

页码：

04025005

DOI：

10.1061/JSUED2.SUENG-1551

机构署名：

本校为第一且通讯机构

院系归属：

汽车与机械工程学院

摘要：

Proper spacing of rebar mesh is essential for structural integrity and safety, but measuring the spacing performance in three-dimensional (3D) space can be complicated. Existing spacing verification either relies on well-annotated data or encounters challenges when dealing with obscured point clouds. To address these challenges, we propose a novel approach using a projection clustering algorithm. Initially, we project the 3D point cloud onto a frontal view and perform density peak clustering in two directions, enabling accurate recognition of vertical and horizontal boundaries. Then, we iterat...

反馈

产权有误：本人成果被他人认领

数据有误：数据基本信息有误

归属有误：成果的院系归属、机构署名归属有误

其他原因：

验证码：

看不清楚，换一个

确定

取消

成果认领

标题：

用户	作者	通讯作者	--
	请选择	请选择	--

确定

取消

Improved Density Clustering for Spacing Measurement of Irregular Rebar Mesh from 3D Point Clouds

反馈

成果认领

提示

该栏目需要登录且有访问权限才可以访问