Semi-supervised learning-based point cloud network for segmentation of 3D tunnel scenes-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Semi-supervised learning-based point cloud network for segmentation of 3D tunnel scenes

Published:2023-02 Issue: Volume:146 Page:104668
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Ji Ankang,Zhou Yunxiang,Zhang Limao,Tiong Robert L.K.,Xue Xiaolong

Funder

National Office for Philosophy and Social Sciences

National Natural Science Foundation of China

Huazhong University of Science and Technology

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference57 articles.

1. Intelligent approach to estimation of tunnel-induced ground settlement using wavelet packet and support vector machines;Zhang;J. Comput. Civ. Eng.,2017

2. Multi-objective optimization for improved project management: Current status and future directions;Guo;Autom. Constr.,2022

3. Automated detection and decomposition of railway tunnels from Mobile laser scanning datasets;Sánchez-Rodríguez;Autom. Constr.,2018

4. Global sensitivity analysis of tunnel-induced building movements by a precise metamodel;Liu;J. Comput. Civ. Eng.,2017

5. A tunnel information modelling framework to support management, simulations and visualisations in mechanised tunnelling projects;Koch;Autom. Constr.,2017

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancing 3D point cloud understanding through deep transfer learning: A comprehensive survey;Information Fusion;2025-01

2. Advancements in point cloud-based 3D defect classification and segmentation for industrial systems: A comprehensive survey;Information Fusion;2024-12

3. Deep learning applications for point clouds in the construction industry;Automation in Construction;2024-12

4. Safety evaluation method for operational shield tunnels based on semi-supervised learning and a stacking algorithm;Tunnelling and Underground Space Technology;2024-11

5. Cost-effective image recognition of water leakage in metro tunnels using self-supervised learning;Automation in Construction;2024-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3