Towards automated multi-view point cloud registration of indoor scenes using deep learning
Construction Robot|更新时间:2025-11-05
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Towards automated multi-view point cloud registration of indoor scenes using deep learning
“In the field of pre delivery dimensional quality inspection of houses, experts have proposed an indoor multi view point cloud automatic registration method based on deep learning, which effectively improves the detection efficiency and accuracy.”
Journal of Civil and Environmental EngineeringVol. 47, Issue 5, Pages: 12-22(2025)
作者机构:
1.重庆大学,土木工程学院,重庆 400045
2.重庆大学,自动化学院,重庆 400045
3.中铁建工集团有限公司,北京 100160
作者简介:
LIU Jiepeng (1978- ), PhD, professor, main research interests: hybrid structure and intelligent construction, E-mail: liujp@cqu.edu.cn.
LI Dongsheng (corresponding author), PhD, E-mail: lds@cqu.edu.cn.
基金信息:
National Natural Science Foundation of China(52130801;52108283)
LIU Jiepeng,HU Xiao,LI Dongsheng,et al.Towards automated multi-view point cloud registration of indoor scenes using deep learning[J].Journal of Civil and Environmental Engineering,2025,47(05):12-22.
LIU Jiepeng,HU Xiao,LI Dongsheng,et al.Towards automated multi-view point cloud registration of indoor scenes using deep learning[J].Journal of Civil and Environmental Engineering,2025,47(05):12-22. DOI: 10.11835/j.issn.2096-6717.2024.058.
Towards automated multi-view point cloud registration of indoor scenes using deep learning