期刊
BUILDINGS
卷 11, 期 9, 页码 -出版社
MDPI
DOI: 10.3390/buildings11090386
关键词
simultaneous localization and mapping (SLAM) 1; non-overlap 2; terrestrial laser scanning (TLS) 3; point clouds 4; 3D mapping 5
资金
- Aalto University School of Engineering Tenure track (Digital Photogrammetry) funding
- Academy of Finland [293389, 314312, 323783, 326246]
- European Social Fund [S21997]
- City of Helsinki Innovation fund
- Academy of Finland (AKA) [323783, 314312, 314312, 323783] Funding Source: Academy of Finland (AKA)
This study proposes a novel indoor mapping strategy that uses SLAM laser scanner to support building-scale registration of non-overlapping TLS point clouds, improving efficiency and accuracy in measurements.
An efficient 3D survey of a complex indoor environment remains a challenging task, especially if the accuracy requirements for the geometric data are high for instance in building information modeling (BIM) or construction. The registration of non-overlapping terrestrial laser scanning (TLS) point clouds is laborious. We propose a novel indoor mapping strategy that uses a simultaneous localization and mapping (SLAM) laser scanner (LS) to support the building-scale registration of non-overlapping TLS point clouds in order to reconstruct comprehensive building floor/3D maps. This strategy improves efficiency since it allows georeferenced TLS data to only be collected from those parts of the building that require such accuracy. The rest of the building is measured with SLAM LS accuracy. Based on the results of the case study, the introduced method can locate non-overlapping TLS point clouds with an accuracy of 18-51 mm using target sphere comparison.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据