Semantic line framework-based indoor building modeling using backpacked laser scanning point cloud

C Wang, S Hou, C Wen, Z Gong, Q Li, X Sun… - ISPRS journal of …, 2018 - Elsevier
Indoor building models are essential in many indoor applications. These models are
composed of the primitives of the buildings, such as the ceilings, floors, walls, windows, and …

Automatic 3-D reconstruction of indoor environment with mobile laser scanning point clouds

Y Cui, Q Li, B Yang, W Xiao, C Chen… - IEEE Journal of …, 2019 - ieeexplore.ieee.org
Three-dimensional (3-D) modeling of indoor environment plays an important role in various
applications such as indoor navigation, Building Information Modeling (BIM), interactive …

Semantic geometric modelling of unstructured indoor point cloud

W Shi, W Ahmed, N Li, W Fan, H Xiang… - … international journal of …, 2018 - mdpi.com
A method capable of automatically reconstructing 3D building models with semantic
information from the unstructured 3D point cloud of indoor scenes is presented in this paper …

Semantic interpretation of mobile laser scanner point clouds in indoor scenes using trajectories

S Nikoohemat, M Peter, S Oude Elberink… - Remote sensing, 2018 - mdpi.com
The data acquisition with Indoor Mobile Laser Scanners (IMLS) is quick, low-cost and
accurate for indoor 3D modeling. Besides a point cloud, an IMLS also provides the trajectory …

Extracting 3-D structural lines of building from ALS point clouds using graph neural network embedded with corner information

T Jiang, Y Wang, Z Zhang, S Liu, L Dai… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
The representation quantifies the geometric shape and topology of a building is a necessary
procedure for many urban planning applications. A sharp line framework is a high-level …

Automatic indoor reconstruction from point clouds in multi-room environments with curved walls

F Yang, G Zhou, F Su, X Zuo, L Tang, Y Liang, H Zhu… - Sensors, 2019 - mdpi.com
Recent developments in laser scanning systems have inspired substantial interest in indoor
modeling. Semantically rich indoor models are required in many fields. Despite the rapid …

Deep learning-based classification and reconstruction of residential scenes from large-scale point clouds

L Zhang, L Zhang - IEEE Transactions on Geoscience and …, 2017 - ieeexplore.ieee.org
The reconstruction of urban buildings from large-scale airborne laser scanning point clouds
is an important research topic in the geoscience field. Large-scale urban scenes usually …

Automated semantics and topology representation of residential-building space using floor-plan raster maps

B Yang, T Jiang, W Wu, Y Zhou… - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
Automatically representing the semantics and topology of indoor building spaces from floor-
plans is necessary for many applications, such as architectural design and indoor …

Semantic-based building extraction from LiDAR point clouds using contexts and optimization in complex environment

Y Wang, T Jiang, M Yu, S Tao, J Sun, S Liu - Sensors, 2020 - mdpi.com
The extraction of buildings has been an essential part of the field of LiDAR point clouds
processing in recent years. However, it is still challenging to extract buildings from huge …

Improved building facade segmentation through digital twin-enabled RandLA-Net with empirical intensity correction model

MB Maru, Y Wang, H Kim, H Yoon, S Park - Journal of Building Engineering, 2023 - Elsevier
Abstract The Architectural Engineering and Construction (AEC) industry can benefit from
accurate building facade segmentation, which can provide valuable insights into building …