AUTOMATIC PROCESSING OF MOBILE LASER SCANNER POINT CLOUDS FOR BUILDING FAÇADE DETECTION

11 citations as recorded by crossref.

1. Facade-3DGS: Purely vision-based facade orthophoto generation for buildings and streetscapes via 3D Gaussian Splatting X. Liu et al. https://doi.org/10.1016/j.jobe.2026.117254
2. Fusion of images and point clouds for the semantic segmentation of large-scale 3D scenes based on deep learning R. Zhang et al. https://doi.org/10.1016/j.isprsjprs.2018.04.022
3. Hierarchical Fine Extraction Method of Street Tree Information from Mobile LiDAR Point Cloud Data Y. Wang et al. https://doi.org/10.3390/app13010276
4. Longitudinal-Scanline-Based Arterial Traffic Video Analytics with Coordinate Transformation Assisted by 3D Infrastructure Data T. Zhang et al. https://doi.org/10.1177/0361198120971257
5. Improved Sampling for Terrestrial and Mobile Laser Scanner Point Cloud Data E. Puttonen et al. https://doi.org/10.3390/rs5041754
6. Automatic Indoor Building 3D Wireframe Modeling from Point Clouds Spatial Geometry Information for As-Built BIM X. Liang et al. https://doi.org/10.1061/JCCEE5.CPENG-7179
7. Real-time ground filtering algorithm of cloud points acquired using Terrestrial Laser Scanner (TLS) N. Diaz et al. https://doi.org/10.1016/j.jag.2021.102629
8. Urban environment 3D studies by automated feature extraction from LiDAR point clouds https://doi.org/10.26565/2410-7360-2020-52-12
9. The Price of Elevation: Market and Institutional Responses to Elevation-Based Flood-Risk Reduction Y. Kim https://doi.org/10.1016/j.jhe.2026.102160
10. Automatic Detection of Cylindrical Objects in Built Facilities M. Ahmed et al. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000329
11. Object Recognition, Segmentation, and Classification of Mobile Laser Scanning Point Clouds: A State of the Art Review E. Che et al. https://doi.org/10.3390/s19040810