3D LoD3 Modeling of High Building Using Terrestrial Laser Scanning and Unmanned Aerial Vehicle: A Case Study in Halong City, Vietnam

Abstract

3D urban building models play an important role in the association, convergence and integration of economic and social urban
data. 3D building reconstruction can be done from both the lidar and image-based point clouds, however, the lidar point clouds has
dominated the research giving the 3D buildings reconstruction from aerial images point clouds less attention. The UAV images can
be acquired at low cost, the workflow can be automated with minimal technical knowhow limitation. This promotes the necessity to
understand and question to what extent the 3D buildings from UAV point clouds are complete and correct from data processing to
parameter settings. This study focuses on proposing a process for building 3D geospatial data for a smart city using geospatial data
collected by UAV and Terrestrial Laser Scanner. The experimental results have produced 3D geospatial data of high building in LoD3,
with the root mean square error of the received test points mΔx=3.8 cm, mΔy=3.1 cm, and mΔH=7.5 cm.