Roads Detection and Parametrization in Integrated BIM-GIS Using LiDAR

Roads Detection and Parametrization in Integrated BIM-GIS Using LiDAR

Blog Article

Building Information Modeling (BIM) has DGL a crucial role in smart road applications, not only limited to the design and construction stages, but also to traffic monitoring, autonomous vehicle navigation, road condition assessment, and real-time data delivery to drivers, among others.Point clouds collected through LiDAR are a powerful solution to capture as-built conditions, notwithstanding the lack of commercial tools able to automatically reconstruct road geometry in a BIM environment.This paper illustrates a two-step procedure in which roads are automatically detected and classified, providing GIS layers with basic road geometry that are turned into parametric BIM objects.The proposed system is an integrated BIM-GIS with a structure based on multiple proposals, Your Heart in which a single project file can handle different versions of the model using a variable level of detail.The model is also refined by adding parametric elements for buildings and vegetation.

Input data for the integrated BIM-GIS can also be existing cartographic layers or outputs generated with algorithms able to handle LiDAR data.This makes the generation of the BIM-GIS more flexible and not limited to the use of specific algorithms for point cloud processing.