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Open AccessArticle

Roads Detection and Parametrization in Integrated BIM-GIS Using LiDAR

Department of Architecture, Built environment and Construction engineering (ABC), Politecnico di Milano, Via Ponzio 31, 20133 Milan, Italy
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Infrastructures 2020, 5(7), 55; https://doi.org/10.3390/infrastructures5070055
Received: 26 May 2020 / Revised: 19 June 2020 / Accepted: 24 June 2020 / Published: 1 July 2020
(This article belongs to the Section Smart Infrastructures)
Building Information Modeling (BIM) has 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, 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. View Full-Text
Keywords: building information modelling; GIS; infrastructure; LiDAR; point cloud; smart roads building information modelling; GIS; infrastructure; LiDAR; point cloud; smart roads
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Barazzetti, L.; Previtali, M.; Scaioni, M. Roads Detection and Parametrization in Integrated BIM-GIS Using LiDAR. Infrastructures 2020, 5, 55.

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