2020
DOI: 10.3390/rs12142301
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3D Point Cloud to BIM: Semi-Automated Framework to Define IFC Alignment Entities from MLS-Acquired LiDAR Data of Highway Roads

Abstract: Building information modeling (BIM) is a process that has shown great potential in the building industry, but it has not reached the same level of maturity for transportation infrastructure. There is a standardization need for information exchange and management processes in the infrastructure that integrates BIM and Geographic Information Systems (GIS). Currently, the Industry Foundation Classes standard has harmonized different infrastructures under the Industry Foundation Classes (IFC) 4.3 release. Furtherm… Show more

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Cited by 45 publications
(20 citation statements)
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“…Digital images are also used to establish 3D models using a photogrammetry algorithm [41,42]. Three-dimensional point cloud data are used to generate BIM models [43,44].…”
Section: State-of-the-art Techniques For 3d Model Construction Of Infrastructurementioning
confidence: 99%
“…Digital images are also used to establish 3D models using a photogrammetry algorithm [41,42]. Three-dimensional point cloud data are used to generate BIM models [43,44].…”
Section: State-of-the-art Techniques For 3d Model Construction Of Infrastructurementioning
confidence: 99%
“…The effect can be achieved by optimizing the scanning plan [19], [84], [85]. But provided the precision request of point cloud is not very high, we can use MLS [24], [33] to collect data.…”
Section: Limitations and Future Trendmentioning
confidence: 99%
“…The above three methods only capture the reality, and various processes are required to classify these objects into meaningful entities. There are various studies about classifying captured data into semantic-based data models, such as CityGML [45] and IFC [46]. However, the cadastral objects need to be manually defined within these 3D models according to the position of legal boundaries.…”
Section: D Cadastral Data Preparationmentioning
confidence: 99%