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| The 3D laser scanning is a convenient and accessible technology to document the existing infrastructure including buildings. The output is set of data points in space, so called point clouds. While point clouds can be directly rendered and inspected, they need to be converted into BIM representation for efficient digital processing. The PointCloud2BIM aims to automate this transformation to a large extend by providing a set of tools and algorithms for this purpose. | The 3D laser scanning is a convenient and accessible technology to document the existing infrastructure including buildings. The output is set of data points in space, so called point clouds. While point clouds can be directly rendered and inspected, they need to be converted into BIM representation for efficient digital processing. The PointCloud2BIM aims to automate this transformation to a large extend by providing a set of tools and algorithms for this purpose. | ||
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| + | {{ :images:pointcloud2bim_idea.png?nolink&800 |}} | ||
| The PointCloud2BIM library is written in C++. It can be integrated into any BIM software to assist the conversion of point clouds into digital BIM representation. The library API is documented in the [[start#Documentation|Reference Manual]]. The library can also be used as a standalone tool without any dependency on BIM software by offering a set of command line tools that can perform the individual steps introduced above. The individual tools operate on top of common database, which stores the original point cloud data as well as the results. | The PointCloud2BIM library is written in C++. It can be integrated into any BIM software to assist the conversion of point clouds into digital BIM representation. The library API is documented in the [[start#Documentation|Reference Manual]]. The library can also be used as a standalone tool without any dependency on BIM software by offering a set of command line tools that can perform the individual steps introduced above. The individual tools operate on top of common database, which stores the original point cloud data as well as the results. | ||
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| ===== Documentation ===== | ===== Documentation ===== | ||
| - | * User manual | + | * User manual {{ :docs:pointcloud2bim_user_manual_v1_4_.pdf | pdf}} |
| * Reference manual in [[http://mech2018.fsv.cvut.cz/pc2bim/www/refman/html/index.html|html]] or [[http://mech2018.fsv.cvut.cz/pc2bim/www/refman/refman.pdf|pdf]] | * Reference manual in [[http://mech2018.fsv.cvut.cz/pc2bim/www/refman/html/index.html|html]] or [[http://mech2018.fsv.cvut.cz/pc2bim/www/refman/refman.pdf|pdf]] | ||
| ===== Obtaining PointCloud2BIM ===== | ===== Obtaining PointCloud2BIM ===== | ||
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| ===== Authors ===== | ===== Authors ===== | ||
| + | {{ :images:civil_engeneering_logo.jpg?nolink&200|}} | ||
| Edita Dvořáková, Bořek Patzák, Daniel Rypl and Jan Voříšek | Edita Dvořáková, Bořek Patzák, Daniel Rypl and Jan Voříšek | ||
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| Contact: borek.patzak(at)fsv.cvut.cz | Contact: borek.patzak(at)fsv.cvut.cz | ||
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| + | ===== Acknowledgements ===== | ||
| + | |||
| + | The development of this software was supported by the Technology Agency of the Czech Republic, | ||
| + | under program of the National Competence Center 1 as project “Center for Advanced Materials and | ||
| + | Efficient Buildings (CAMEB), project registration number: TN01000056. | ||
| + | |||
| ===== Examples ===== | ===== Examples ===== | ||
| + | |||
| + | ==== Simple office building, one floor ==== | ||
| + | | {{:images:example1:1.jpg?direct&200}} | {{:images:example1:10.jpg?direct&200}} | {{:images:example1:30.jpg?direct&200}} | {{:images:example1:50.jpg?direct&200}} | | ||
| + | | Original point cloud (85M points) | Room detection | Wall detection | Opening detection | | ||
| + | |||
| + | ==== Administrative single floor building with equipment ==== | ||
| + | |||
| + | | {{:images:example2:1.jpg?direct&200}} | {{:images:example2:10.jpg?direct&200}} | {{:images:example2:30.jpg?direct&200}} | {{:images:example2:50.jpg?direct&200}} | | ||
| + | | Original point cloud (63M points) | Room detection | Wall detection | Opening detection | | ||
| + | ====Single floor of a furnished office building – more complex floor==== | ||
| + | | {{:images:example3:5.jpg?direct&200}} | {{:images:example3:10.jpg?direct&200}} | {{:images:example3:30.jpg?direct&200}} | {{:images:example3:50.jpg?direct&200}} | | ||
| + | | Original point cloud (108M points) | Room detection | Wall detection | Opening detection | | ||
start.1593373011.txt.gz · Last modified: 2020/06/28 21:36 by bp
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