3D POINT CLOUD TO BIM: AUTOMATED APPLICATION TO DEFINE IFC ALIGNMENT AND ROADWAY WIDTH ENTITIES FROM MLS-ACQUIRED LiDAR DATA OF MOUNTAIN ROADS Article Swipe
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· 2022
· Open Access
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· DOI: https://doi.org/10.5194/isprs-annals-x-4-w2-2022-169-2022
The growing trend of developing standards of information exchange and management processes is leading to Building Information Models (BIM) being adapted to work with linear infrastructure assets. For this reason, the Industry Foundation Classes (IFC) has developed standards for linear infrastructure such as roads. Furthermore, the usage of remote sensing technologies, such as Mobile Laser Scanning (MLS) systems for infrastructure monitoring is increasingly common. This paper presents an automated methodology that takes as input 3D point cloud tiles from an MLS and its trajectory, and outputs an IFC-compliant file that models the alignment of the road and the width of the roadway along the length of the road. The methodology is evaluated in 48 km of mountain roads, in some cases without road markings, using neither intensity nor colour fields.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5194/isprs-annals-x-4-w2-2022-169-2022
- https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/X-4-W2-2022/169/2022/isprs-annals-X-4-W2-2022-169-2022.pdf
- OA Status
- diamond
- Cited By
- 4
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4306166006
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4306166006Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5194/isprs-annals-x-4-w2-2022-169-2022Digital Object Identifier
- Title
-
3D POINT CLOUD TO BIM: AUTOMATED APPLICATION TO DEFINE IFC ALIGNMENT AND ROADWAY WIDTH ENTITIES FROM MLS-ACQUIRED LiDAR DATA OF MOUNTAIN ROADSWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-10-14Full publication date if available
- Authors
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Daniel Lamas, A. Justo, Mario Soilán, B. RiveiroList of authors in order
- Landing page
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https://doi.org/10.5194/isprs-annals-x-4-w2-2022-169-2022Publisher landing page
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https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/X-4-W2-2022/169/2022/isprs-annals-X-4-W2-2022-169-2022.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
- OA URL
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https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/X-4-W2-2022/169/2022/isprs-annals-X-4-W2-2022-169-2022.pdfDirect OA link when available
- Concepts
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Point cloud, Lidar, Computer science, Building information modeling, Trajectory, Point (geometry), Mobile mapping, Work (physics), Cloud computing, Remote sensing, Construction engineering, Engineering, Geography, Computer vision, Mechanical engineering, Operations management, Physics, Scheduling (production processes), Mathematics, Astronomy, Geometry, Operating systemTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
- Citations by year (recent)
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2024: 4Per-year citation counts (last 5 years)
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21Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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