Point clouds of Tram bridge in Schipluiden, The Netherlands

doi: 10.4121/13626368.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/13626368
Datacite citation style:
Linh Truong; Annie Papalexiou; Ullas Rajvanshi; Anastasia Dagla; Timo Bisschop et. al. (2021): Point clouds of Tram bridge in Schipluiden, The Netherlands. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/13626368.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Delft University of Technology logo
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geolocation
Schipluiden, Zuid-Holland, The Netherlands
lat (N): 51.971696
lon (E): 4.310879
view on openstreetmap
licence
cc-by-nc.png logo CC BY-NC 4.0

Point clouds of Tram bridge on Schipluiden, Zuid-Holland was acquired for the project “Laser Scanning for Automatic Bridge Assessment” or called “BridgeScan” funded through H2020 Marie Curie IF and for a big assignment of a course “3D Surveying of Civil and Offshore Infrastructure” of a Master program at TU Delft Dept. Geoscience and Remote sensing”. The Tram bridge is a truss steel bridge, which was for a tram to transport vegetables. Now it is used for light traffic (mainly pedestrian, bike and motorbike). The data points of the bridge were acquired using Leica ScanStation P40, from 14 stations with the sampling step 6.3mm at the measure range of 10.0m. The point clouds from different scanning stations were registered using the artificial targets through Leica Cylone software. The point cloud of the bridge was used to reconstruct a 3D model and identify surface damage. The data set was cleaned irrelevant points and down-sampled with the sampling step of 5mm.

history
  • 2021-01-28 first online, published, posted
publisher
4TU.ResearchData
format
E57
funding
  • Laser Scanning for Automatic Bridge Assessment (grant code 799149) [more info...] European Commission
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Remote sensing

DATA

files (2)