Indoor Laser Scanning Dataset


  • Indoor laser scanning dataset provides fours indoor point clouds data based on SLAM-mapping process. The scenes include large scale indoor parking lots, corridor and multiple rooms.


  • This dataset also includes line framework extraction results of the scenes and provides a brief description of the indoor scene.


Data Description


Name Number of Points Scene Visualization Line framework
Scene 17.90 millionIndoor parking area
Scene 23.85 millionIndoor parking area
Scene 32.10 millionCorridor
Scene 48.62 millionMultiple rooms

Download



Scene 1. 7z ( 0.255 GB ) line_Scene 1. 7z( 56 KB )

Scene 2. 7z ( 0.353 GB ) line_Scene 2. 7z( 31 KB )

Scene 3. 7z ( 0.066 GB ) line_Scene 3. 7z( 20 KB )

Scene 4. 7z ( 0.304 GB ) line_Scene 4. 7z( 17 KB )

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unknown
3282
United States
875
Canada
657
France
396
China
381
"United States
204
Germany
185
"Germany
133
"Netherlands
86
Netherlands
78
"China
70
"Singapore
68
nul
56
"Canada
53
Singapore
50
Israel
48
Cyprus
37
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27
"Finland
25
Japan
24
"Cyprus
24
"France
22
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16
Hong Kong SAR China
12
Turkey
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"India
8
Finland
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Italy
5
"South Korea
4
Austria
4
"Hong Kong SAR China
4
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4
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ul
3
United Kingdom
2
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2
Colombia
2
Indonesia
2
South Africa
1
Thailand
1
Taiwan
1
"Taiwan
1
Luxembourg
1

Copyright


The Indoor laser scanning dataset is published under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License (https://creativecommons.org/licenses/by-nc-sa/3.0/). You must attribute the work in the manner specified by the authors, you may not use this work for commercial purposes and if you alter, transform, or build upon this work, you may distribute the resulting work only under the same license. Contact us if you are interested in commercial usage.


Citation


If you use this dataset please cite the following paper:

  • C. Wang, S. Hou, C. Wen, Z. Gong, Q. Li, X. Sun, J. Li, Semantic Line Framework-based Indoor Building Modeling using Backpacked Laser Scanning Point Cloud, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 143, pp. 150-166, 2018.