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 )

Download per country

unknown
3831
United States
875
Canada
657
"United States
653
France
396
China
381
nul
356
"Germany
291
Germany
185
"Singapore
167
"Netherlands
94
"China
83
Netherlands
78
"France
71
"Canada
64
Singapore
50
"Finland
49
Israel
48
"Cyprus
47
Cyprus
37
South Korea
27
Japan
24
Russia
16
Hong Kong SAR China
12
Turkey
12
"United Kingdom
10
"Hong Kong SAR China
9
"India
8
Finland
7
Australia
7
India
6
"Taiwan
6
"New Zealand
6
Italy
5
"South Korea
4
Austria
4
"Japan
4
Spain
4
Iran
4
"Ireland
3
Belgium
3
ul
3
"Australia
3
United Kingdom
2
Switzerland
2
Colombia
2
Indonesia
2
South Africa
1
Thailand
1
Taiwan
1
Luxembourg
1
"Morocco
1
"Mexico
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.