-------------------------------------------------------------------------------- Title: 3D Point Cloud of the Main Campus of Hamburg University of Technology (5 cm subsampled) -------------------------------------------------------------------------------- README file date: 2023-05-16 -------------------------------------------------------------------------------- AUTHOR INFORMATION ------------------ Name: Marko Thiel ORCID: 000-0002-7249-1203 Institution: Hamburg University of Technology Institute for Technical Logistics City, country: Hamburg, Germany Email: marko.thiel@tuhh.de Name: Justin Ziegenbein ORCID: 0000-0003-0969-5737 Institution: Hamburg University of Technology Institute for Technical Logistics City, country: Hamburg, Germany Email: justin.ziegenbein@tuhh.de Name: Noel Blunder ORCID: 0000-0001-6979-3991 Institution: Hamburg University of Technology Institute for Technical Logistics City, country: Hamburg, Germany Email: noel.blunder@tuhh.de Name: Johannes Hinckeldeyn ORCID: 0000-0001-9823-7679 Institution: Hamburg University of Technology Institute for Technical Logistics City, country: Hamburg, Germany Name: Jochen Kreutzfeldt ORCID: 0000-0003-3648-576X Institution: Hamburg University of Technology Institute for Technical Logistics City, country: Hamburg, Germany -------------------------------------------------------------------------------- SHARING INFORMATION ------------------- DOI: https://doi.org/10.15480/336.5041 Handle: http://hdl.handle.net/11420/15117 URN: urn:nbn:de:gbv:830-882.0216221 License: Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/ Recommended citation: @misc{thiel2023campus, author = {Thiel, Marko and Ziegenbein, Justin and Blunder, Noel and Hinckeldeyn, Johannes and Kreutzfeldt, Jochen}, title = {3D Point Cloud of the Main Campus of Hamburg University of Technology (5 cm subsampled)}, number = {Version 1.0}, year = {2023}, publisher = {TUHH Library}, doi = {10.15480/336.5041} } -------------------------------------------------------------------------------- DATASET AND FILE OVERVIEW ------------------------- Version: 1.0 Version changes: 2023-05-16 - Initial upload. Location of data collection: Campus of Hamburg University of Technology (Am Schwarzenberg-Campus 1, 21073 Hamburg, Germany) Area captured: 559 m x 247 m Time of data collection: August 2022 - December 2022 Files: Campus_TUHH_subsampled_5cm.e57 Filesize: 1.23 GB Description: Point cloud file (e57) with intensity and color information for 125 individual scans. -------------------------------------------------------------------------------- METHODOLOGICAL INFORMATION -------------------------- Devices used for data acquisition: FARO Focus S 70 and FARO Focus Premium 150 Devices used for post processing: Workstation with Intel Core i9-9820X processor, 128 GB RAM and GeForce RTX 2080 Ti Turbo 12 GB Point cloud registration: The registration was performed using the manufacturer's software FARO Scene. Initially, three large clusters were individually registered using artificial sphere targets. The combination of these three clusters to form the final point cloud was done in FARO Scene using cloud-to-cloud registration. Downsampling: Downsampling of the registered point cloud to 5 cm resolution using CloudCompare open source software. -------------------------------------------------------------------------------- FUNDING ------- Funding source: German Federal Ministry for Digital and Transport Research project: "Smart Control Center for Automated Transport Robots and Buses in the City of Lauenburg/Elbe - TaBuLa-LOGplus"