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- Titel:
CMS Sensor Mounting System
- Dokumenttyp:
- Forschungsdaten
- Veröffentlichungsdatum:
- 07.08.2024
- Verantwortlich:
- Vega-Torres, Miguel A.
- Autorinnen / Autoren:
- Vega-Torres, Miguel A.; Borrmann, André
- Institutionszugehörigkeit:
- TUM
- Herausgeber:
- TUM
- Identifikator:
- doi:10.14459/2024mp1750434
- Enddatum der Datenerzeugung:
- 01.07.2024
- Fachgebiet:
- BAU Bauingenieurwesen, Vermessungswesen; DAT Datenverarbeitung, Informatik; TEC Technik, Ingenieurwissenschaften (allgemein)
- zusätzliche Fachgebiete:
- Robotics, Mapping
- Quellen der Daten:
- Abbildungen von Objekten / image of objects
- Andere Quellen der Daten:
- 3D Models/Mehes
- Datentyp:
- mehrdimensionale Visualisierungen oder Modelle / models
- Anderer Datentyp:
- -3D inventor parts in .ipt format and assemblies in .iam format.
- Methode der Datenerhebung:
- The dataset was generated using Autodesk Inventor version 2024.
- Beschreibung:
- The data provided here includes the mounting system, which enable the mounting of multiple sensors on a robot. Although it was specifically developed for the Go1-legged robot, it can be utilized on any robot with a flat surface or as a handheld system by detaching the sensors from the components that hold the PC and batteries.
The mounting system is designed to accommodate an Ouster 3D LiDAR and four D435i RealSense cameras. Additionally, it supports a NUC mini PC and two batteries. For detailed information about the connections and usage of the system, please refer to this paper
Also, you can see the model in 3D: here - Links:
- Additional information: https://doi.org/10.13154/294-10094
- Schlagworte:
- 3D Mesh; Inventor; Mounting; LiDAR; Camera; Mapping; SLAM
- Technische Hinweise:
- View and download (73 MB total, 51 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1750434):
rsync rsync://m1750434@dataserv.ub.tum.de/m1750434/ - Sprache:
- en
- Rechte:
- by-nc, http://creativecommons.org/licenses/by-nc/4.0
- Horizon 2020:
- INTREPID Horizon 2020 Grant agreement ID: 883345
BibTeX