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  4. Mobile Robot Campus Dataset (MRCD)
 
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Mobile Robot Campus Dataset (MRCD)

Citation Link: https://doi.org/10.15480/882.15125
Type
Dataset
Recorded Data
Date Issued
2025-07-28
Author(s)
Ziegenbein, Justin 
Technische Logistik W-6  
Blunder, Noel Moritz 
Technische Logistik W-6  
Maroofi, Sean 
Technische Logistik W-6  
Thiel, Marko  orcid-logo
Technische Logistik W-6  
Nguyen, Thien-Minh  
Nanyang Technological University  
Rose, Hendrik Wilhelm 
Technische Logistik W-6  
Braun, Philipp Maximilian  orcid-logo
Technische Logistik W-6  
Jahn, Carlos  orcid-logo
Technische Logistik W-6  
Data Collector
Ziegenbein, Justin
Technische Logistik W-6  
Blunder, Noel Moritz
Technische Logistik W-6  
Maroofi, Sean
Technische Logistik W-6  
Contact
Ziegenbein, Justin
Technische Logistik W-6  
Blunder, Noel Moritz
Technische Logistik W-6  
Maroofi, Sean
Technische Logistik W-6  
Language
English
DOI
https://doi.org/10.15480/882.15125
TORE-URI
https://hdl.handle.net/11420/55496
References
10.15480/336.5041
Abstract
The Mobile Robot Campus Dataset (MRCD) was recorded on the TU Hamburg campus using "Laura," a mobile robot platform equipped with high-end sensors including LiDAR, stereo cameras, IMU, and RTK-GNSS. The dataset captures over 1 hour of real-world driving across 2.9 km of diverse pedestrian environments featuring vegetation, cobblestones, elevation changes, and urban structures. With precise calibration, anonymized visual data, and high-frequency sensor streams, MRCD is ideal for benchmarking SLAM, navigation, and perception algorithms. Ground truth is provided through continuous-time LiDAR registration against a high-resolution 3D map of the environment.
Subjects
ROS2
Robotics
Outdoor
SLAM
LISLAM
VISLAM
Continuous Time Ground Truth
Funding(s)
Smarte Leitstelle für automatisierte Transportroboter und Busse in der Stadt Lauenburg/Elbe - TaBuLa-LOGplus  
Funding Organisations
Federal Ministry of Transport and Digital Infrastructure
License
https://creativecommons.org/licenses/by/4.0/
Technical information
The dataset was collected in late 2024 using the transport robot "Laura" used in the project TaBuLa-LOGplus. Further information will be provided in the corresponding paper.
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