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)
Language
English
TORE-DOI
Used equipment
Transport Robot Laura from the Project TaBuLa-LOGplus
Faro Focus S70
Faro Focus Premium
Velodyne VLP-16
Stereolabs ZED2
Intel Realsense D435
Emlid Reach
References
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
DDC Class
629.8: Control and Feedback Control Systems
Funding Organisations
Federal Ministry of Transport and Digital Infrastructure
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.