Ziegenbein, JustinJustinZiegenbeinBlunder, Noel MoritzNoel MoritzBlunderMaroofi, SeanSeanMaroofiThiel, MarkoMarkoThielNguyen, Thien-MinhThien-MinhNguyenRose, Hendrik WilhelmHendrik WilhelmRoseBraun, Philipp MaximilianPhilipp MaximilianBraunJahn, CarlosCarlosJahn2025-07-282025-07-282025-07-28https://hdl.handle.net/11420/55496The 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.enhttps://creativecommons.org/licenses/by/4.0/ROS2RoboticsOutdoorSLAMLISLAMVISLAMContinuous Time Ground TruthDatasethttps://doi.org/10.15480/882.1512510.15480/882.15125Ziegenbein, JustinJustinZiegenbeinBlunder, Noel MoritzNoel MoritzBlunderMaroofi, SeanSeanMaroofiZiegenbein, JustinJustinZiegenbeinBlunder, Noel MoritzNoel MoritzBlunderMaroofi, SeanSeanMaroofi10.15480/336.5041