Advanced Mapping Robot and High-Resolution Dataset
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Abstract (arXiv)
This paper presents a fully hardware synchronized mapping robot with support for a hardware synchronized external tracking system, for super-precise timing and localization. Nine high-resolution cameras and two 32-beam 3D Lidars were used along with a professional, static 3D scanner for ground truth map collection. With all the sensors calibrated on the mapping robot, three datasets are collected to evaluate the performance of mapping algorithms within a room and between rooms. Based on these datasets we generate maps and trajectory data, which is then fed into evaluation algorithms. We provide the datasets for download and the mapping and evaluation procedures are made in a very easily reproducible manner for maximum comparability. We have also conducted a survey on available robotics-related datasets and compiled a big table with those datasets and a number of properties of them.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 23 Jul 2020.
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Citing papers per year: 2022: 2; 2023: 0; 2024: 1.
3 papers.
- 2022SST-Calib: Simultaneous Spatial-Temporal Parameter Calibration between LIDAR and Cameracited by 6
- 2022Accurate calibration of multi-perspective cameras from a generalization of the hand-eye constraintcited by 3
- 2024High-Quality, ROS Compatible Video Encoding and Decoding for High-Definition Datasetscited by 0
- 2024High-Quality, ROS Compatible Video Encoding and Decoding for High-Definition Datasets1 Aug 2024
- 2022SST-Calib: Simultaneous Spatial-Temporal Parameter Calibration between LIDAR and Camera8 Jul 2022
- 2022Accurate calibration of multi-perspective cameras from a generalization of the hand-eye constraint2 Feb 2022