Collecting Large-Scale Robotic Datasets on a High-Speed Mobile Platform
Mobile robotics datasets are essential for research on robotics, for example for research on Simultaneous Localization and Mapping (SLAM). Therefore the ShanghaiTech Mapping Robot was constructed, that features a multitude high-performance sensors and a 16-node cluster to collect all this data. That robot is based on a Clearpath Husky A200 mobile base with a maximum speed of 1 meter per second. This is fine for indoor datasets, but to col-lect large-scale outdoor datasets a faster platform is needed. This system paper introduces our high-speed mobile platform for data collection. The mapping robot is secured on the rear-steered flatbed car with maximum field of view. Additionally, two encoders collect odometry data from two of the car wheels and an external sensor plate houses a downlooking RGB and event camera. With this setup a dataset of more than 10km in the underground parking garage and the outside of our campus was collected and is published with this paper.
Authors
- Sören Schwertfeger (ORCID: https://orcid.org/0000-0003-2879-1636)
- Dengji Zhao (ORCID: https://orcid.org/0000-0002-9572-1753)
- Bowen Xu (ORCID: https://orcid.org/0009-0004-4325-4876)
- Xiting Zhao (ORCID: https://orcid.org/0009-0003-1138-1726)
- Yuxin Lin
- Wenhan Cao
- Sizhe Gu
- Jipeng Kong
- Jiaxuan Ma
Institutions
- ShanghaiTech University (CN)
Publication Details
- Published
- 2024-12-10
- DOI
- https://doi.org/10.1109/robio64047.2024.10907441
- Primary Topic
- Robotics and Automated Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- ShanghaiTech University