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Collecting Larg-Scale Robotic Datasets on a High-Speed Mobile Platform

Authors :
Lin, Yuxin
Ma, Jiaxuan
Gu, Sizhe
Kong, Jipeng
Xu, Bowen
Zhao, Xiting
Zhao, Dengji
Cao, Wenhan
Schwertfeger, Sören
Publication Year :
2024

Abstract

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 mobile base with a maximum speed of 1 meter per second. This is fine for indoor datasets, but to collect 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.

Subjects

Subjects :
Computer Science - Robotics

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2408.00545
Document Type :
Working Paper