3 papers
cs.RO2024
Benchmarking SLAM Algorithms in the Cloud: The SLAM Hive Benchmarking Suite
Xinzhe Liu, Yuanyuan Yang, Bowen Xu +2
Evaluating the performance of Simultaneous Localization and Mapping (SLAM) algorithms is essential for scientists and users of robotic systems alike. But there are a multitude of d…
cs.RO2024
ShanghaiTech Mapping Robot is All You Need: Robot System for Collecting Universal Ground Vehicle Datasets
Bowen Xu, Xiting Zhao, Delin Feng +2
This paper presents the ShanghaiTech Mapping Robot, a state-of-the-art unmanned ground vehicle (UGV) designed for collecting comprehensive multi-sensor datasets to support research…
cs.RO2024
High-Quality, ROS Compatible Video Encoding and Decoding for High-Definition Datasets
Jian Li, Bowen Xu, Sören Schwertfeger
Robotic datasets are important for scientific benchmarking and developing algorithms, for example for Simultaneous Localization and Mapping (SLAM). Modern robotic datasets feature…