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20192024
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7 papers · 1 filter

cs.RO2024

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

Yuxin Lin, Jiaxuan Ma, Sizhe Gu +6

Mobile robotics datasets are essential for research on robotics, for example for research on Simultaneous Localization and Mapping (SLAM). Therefore the ShanghaiTech Mapping Robot…

cs.RO2024

Detection and Utilization of Reflections in LiDAR Scans Through Plane Optimization and Plane SLAM

Yinjie Li, Xiting Zhao, Sören Schwertfeger

In LiDAR sensing, glass, mirrors and other material often cause inconsistent data readings, because the laser beams may report the distance of the glass, the distance of the object…

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

3DRef: 3D Dataset and Benchmark for Reflection Detection in RGB and Lidar Data

Xiting Zhao, Sören Schwertfeger

Reflective surfaces present a persistent challenge for reliable 3D mapping and perception in robotics and autonomous systems. However, existing reflection datasets and benchmarks r…

cs.RO2020

Advanced Mapping Robot and High-Resolution Dataset

Hongyu Chen, Zhijie Yang, Xiting Zhao +8

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 h…

cs.RO2019

Mapping with Reflection -- Detection and Utilization of Reflection in 3D Lidar Scans

Xiting Zhao, Zhijie Yang, Sören Schwertfeger

This paper presents a method to detect reflection of 3D light detection and ranging (Lidar) scans and uses it to classify the points and also map objects outside the line of sight.…