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地下矿井传感器数据采集方法

Method for Underground Mining Shaft Sensor Data Collection.

作者信息

Adamek Artur, Będkowski Janusz, Kamiński Paweł, Pasek Rafał, Pełka Michał, Zawiślak Jan

机构信息

Faculty of Mining Surveying and Environmental Engineering, AGH University of Science and Technology, 30-059 Kraków, Poland.

Institute of Fundamental Technological Research, Polish Academy of Sciences, 02-106 Warsaw, Poland.

出版信息

Sensors (Basel). 2024 Jun 25;24(13):4119. doi: 10.3390/s24134119.

DOI:10.3390/s24134119
PMID:39000898
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11244304/
Abstract

The motivation behind this research is the lack of an underground mining shaft data set in the literature in the form of open access. For this reason, our data set can be used for many research purposes such as shaft inspection, 3D measurements, simultaneous localization and mapping, artificial intelligence, etc. The data collection method incorporates rotated Velodyne VLP-16, Velodyne Ultra Puck VLP-32c, Livox Tele-15, IMU Xsens MTi-30 and Faro Focus 3D. The ground truth data were acquired with a geodetic survey including 15 ground control points and 6 Faro Focus 3D terrestrial laser scanner stations of a total 273,784,932 of 3D measurement points. This data set provides an end-user case study of realistic applications in mobile mapping technology. The goal of this research was to fill the gap in the underground mining data set domain. The result is the first open-access data set for an underground mining shaft (shaft depth -300 m).

摘要

这项研究背后的动机是文献中缺乏以开放获取形式存在的地下矿井数据集。因此,我们的数据集可用于许多研究目的,如竖井检测、三维测量、同步定位与地图构建、人工智能等。数据收集方法包括旋转式Velodyne VLP - 16、Velodyne Ultra Puck VLP - 32c、Livox Tele - 15、IMU Xsens MTi - 30和Faro Focus 3D。地面真值数据是通过大地测量获得的,包括15个地面控制点和6个Faro Focus 3D地面激光扫描仪测站,总共273784932个三维测量点。该数据集提供了移动测绘技术实际应用的终端用户案例研究。本研究的目标是填补地下采矿数据集领域的空白。结果是得到了第一个用于地下矿井(竖井深度 - 300米)的开放获取数据集。

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本文引用的文献

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Affordable Robotic Mobile Mapping System Based on Lidar with Additional Rotating Planar Reflector.基于激光雷达和附加旋转平面反射器的经济型机器人移动测绘系统。
Sensors (Basel). 2023 Jan 31;23(3):1551. doi: 10.3390/s23031551.
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CERBERUS in the DARPA Subterranean Challenge.国防高级研究计划局地下挑战赛中的刻耳柏洛斯。
Sci Robot. 2022 May 25;7(66):eabp9742. doi: 10.1126/scirobotics.abp9742.
3
3D Global Localization in the Underground Mine Environment Using Mobile LiDAR Mapping and Point Cloud Registration.利用移动激光雷达测绘和点云配准在地下矿山环境中进行三维全局定位
Sensors (Basel). 2022 Apr 8;22(8):2873. doi: 10.3390/s22082873.