A System for Continuous Underground Site Mapping and Exploration

A. Ferrein, Ingrid Scholl, T. Neumann, Kai Kruckel, S. Schiffer
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引用次数: 4

Abstract

3D mapping becomes ever more important not only in industrial mobile robotic applications for AGV and production vehicles but also for search and rescue scenarios. In this chapter we report on our work of mapping and exploring underground mines. Our contribution is two-fold: First, we present our custom-built 3D laser range platform SWAP and compare it against an architectural laser scanner. The advantages are that the mapping vehicle can scan in a continuous mode and does not have to do stop-and-go scanning. The second contribution is the mapping tool mapit which supports and automates the registration of large sets of point clouds. The idea behind mapit is to keep the raw point cloud data as a basis for any map generation and only store all operations executed on the point clouds. This way the initial data do not get lost, and improvements on low-level date (e.g. improved transforms through loop closure) will automatically improve the final maps. Finally, we also present methods for visualization and interactive exploration of such maps.
地下场地连续测绘与勘探系统
3D绘图不仅在AGV和生产车辆的工业移动机器人应用中变得越来越重要,而且在搜索和救援场景中也变得越来越重要。在本章中,我们报告了我们在地下矿山测绘和勘探方面的工作。我们的贡献是双重的:首先,我们展示了我们定制的3D激光测距平台SWAP,并将其与建筑激光扫描仪进行比较。其优点是测绘车可以连续扫描,不需要进行走走停停的扫描。第二个贡献是映射工具mapit,它支持并自动化大型点云集的配准。mapit背后的思想是保留原始的点云数据作为任何地图生成的基础,并且只存储在点云上执行的所有操作。这样初始数据不会丢失,并且对低级数据的改进(例如通过循环闭包改进的转换)将自动改进最终的地图。最后,我们还提出了可视化和交互式探索这些地图的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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