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A Robotic Indoor 3D Mapping System Using a 2D Laser Range Finder Mounted on a Rotating Four-Bar Linkage of a Mobile Platform

机译:一种机器人室内3D映射系统,使用2D激光测距仪安装在移动平台的旋转四杆连杆上

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摘要

This paper describes our work in developing a 3D robotic mapping system composed by an experimental mobile platform equipped with a rotating laser range finder (LRF). For the purpose of obtaining more complete 3D scans of the environment, we design, construct and calibrate a crank-rocker four-bar linkage so that a LRF mounted on it could undergo repetitive rotational motion between two extreme positions, allowing both horizontal and vertical scans. To reduce the complexity of map representation suitable for optimization later, the local map from the LRF is a grid map represented by a distance-transformed (DT) matrix. We compare the DT-transformed maps and find the transformation matrix of a robot pose by a linear simplex-based map optimization method restricted to a local region allows efficient alignment of maps in scan matching. Several indoor 2D and 3D mapping experiments are presented to demonstrate the consistency, efficiency and accuracy of the 3D mapping system for a mobile robot that is stationary or in motion.
机译:本文介绍了我们在开发由配备有旋转激光测距仪(LRF)的实验移动平台组成的3D机器人映射系统方面的工作。为了获得更完整的环境3D扫描,我们设计,构造和校准曲柄摇杆四杆连杆,使得安装在其上的LRF可以在两个极端位置之间进行重复的旋转运动,允许水平和垂直扫描。为了减少适合于优化的地图表示的复杂性,来自LRF的局部地图是由距离变换(DT)矩阵表示的网格图。我们比较DT转换的地图,并通过限制在局部区域的基于线性单纯形的地图优化方法找到机器人姿势的转换矩阵允许在扫描匹配中有效地对齐地图。提出了几个室内2D和3D映射实验,以展示用于静止或运动的移动机器人的3D映射系统的一致性,效率和准确性。

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