Multi-layer mapping-based autonomous forklift localization in an industrial environment

Goran Vasiljević, Frano Petric, Z. Kovačić
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引用次数: 8

Abstract

In this paper a forklift (mobile robot) localization method in an industrial environment is presented. The presented method is based on an adaptive Monte Carlo localization using three laser range scanners, where two safety lasers are located at the ground level and one laser is located at the top level of the vehicle. Each level(layer) has its own independent map acquired by mapping algorithms prior to the localization. The proposed localization method is based on two independent localizations at each level (layer) and their fusion. Presented method is tested in the realistic industrial environment and compared to the marker-based localization that is accurate enough to be considered a ground truth.
基于多层映射的工业环境下自主叉车定位
提出了一种工业环境下的叉车(移动机器人)定位方法。该方法基于自适应蒙特卡罗定位,使用三个激光距离扫描仪,其中两个安全激光器位于地面,一个激光位于车辆顶部。每个关卡(层)都有自己独立的地图,在定位之前由映射算法获取。所提出的定位方法是基于每层两个独立的定位和它们的融合。该方法在现实的工业环境中进行了测试,并与基于标记的定位方法进行了比较,该方法的准确性足以被认为是一个基本事实。
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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