论文标题
大型仓库中可穿戴摄像头的绝对本地化
Wearable camera-based human absolute localization in large warehouses
论文作者
论文摘要
在机器人的仓库中,就像在机器人自主移动的任何地方一样,一个主要问题是人类操作员在干预机器人工作区域期间的定位或检测。本文介绍了用于大型仓库的可穿戴人类定位系统,该系统利用用于定位自动导向车辆(AGV)的预装基础设施。一个单眼的俯视相机正在检测地面节点,识别它们并计算人类的绝对位置,以使人类和AGV在同一工作空间中的安全合作和共存。建立了人类操作员周围的虚拟安全区域,并立即停止该区域的任何AGV。为了避免由于机器人和人类操作员之间的短距离触发紧急停止,必须对机器人的轨迹进行修改,以免它们干扰人类。本文的目的是展示一种绝对的视觉定位方法,可在自动化仓库的挑战性环境中起作用,其强度较低,环境较大,并使用仅放置在人体上的单眼相机。
In a robotised warehouse, as in any place where robots move autonomously, a major issue is the localization or detection of human operators during their intervention in the work area of the robots. This paper introduces a wearable human localization system for large warehouses, which utilize preinstalled infrastructure used for localization of automated guided vehicles (AGVs). A monocular down-looking camera is detecting ground nodes, identifying them and computing the absolute position of the human to allow safe cooperation and coexistence of humans and AGVs in the same workspace. A virtual safety area around the human operator is set up and any AGV in this area is immediately stopped. In order to avoid triggering an emergency stop because of the short distance between robots and human operators, the trajectories of the robots have to be modified so that they do not interfere with the human. The purpose of this paper is to demonstrate an absolute visual localization method working in the challenging environment of an automated warehouse with low intensity of light, massively changing environment and using solely monocular camera placed on the human body.