利用三维飞行时间工业传感器检测托盘卸载的包裹箱

Riccardo Monica, J. Aleotti, Dario Lodi Rizzini
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引用次数: 8

摘要

这项工作提出了一个3D视觉系统,用于自动检测已知尺寸的纸板箱,位于已知高度的托盘的顶层。采用工业飞行时间(ToF)传感器,由于使用红外光源,可以在不同的照明条件下工作。感知系统旨在应用于工业仓储的线端操作,如机器人去码垛。所提出的方法不假设包裹的任何预先定义的布局,因此,它甚至可以与不完整的层对齐的纸箱工作。提出的解决方案首先提取所有可能的目标假设,然后基于遗传算法求解优化问题以排除冲突。实验已经在一个真实的数据集上进行,包括紧密包裹的复杂配置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of Parcel Boxes for Pallet Unloading Using a 3D Time-of-Flight Industrial Sensor
This work presents a 3D vision system for automatic detection of cardboard parcel boxes of known size, located on the top layer of a pallet of known height. An industrial Time-of-Flight (ToF) sensor is adopted that can operate in different illumination conditions thanks to the use of an infrared light source. The perception system is intended for application in industrial warehousing for end-of-line operations, like robot depalletizing. The proposed method does not assume any predefined layout of parcels and, therefore, it can work even with an incomplete layer of misaligned cardboard boxes. The developed solution first extracts all possible object hypotheses, then an optimization problem is solved, based on a genetic algorithm, to exclude conflicts. Experiments have been performed on a real dataset including complex configurations of tightly packed parcels.
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