基于线结构光的工业叉车自动托盘定位与拣货

Shijun Wang, Aixue Ye, Hao Guo, Jiaojiao Gu, Xiaonan Wang, Kui Yuan
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引用次数: 4

摘要

提出了一种基于线结构光传感器的工业叉车托盘自动搬运方法。该方法主要包括两个方面。首先,设计了基于嵌入式图像处理板的线结构光传感器,其中包含一个FPGA和一个DSP。解决了基于Hessian矩阵分解的光条纹中心提取不能实时运行的问题。其次,将结构光传感器安装在自动叉车上,叉车利用托盘的几何特征对托盘进行检测和定位,然后控制器利用基于位置的视觉伺服驱动叉车在托盘前停靠并拾取托盘。线结构光传感器采用本课室研制的C6000系列视觉处理板进行设计。工业叉车托盘自动定位与拣货实验验证了该方法的实用性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Autonomous pallet localization and picking for industrial forklifts based on the line structured light
This paper proposed an autonomous pallet handing method for industrial forklifts based on the line structured light sensor. The method mainly include two aspects. First, the design of the line structured light sensor based on embedded image processing board that contains a FPGA and a DSP. We solved the problem that Hessian matrix decomposition based light stripe center extraction cannot run in real time. Second, we installed the structured light sensor onto the automatic forklift, and the forklift detected and located the pallet using the geometry character of the pallets, then the controller drived the forklift docking in front of the pallet using position-based visual servoing and picking up the pallet at last. The line structured light sensor was designed using C6000 series visual processing boards developed by our research group. The experiment of the autonomous pallet localization and picking for industrial forklifts verifies the practicability and effectiveness of our proposed method.
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