1. 南京航空航天大学机械结构力学与控制国家重点实验室
2. 江苏法尔胜光通有限公司
纸质出版:2019
移动端阅览
徐庆, 徐志伟, 杜晓峰. 基于QR码的视觉导航AGV系统[J]. 传感器与微系统, 2019,(2):83-86+90.
XU Qing, XU Zhi-wei, DU Xiao-feng. Vision navigation AGV system based on QR code[J]. 2019, (2): 83-86+90.
徐庆, 徐志伟, 杜晓峰. 基于QR码的视觉导航AGV系统[J]. 传感器与微系统, 2019,(2):83-86+90. DOI: 10.13873/j.1000-9787(2019)02-0083-04.
XU Qing, XU Zhi-wei, DU Xiao-feng. Vision navigation AGV system based on QR code[J]. 2019, (2): 83-86+90. DOI: 10.13873/j.1000-9787(2019)02-0083-04.
鉴于视觉导航系统具有高精度的优点
设计了基于快速响应代码(QR Code)二维码的视觉导航自动导引车(AGV)系统。完成了AGV系统的结构设计、视觉导航原理及控制策略
确定了AGV系统的各项关键参数。实验研究表明:在导航运行过程中
AGV的站点位置修正后可控制在±12 mm以内
AGV的航向角修正后误差可控制在±1°以内
且AGV能够沿着已有的轨迹地图稳定可靠运行。
In view of high precision of visual navigation system
a visual navigation automated guided vehicle(AGV)system based on quick response(QR)code is proposed. Structural design
visual navigation and the control strategy of AGV system are completed
and the key parameters of AGV system are confirmed. The experimental research shows that in the process of the navigation
the site location error and the course angle error of AGV can be controlled within ± 12 mm and ± 1°respectively after revision. Besides
AGV can run stably and reliably along an existing trajectory map navigation.
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