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基于视觉和RFID复合导航的AGV设计与研究
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浙江省基础公益研究计划(LGG19E050003)


Design and Research of AGV Based on Vision and RFID Integrated Navigation
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    摘要:

    针对目前自动引导小车(AGV)导航精度低、轨迹柔性差等问题,提出一种基于视觉和RFID的AGV复合导航方法。利用RFID读取AGV所处站点的射频卡信息,采用视觉技术检测地标相对于AGV的位置并纠偏,实现AGV导航定位;在视觉定位中引入卡尔曼滤波,提高AGV的导航精度和稳定性;在地图构建中,采用地标图案中嵌入射频卡的方式建立网格型地图,保证轨迹的柔性。结果表明:所提出的复合导航方法具有较高的定位精度,平均轨迹误差为5.85 mm,平均角度误差为0.65°,可以满足实际应用需求。

    Abstract:

    Aiming at the problems of low navigation precision and poor trajectory flexibility of the present automated guided vehicle (AGV),a compound navigation method for AGV was proposed based on vision and RFID.RFID was used to read the information of radio frequency card of the AGV site,the visual technology was used to detect the position of landmarks relative to the AGV and the deviation was corrected,so the AGV navigation and positioning were realized;Kalman filter was introduced into visual positioning to improve navigation accuracy and stability of AGV;in the map construction,the landmark pattern was embedded in the radio frequency card to build the grid map,so the flexibility of the trajectory could be ensured.The results show that by using the proposed compound navigation method,a high positioning accuracy can be achieved,the average trajectory error is 5.85 mm and the average angle error is 0.65°,which can meet the practical application requirements.

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王辉,袁斌,王伟博,吴瑞明.基于视觉和RFID复合导航的AGV设计与研究[J].机床与液压,2022,50(7):87-91.
WANG Hui, YUAN Bin, WANG Weibo, WU Ruiming. Design and Research of AGV Based on Vision and RFID Integrated Navigation[J]. Machine Tool & Hydraulics,2022,50(7):87-91

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  • 在线发布日期: 2023-02-22
  • 出版日期: 2022-04-15