江汉大学学报(自然科学版) ›› 2023, Vol. 51 ›› Issue (3): 47-54.doi: 10.16389/j.cnki.cn42-1737/n.2023.03.005

• 传感器技术 • 上一篇    

多传感器数据融合室内定位方法

段金杰,江 督,詹志明*   

  1. 江汉大学 人工智能学院,湖北 武汉 430056
  • 发布日期:2023-06-09
  • 通讯作者: 詹志明

Indoor Positioning Method Based on Multi-sensor Data Fusion

DUAN Jinjie,JIANG Du,ZHAN Zhiming*a   

  1. School of Artificial Intelligence,Jianghan University,Wuhan 430056,Hubei,China
  • Published:2023-06-09
  • Contact: ZHAN Zhiming

摘要: 研究了基于超宽带技术(ultra wide band,UWB)定位和视觉定位的多传感器融合室内定 位方法,设计了 UWB 定位单元软硬件平台,调用修改了基于 MMTracking 的视觉定位方法,实现 了两种室内定位技术,构建了基于贝叶斯估计的双传感器数据融合模型。实验结果表明,该方法 具有较好的定位效果,提高了室内定位的测量精度和稳定性。

Abstract: This paper studied the multi-sensor fusion indoor positioning method based on UWB and visual positioning. The software and hardware platform of the UWB positioning unit was designed,the visual positioning method based on MMTracking was called and modified,two indoor positioning technologies were realized,and a two-sensor data fusion model based on Bayesian estimation was constructed. The experimental results showed that this method had a good positioning effect and improved the measurement accuracy and stability of indoor positioning.