Journal of Jianghan University (Natural Science Edition) ›› 2023, Vol. 51 ›› Issue (3): 47-54.doi: 10.16389/j.cnki.cn42-1737/n.2023.03.005

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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

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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.