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Updated: Feb 28, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
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使用INS-GNSS可穿戴设备预测行人轨迹的方法

Shengli Pang1, Zhe Wang1, Shiji Xu1

  • 1College of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an 710121, China.

Sensors (Basel, Switzerland)
|February 27, 2026
PubMed
概括

这项研究引入了一种新的多源感知融合系统,使用可穿戴INS-GNSS设备进行增强的行人轨迹预测. 该系统显著提高了本地化和预测准确性,优于现有模型.

关键词:
在INS-GNSS的整合.适应式卡尔曼波器 适应式卡尔曼波器预测行人轨迹的预测融合传感器 融合传感器 融合传感器可以穿戴的传感器.

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