Robust Magnetic Indoor Localization via Multi-scale Spatiotemporal Feature Modeling and Adaptive Fusion

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Artificial Intelligence | 更新时间：2026-02-09

- Robust Magnetic Indoor Localization via Multi-scale Spatiotemporal Feature Modeling and Adaptive Fusion
- “In the field of geomagnetic indoor positioning, experts have proposed a robust geomagnetic indoor positioning model based on multi-scale spatiotemporal feature modeling and adaptive fusion, which provides an effective solution to problems such as weak semantic expression ability of feature positions and fuzzy multi-scale sequences.”
- Software Guide Vol. 25, Issue 2, Pages: 74-82(2026)
- 作者机构：
  
  内蒙古民族大学计算机科学与技术学院，内蒙古通辽 028043
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.251731
  CLC： TP183
- Received：30 October 2025，
  
  Published：26 February 2026
- 稿件说明：
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张志伟,王庆虎,刘金宇等.多尺度时空特征建模与自适应融合的鲁棒地磁室内定位[J].软件导刊,2026,25(02):74-82.

ZHANG Zhiwei,WANG Qinghu,LIU Jinyu,et al.Robust Magnetic Indoor Localization via Multi-scale Spatiotemporal Feature Modeling and Adaptive Fusion[J].Software Guide,2026,25(02):74-82.
张志伟,王庆虎,刘金宇等.多尺度时空特征建模与自适应融合的鲁棒地磁室内定位[J].软件导刊,2026,25(02):74-82. DOI： 10.11907/rjdk.251731.

ZHANG Zhiwei,WANG Qinghu,LIU Jinyu,et al.Robust Magnetic Indoor Localization via Multi-scale Spatiotemporal Feature Modeling and Adaptive Fusion[J].Software Guide,2026,25(02):74-82. DOI： 10.11907/rjdk.251731.

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