Line-Constrained Trajectory Correction for Indoor Pedestrian Positioning

Haibin Sun*, Yanjie Xu, Gao Chang, Chaoyang Jiang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents an indoor pedestrian positioning method that considers the line-constraint of trajectory and the correction based on historical heading. Firstly, the height is determined with the aid of barometric data fusion. Then, the pedestrian's historical states are evaluated to determine if they are walking on a straight-line trajectory. The trajectory heading of other floors that meet the conditions are updated using the more accurate heading characteristics of the initial floor. The unconstrained position estimate is limited to the constrained set by using the projection method and the final positioning result is given. Finally, the effectiveness of this localization method was demonstrated via an indoor experimental validation.

Original languageEnglish
Title of host publicationProceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023
EditorsWenjian Cai, Guilin Yang, Jun Qiu, Tingting Gao, Lijun Jiang, Tianjiang Zheng, Xinli Wang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1845-1850
Number of pages6
ISBN (Electronic)9798350312201
DOIs
Publication statusPublished - 2023
Event18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023 - Ningbo, China
Duration: 18 Aug 202322 Aug 2023

Publication series

NameProceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023

Conference

Conference18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023
Country/TerritoryChina
CityNingbo
Period18/08/2322/08/23

Keywords

  • Inertial Localization
  • Line Constraints
  • Pedestrian Positioning
  • Zero-Velocity Update

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