Accurate and Robust Floor Positioning in Complex Indoor Environments

Clicks: 267
ID: 260707
2020
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #846 of 1,694 articles by views in sensors

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 1,694 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
With the widespread development of location-based services, the demand for accurate indoor positioning is getting more and more urgent. Floor positioning, as a prerequisite for indoor positioning in multi-story buildings, is particularly important. Though lots of work has been done on floor positioning, the existing studies on floor positioning in complex multi-story buildings with large hollow areas through multiple floors still cannot meet the application requirements because of low accuracy and robustness. To obtain accurate and robust floor estimation in complex multi-story buildings, we propose a novel floor positioning method, which combines the Wi-Fi based floor positioning (BWFP), the barometric pressure-based floor positioning (BPFP) with HMM and the XGBoost based user motion detection. Extensive experiments show that using our proposed method can achieve 99.2% accuracy, which outperforms other state-of-the-art floor estimation methods.
Reference Key
huang2020sensorsaccurate Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Jingyu Huang;Haiyong Luo;Wenhua Shao;Fang Zhao;Shuo Yan;Huang, Jingyu;Luo, Haiyong;Shao, Wenhua;Zhao, Fang;Yan, Shuo;
Journal sensors
Year 2020
DOI
10.3390/s20092698
URL
https://www.mdpi.com/1424-8220/20/9/2698
Keywords
motion detection wi-fi hmm floor positioning barometric pressure

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.