Evidence map›Paper›PMID 39460121›Full record

ArticleSensors (Basel, Switzerland)2024

Ultrasonic Array-Based Multi-Source Fusion Indoor Positioning Technology.

Cong Li, Chenning Zhang, Bing Chen, Shaojian Xu, Luping Xu, Bo Yan

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Cong LiNational Key Laboratory of Science and Technology on Space Microwave, Xi'an 710100, China.
Chenning ZhangSchool of Aerospace Science and Technology, Xidian University, Xi'an 710126, China.
Bing ChenLaboratory of Transport Safety and Emergency Technology, Transport Planning and Research Institute, Beijing 100029, China.
Shaojian XuBeijing Leiyin Electronic Technology Development Co., Ltd., Beijing 100070, China.
Luping XuSchool of Aerospace Science and Technology, Xidian University, Xi'an 710126, China.
Bo YanSchool of Aerospace Science and Technology, Xidian University, Xi'an 710126, China.

Funding

:"",BDSBAS+ 2021LLRH-06
6 · The paper itself

Abstract

Underground mining involves numerous risks, such as collapses, gas leaks, and explosions, posing significant threats to worker safety. In this work, we develop an indoor localization system that uses Bluetooth for coarse positioning and ultrasonic arrays for precision calibration. This system is particularly useful for automated mining operations in underground environments where satellite positioning signals are unavailable. The indoor localization system consists of ultrasonic receiver arrays and an improved multi-transmitter-multi-receiver algorithm, enabling accurate localization within the mining environment. Geometric Dilution of Precision (GDOP) analysis is incorporated to optimize the network layout, and an inertial navigation module is integrated to track the posture of moving objects, enabling precise trajectory determination over large areas, such as coal mines. In the experiment, three traditional methods were compared, and the proposed tracking approach demonstrated a positioning accuracy within 10 cm, reducing error by 20% compared to conventional techniques. This high-precision indoor localization method proves beneficial for underground mining applications.

Indexed as

GDOPindoor positioningpositioning accuracyTDoAultrasonic

Identifiers

PMID39460121
PMCPMC11510956

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.