Evidence map›Paper›PMID 37514726›Full record

ArticleSensors (Basel, Switzerland)2023

Homogeneous Sensor Fusion Optimization for Low-Cost Inertial Sensors.

Dusan Nemec, Jan Andel, Vojtech Simak, Jozef Hrbcek

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

4 authors.

Dusan NemecDepartment of Control and Information Systems, Faculty of Electrical Engineering and Information Technology, University of Žilina, 01026 Zilina, Slovakia.ORCID 0000-0003-1837-4046
Jan AndelDepartment of Control and Information Systems, Faculty of Electrical Engineering and Information Technology, University of Žilina, 01026 Zilina, Slovakia.
Vojtech SimakDepartment of Control and Information Systems, Faculty of Electrical Engineering and Information Technology, University of Žilina, 01026 Zilina, Slovakia.
Jozef HrbcekDepartment of Control and Information Systems, Faculty of Electrical Engineering and Information Technology, University of Žilina, 01026 Zilina, Slovakia.ORCID 0000-0002-6984-9470

Funding

VEGA 1/0241/22
6 · The paper itself

Abstract

The article deals with sensor fusion and real-time calibration in a homogeneous inertial sensor array. The proposed method allows for both estimating the sensors' calibration constants (i.e., gain and bias) in real-time and automatically suppressing degraded sensors while keeping the overall precision of the estimation. The weight of the sensor is adaptively adjusted according to the RMSE concerning the weighted average of all sensors. The estimated angular velocity was compared with a reference (ground truth) value obtained using a tactical-grade fiber-optic gyroscope. We have experimented with low-cost MEMS gyroscopes, but the proposed method can be applied to basically any sensor array.

Indexed as

calibrationdata averagingMEMS gyroscopesensor fusion

Identifiers

PMID37514726
PMCPMC10385938

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.