Evidence map›Paper›PMID 36904711›Full record

ArticleSensors (Basel, Switzerland)2023

Innovative Fusion Strategy for MEMS Redundant-IMU Exploiting Custom 3D Components.

Giorgio de Alteriis, Alessia Teresa Silvestri, Claudia Conte, Verdiana Bottino, Enzo Caputo, Antonino Squillace, Domenico Accardo, Rosario Schiano Lo Moriello

Full text 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. 3D printing of micro-nano devices and their applications.Microsystems & nanoengineering · 2025
    Review
  4. Article
  5. Article
  6. 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

8 authors.

Giorgio de AlteriisDepartment of Industrial Engineering, University of Naples Federico II, Piazzale Tecchio 80, 80125 Naples, Italy.ORCID 0000-0002-4460-6640
Alessia Teresa SilvestriDepartment of Chemical, Materials and Production Engineering, University of Naples Federico II, Piazzale Tecchio 80, 80125 Naples, Italy.ORCID 0000-0001-7132-4713
Claudia ConteDepartment of Industrial Engineering, University of Naples Federico II, Piazzale Tecchio 80, 80125 Naples, Italy.ORCID 0000-0001-9441-2927
Verdiana BottinoDepartment of Industrial Engineering, University of Naples Federico II, Piazzale Tecchio 80, 80125 Naples, Italy.
Enzo CaputoDepartment of Industrial Engineering, University of Naples Federico II, Piazzale Tecchio 80, 80125 Naples, Italy.
Antonino SquillaceDepartment of Chemical, Materials and Production Engineering, University of Naples Federico II, Piazzale Tecchio 80, 80125 Naples, Italy.ORCID 0000-0003-2931-1497
Domenico AccardoDepartment of Industrial Engineering, University of Naples Federico II, Piazzale Tecchio 80, 80125 Naples, Italy.ORCID 0000-0001-8843-0109
Rosario Schiano Lo MorielloDepartment of Industrial Engineering, University of Naples Federico II, Piazzale Tecchio 80, 80125 Naples, Italy.ORCID 0000-0003-4875-2845

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the overall performances of inertial Micro-Electro Mechanical Sensors (MEMSs) exhibited substantial improvements to values very close or similar to so-called tactical-grade sensors. However, due to their high costs, numerous researchers are currently focusing on the performance enhancement of cheap consumer-grade MEMS inertial sensors for all those applications (as an example, small unmanned aerial vehicles, UAVs), where cost effectiveness is a relevant request; the use of redundancy proves to be a feasible method for this purpose. In this regard, the authors propose, hereinafter, a suitable strategy aimed at fusing raw measurements provided by multiple inertial sensors mounted on a 3D-printed structure. In particular, accelerations and angular rates measured by the sensors are averaged according to weights associated with the results of an Allan variance approach; the lower the noise figure of the sensors, the greater their weight on the final averaged values. On the other hand, possible effects on the measurements due to the use of a 3D structure in reinforced ONYX (a material capable of providing better mechanical specifications for avionic applications with respect to other solutions for additive manufacturing) were evaluated. The performance of a prototype implementing the considered strategy is compared with that of a tactical-grade inertial measurement unit in stationary conditions, exhibiting differences as low as 0.3 degrees in heading measurements. Moreover, the reinforced ONYX structure does not significantly affect the measured values in terms of both thermal and magnetic field while assuring better mechanical characteristics with respect to other 3D printing materials, thanks to a tensile strength of about 250 MPa and a specific stacking sequence of continuous fibers. Finally, a test conducted on an actual UAV highlights performance very close to that of a reference unit, with root-mean-square error in heading measurements as low as 0.3 degrees in observation intervals up to 140 s.

Indexed as

additive manufacturingAllan variancedata fusionmulti-sensorsredundant-IMUweighted average

Identifiers

PMID36904711
PMCPMC10007036

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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.