Evidence map›Paper›PMID 33671642›Full record

ReviewSensors (Basel, Switzerland)2021

Sensors and Measurements for Unmanned Systems: An Overview.

Eulalia Balestrieri, Pasquale Daponte, Luca De Vito, Francesco Lamonaca

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
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  9. A novel associative memory model based on semi-tensor product (STP).Frontiers in computational neuroscience · 2024
    Article
  10. Article
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  12. Review
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  16. Sensors and Measurements for UAV Safety: An Overview.Sensors (Basel, Switzerland) · 2021
    Review
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.

Eulalia BalestrieriDepartment of Engineering, University of Sannio, 82100 Benevento, Italy.ORCID 0000-0002-9155-5989
Pasquale DaponteDepartment of Engineering, University of Sannio, 82100 Benevento, Italy.
Luca De VitoDepartment of Engineering, University of Sannio, 82100 Benevento, Italy.
Francesco LamonacaDepartment of Computer Science, Modeling, Electronics and Systems (DIMES), University of Calabria, 87036 Rende, CS, Italy.ORCID 0000-0002-6263-8929

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advance of technology has enabled the development of unmanned systems/vehicles used in the air, on the ground or on/in the water. The application range for these systems is continuously increasing, and unmanned platforms continue to be the subject of numerous studies and research contributions. This paper deals with the role of sensors and measurements in ensuring that unmanned systems work properly, meet the requirements of the target application, provide and increase their navigation capabilities, and suitably monitor and gain information on several physical quantities in the environment around them. Unmanned system types and the critical environmental factors affecting their performance are discussed. The measurements that these kinds of vehicles can carry out are presented and discussed, while also describing the most frequently used on-board sensor technologies, as well as their advantages and limitations. The paper provides some examples of sensor specifications related to some current applications, as well as describing the recent research contributions in the field.

Indexed as

challengespayloadsensorsUAVUGVunmanned systemsUSVUUV

Identifiers

PMID33671642
PMCPMC7926674

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.