Evidence map›Paper›PMID 35591011›Full record

ArticleSensors (Basel, Switzerland)2022

Research Trends in Collaborative Drones.

Michel Barbeau, Joaquin Garcia-Alfaro, Evangelos Kranakis

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Risks of Drone Use in Light of Literature Studies.Sensors (Basel, Switzerland) · 2024
    Review
  2. 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

3 authors.

Michel BarbeauSchool of Computer Science, Carleton University, Ottawa, ON K1S 5B6, Canada.ORCID 0000-0003-3531-4926
Joaquin Garcia-AlfaroTélécom SudParis, Institut Polytechnique de Paris, 91120 Palaiseau, France.ORCID 0000-0002-7453-4393
Evangelos KranakisSchool of Computer Science, Carleton University, Ottawa, ON K1S 5B6, Canada.ORCID 0000-0002-8959-4428

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The last decade has seen an explosion of interest in drones-introducing new networking technologies, such as 5G wireless connectivity and cloud computing. The resulting advancements in communication capabilities are already expanding the ubiquitous role of drones as primary solution enablers, from search and rescue missions to information gathering and parcel delivery. Their numerous applications encompass all aspects of everyday life. Our focus is on networked and collaborative drones. The available research literature on this topic is vast. No single survey article could do justice to all critical issues. Our goal in this article is not to cover everything and include everybody but rather to offer a personal perspective on a few selected research topics that might lead to fruitful future investigations that could play an essential role in developing drone technologies. The topics we address include distributed computing with drones for the management of anonymity, countering threats posed by drones, target recognition, navigation under uncertainty, risk avoidance, and cellular technologies. Our approach is selective. Every topic includes an explanation of the problem, a discussion of a potential research methodology, and ideas for future research.

Indexed as

TechnologyUnmanned Aerial DevicesForecastingcellular technologiescountering drone threatsdistributed computingdronemanagement of anonymitynavigationrisk avoidancetarget recognition

Identifiers

PMID35591011
PMCPMC9104592

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.