Evidence map›Paper›PMID 33946857›Full record

SynthesisSensors (Basel, Switzerland)2021

A Systematic Review of Urban Navigation Systems for Visually Impaired People.

Fatma El-Zahraa El-Taher, Ayman Taha, Jane Courtney, Susan Mckeever

Abstract readSystematic Review
In one paragraph

Synthesis 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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Using Virtual Reality to Enhance Mobility, Safety, and Equity for Persons with Vision Loss in Urban Environments.Journal of urban health : bulletin of the New York Academy of Medicine · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. 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.

Fatma El-Zahraa El-TaherSchool of Computer Science, Technological University Dublin, D07EWV4 Dublin, Ireland.
Ayman TahaSchool of Computer Science, Technological University Dublin, D07EWV4 Dublin, Ireland.
Jane CourtneySchool of Computer Science, Technological University Dublin, D07EWV4 Dublin, Ireland.ORCID 0000-0002-9175-7855
Susan MckeeverSchool of Computer Science, Technological University Dublin, D07EWV4 Dublin, Ireland.

Funding

Science Foundation Ireland 18/CRT/6222
6 · The paper itself

Abstract

Blind and Visually impaired people (BVIP) face a range of practical difficulties when undertaking outdoor journeys as pedestrians. Over the past decade, a variety of assistive devices have been researched and developed to help BVIP navigate more safely and independently. In addition, research in overlapping domains are addressing the problem of automatic environment interpretation using computer vision and machine learning, particularly deep learning, approaches. Our aim in this article is to present a comprehensive review of research directly in, or relevant to, assistive outdoor navigation for BVIP. We breakdown the navigation area into a series of navigation phases and tasks. We then use this structure for our systematic review of research, analysing articles, methods, datasets and current limitations by task. We also provide an overview of commercial and non-commercial navigation applications targeted at BVIP. Our review contributes to the body of knowledge by providing a comprehensive, structured analysis of work in the domain, including the state of the art, and guidance on future directions. It will support both researchers and other stakeholders in the domain to establish an informed view of research progress.

Indexed as

Persons with Visual DisabilitiesSelf-Help DevicesSensory AidsBlindnessHumansMachine Learningassistive systemsautonomous drivingindependent children navigationnavigation systemsobstacle avoidanceplanning journeysrobot navigationsmart citiesvisually impaired people

Identifiers

PMID33946857
PMCPMC8125253

What OpenQuestion holds

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LicenceCC BY
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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.