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An unmanned aerial vehicle captured dataset for railroad segmentation and obstacle detection

An unmanned aerial vehicle captured dataset for railroad segmentation and obstacle detection

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_385ed3b6aab746c787895dff5420cab1

An unmanned aerial vehicle captured dataset for railroad segmentation and obstacle detection

About this item

Full title

An unmanned aerial vehicle captured dataset for railroad segmentation and obstacle detection

Publisher

London: Nature Publishing Group UK

Journal title

Scientific data, 2024-12, Vol.11 (1), p.1315-12, Article 1315

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Safety is crucial in the railway industry because railways transport millions of passengers and employees daily, making it paramount to prevent injuries and fatalities. In order to guarantee passenger safety, computer vision, unmanned aerial vehicles (UAV), and artificial intelligence will be essential tools in the near future for routinely evaluat...

Alternative Titles

Full title

An unmanned aerial vehicle captured dataset for railroad segmentation and obstacle detection

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_385ed3b6aab746c787895dff5420cab1

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_385ed3b6aab746c787895dff5420cab1

Other Identifiers

ISSN

2052-4463

E-ISSN

2052-4463

DOI

10.1038/s41597-024-03952-3

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