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Line-YOLO: An Efficient Detection Algorithm for Power Line Angle

Line-YOLO: An Efficient Detection Algorithm for Power Line Angle

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a15316d80df84e58a31f19150d2e536b

Line-YOLO: An Efficient Detection Algorithm for Power Line Angle

About this item

Full title

Line-YOLO: An Efficient Detection Algorithm for Power Line Angle

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2025-01, Vol.25 (3), p.876

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Aiming at the problem that the workload of human judgment of the power line tilt angle is large and prone to large errors, this paper proposes an improved algorithm Line-YOLO based on YOLOv8s-seg. Firstly, the problem of the variable shape of the power line is solved through the introduction of deformable convolutional DCNv4, and the detection accu...

Alternative Titles

Full title

Line-YOLO: An Efficient Detection Algorithm for Power Line Angle

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a15316d80df84e58a31f19150d2e536b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a15316d80df84e58a31f19150d2e536b

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s25030876

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