A lightweight YOLOv8n-based method for rail surface defect detection in complex railway environments.

Zhu W, Wang W, Shi W, Wang Z, Yang Y

DOI: 10.1038/s41598-026-58883-3
Published: 2026 Jun 29
Container: Scientific reports
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-58883-3,
  title = {A lightweight YOLOv8n-based method for rail surface defect detection in complex railway environments.},
  author = {Zhu W and Wang W and Shi W and Wang Z and Yang Y},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-58883-3},
  url = {https://doi.org/10.1038/s41598-026-58883-3}
}

RIS

TY  - JOUR
TI  - A lightweight YOLOv8n-based method for rail surface defect detection in complex railway environments.
AU  - Zhu W
AU  - Wang W
AU  - Shi W
AU  - Wang Z
AU  - Yang Y
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-58883-3
UR  - https://doi.org/10.1038/s41598-026-58883-3
ER  -

APA

W, Z., W, W., W, S., Z, W., & Y, Y. (2026). A lightweight YOLOv8n-based method for rail surface defect detection in complex railway environments.. Scientific reports. https://doi.org/10.1038/s41598-026-58883-3

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pubmed · retrieved 2026-09-25T10:54:16.544Z