An integrated method for railway fastener defect detection and geometric parameter measurement using 3D line laser sensor
Xiaocui Yuan, Wenyu Liu, Yongli Ma, Yongtao Wang, Baoling Liu · 2026
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Description
Xiaocui Yuan and colleagues built an automated system that both finds defects in railway fasteners and measures their parts precisely. Fasteners hold rails in place, and worn or broken ones threaten train safety. Inspectors can spot defects with cameras, but careful measurement of each part still relies on slow hand work.
A 3D line laser scanner captures color images and matching depth maps of each fastener. One neural network spots defects and locates sound fasteners, while a second segments the parts so the system can compute block sizes, pad thickness, and bolt height. In tests the defect finder reached very high precision, pointing toward faster and more consistent track inspection.
Catalog record
| CREATOR | Xiaocui Yuan, Wenyu Liu, Yongli Ma, Yongtao Wang, Baoling Liu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 64666 |
| LICENSE | CC_BY |
| RIGHTS | CC BY |
| SOURCE | PLOS |