A cascaded detection method for railway foreign object intrusion in extreme weather based on improved LR-ASPP and fused Mamba-YOLO
Abstract Low visibility and image degradation caused by adverse weather seriously threaten the operational safety of high-speed railways. This poses core challenges for existing visual detection methods in complex degradation scenarios, including missed detection of small objects, blurred feature ex...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Nature Portfolio
2026-04-01
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| Edice: | Scientific Reports |
| On-line přístup: | https://doi.org/10.1038/s41598-026-50869-5 |
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