Automated Road Marking Wear Assessment via Multimodal Fusion of LiDAR Intensity and YOLOv11 Semantic Segmentation.
- DOI
- 10.3390/s26175549
- Published
- 2026 Aug 31
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26175549,
title = {Automated Road Marking Wear Assessment via Multimodal Fusion of LiDAR Intensity and YOLOv11 Semantic Segmentation.},
author = {Chen PY and Hsu SW and Chen PW and Lin HC and Tung CC and Chang SH},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26175549},
url = {https://doi.org/10.3390/s26175549}
}RIS
TY - JOUR TI - Automated Road Marking Wear Assessment via Multimodal Fusion of LiDAR Intensity and YOLOv11 Semantic Segmentation. AU - Chen PY AU - Hsu SW AU - Chen PW AU - Lin HC AU - Tung CC AU - Chang SH PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26175549 UR - https://doi.org/10.3390/s26175549 ER -
APA
PY, C., SW, H., PW, C., HC, L., CC, T., & SH, C. (2026). Automated Road Marking Wear Assessment via Multimodal Fusion of LiDAR Intensity and YOLOv11 Semantic Segmentation.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26175549
Source records
- pubmed · retrieved 2026-09-25T00:22:52.764Z