WFG-RT-DETR: A Highly Robust Object Detection Model for Autonomous Vehicles in Adverse Weather Conditions
- DOI
- 10.3390/s26175475
- Published
- 2026-08-29
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26175475,
title = {WFG-RT-DETR: A Highly Robust Object Detection Model for Autonomous Vehicles in Adverse Weather Conditions},
author = {Xiaona Song and Jing Liu and Runqing Zhang and Lijun Wang},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26175475},
url = {https://doi.org/10.3390/s26175475}
}RIS
TY - JOUR TI - WFG-RT-DETR: A Highly Robust Object Detection Model for Autonomous Vehicles in Adverse Weather Conditions AU - Xiaona Song AU - Jing Liu AU - Runqing Zhang AU - Lijun Wang PY - 2026 JO - Sensors DO - 10.3390/s26175475 UR - https://doi.org/10.3390/s26175475 ER -
APA
Song, X., Liu, J., Zhang, R., & Wang, L. (2026). WFG-RT-DETR: A Highly Robust Object Detection Model for Autonomous Vehicles in Adverse Weather Conditions. Sensors. https://doi.org/10.3390/s26175475
Source records
- crossref · retrieved 2026-09-25T02:36:20.323Z