Probabilistic Bird Trajectory Forecasting with Heavy-Tailed Uncertainty Modeling for Low-Altitude Airspace Monitoring
- DOI
- 10.3390/s26041270
- Published
- 2026-02-15
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26041270,
title = {Probabilistic Bird Trajectory Forecasting with Heavy-Tailed Uncertainty Modeling for Low-Altitude Airspace Monitoring},
author = {Feiyang Song and Zhonghe Liu and Yuyang Zhao and Jingguo Zhu},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26041270},
url = {https://doi.org/10.3390/s26041270}
}RIS
TY - JOUR TI - Probabilistic Bird Trajectory Forecasting with Heavy-Tailed Uncertainty Modeling for Low-Altitude Airspace Monitoring AU - Feiyang Song AU - Zhonghe Liu AU - Yuyang Zhao AU - Jingguo Zhu PY - 2026 JO - Sensors DO - 10.3390/s26041270 UR - https://doi.org/10.3390/s26041270 ER -
APA
Song, F., Liu, Z., Zhao, Y., & Zhu, J. (2026). Probabilistic Bird Trajectory Forecasting with Heavy-Tailed Uncertainty Modeling for Low-Altitude Airspace Monitoring. Sensors. https://doi.org/10.3390/s26041270
Source records
- crossref · retrieved 2026-09-26T18:13:05.175Z