A Deep Learning Approach for General Aviation Trajectory Prediction Based on Stochastic Processes for Uncertainty Handling
General aviation trajectory prediction plays a crucial role in enhancing safety and operational efficiency at non-towered airports. However, current research faces multiple challenges including variable weather conditions, complex aircraft interactions, and flight pattern constraints specified by ge...
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| Main Authors: | Houru Hu, Ye Yuan, Qingwen Xue |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/12/6810 |
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