Trajectory Prediction Using an Optimized Bi-LSTM Model With Denoiser and Attention Mechanism
Accurate trajectory prediction is vital for various applications, including target tracking, autonomous navigation, and collision avoidance. Traditional prediction models often struggle to capture complex motion patterns, manage noisy data, and optimize performance. To address these challenges, we i...
Збережено в:
| Автори: | , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
IEEE
2026-01-01
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| Серія: | IEEE Access |
| Предмети: | |
| Онлайн доступ: | https://ieeexplore.ieee.org/document/11428187/ |
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