Parameter-Efficient Vehicle Trajectory Prediction Based on Attention-Enhanced Liquid Structural Neural Model
Due to advances in sensor techniques and deep learning, autonomous vehicular technologies have become more reliable and practical. Trajectory prediction is a critical task to anticipate the future positions of surrounding vehicles. However, existing algorithms, such as LSTM-based and attention-based...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI AG
2024-12-01
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| Serier: | World Electric Vehicle Journal |
| Fag: | |
| Online adgang: | https://www.mdpi.com/2032-6653/16/1/19 |
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