About
Contact & Profiles
A5103174355
Research Areas
- Autonomous Vehicle Technology and Safety
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Traffic Prediction and Management Techniques
Sun Yat-sen University
2024
10.1016/j.eswa.2024.124923
article
EN
Expert Systems with Applications
2024-12-01
For autonomous driving, accurate trajectory prediction is paramount, necessitating effective harnessing of spatiotemporal data. This study proposes an innovative Spatiotemporal Transformer-based model, enhancing precision by leveraging a multi-head self-attention mechanism. mechanism intricately captures both inter-vehicular interactions and temporal dependencies. The structured around LSTM-based encoder-decoder framework, innovatively considers spatial among observed future trajectories...
10.1145/3654823.3654871
article
EN
2024-03-22
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