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Spatial Temporal Attention Based Target Vehicle Trajectory Prediction For Internet of Vehicles by Basha Fayissa is a document available to read on EtoBox.
This paper presents a Spatio Temporal Attention-based methodology for Target Vehicle Trajectory Prediction (STATVTPred) aimed at enhancing the accuracy of vehicle trajectory forecasting in complex traffic environments. The approach integrates GPS localization, Graph Attention Networks for spatial feature extraction, and Transformer technology for temporal feature extraction, resulting in improved prediction performance compared to existing models. Experimental results demonstrate that STATVTPred significant
- Author
- Basha Fayissa
- Language
- EN