TrajectoFormer: Transformer-Based Trajectory Prediction of Autonomous Vehicles with Spatio-temporal Neighborhood Considerations

TrajectoFormer: Transformer-Based Trajectory Prediction of Autonomous Vehicles with Spatio-temporal Neighborhood Considerations

Abstract Accurate trajectory prediction of autonomous vehicles is crucial for ensuring road safety. Predicting precise and accurate trajectories is still considered a challenging problem because of the intricate spatio-temporal dependencies among the vehicles. Our study primarily focuses on resolvin...

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Bibliographic Details
Main Authors: Farhana Amin, Kanchon Gharami, Barshon Sen
Format: Article
Language:English
Published: Springer 2024-04-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Autonomous vehicle
Transformer
Trajectory prediction
Automobile
NGSIM
Spatio-temporal dependency
Online Access:https://doi.org/10.1007/s44196-024-00410-1

Internet

https://doi.org/10.1007/s44196-024-00410-1

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