Vit-Traj: A Spatial–Temporal Coupling Vehicle Trajectory Prediction Model Based on Vision Transformer

Vit-Traj: A Spatial–Temporal Coupling Vehicle Trajectory Prediction Model Based on Vision Transformer

Accurately predicting the future trajectory of road users around autonomous vehicles is crucial for path planning and collision avoidance. In recent years, data-driven vehicle trajectory prediction models have become a significant research focus, and various spatial–temporal neural network models, b...

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Bibliographic Details
Main Authors: Rongjun Cheng, Xudong An, Yuanzi Xu
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Systems
Subjects:
trajectory prediction
spatial–temporal data
vision transformer
autonomous driving
Online Access:https://www.mdpi.com/2079-8954/13/3/147
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