Articles | Volume 16, issue 1
https://doi.org/10.5194/ms-16-87-2025
https://doi.org/10.5194/ms-16-87-2025
Research article
 | 
06 Feb 2025
Research article |  | 06 Feb 2025

Interactive trajectory prediction for autonomous driving based on Transformer

Rui Xu, Jun Li, Shiyi Zhang, Lei Li, Hulin Li, Guiying Ren, and Xinglong Tang

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Short summary
A trajectory prediction model based on Transfomer has been proposed to address the issue of long-term prediction accuracy in complex traffic environments. Optimizing multi-head attention based on knowledge of the scene context and vehicle position generates interactions between maps and agents, as well as between agents themselves. Its effectiveness has been evaluated on the basis of the outdoor dataset, and higher precision was achieved.
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