CSFFN: A cross-spatiotemporal feature fusion network with future interaction for vehicle trajectory prediction
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Published online on November 19, 2025
Abstract
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
The development of autonomous driving technology relies on high-precision trajectory prediction. However, existing methods mostly focus on historical vehicle interaction characteristics while neglecting the impact of potential future interactions on ...
The development of autonomous driving technology relies on high-precision trajectory prediction. However, existing methods mostly focus on historical vehicle interaction characteristics while neglecting the impact of potential future interactions on ...