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CSFFN: A cross-spatiotemporal feature fusion network with future interaction for vehicle trajectory prediction

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Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Published online on

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 ...