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This document presents a novel trajectory prediction method for flying objects, specifically aimed at predicting the landing point of tennis balls using a dual-transformer-cascaded architecture that incorporates prior environmental information. The study addresses challenges in traditional prediction methods, such as computational inefficiencies and neglect of critical trajectory points, by utilizing a comprehensive dataset constructed from high-quality trajectory information captured by an industrial camer

Author

molitay2573

Language

EN