Architecture of the ProChunkFormer model. (IMAGE)

Tsinghua University Press

Architecture of the ProChunkFormer model.

Caption

An overview of the ProChunkFormer framework for trajectory reconstruction from sparse and noisy GPS data. The model employs a two-stage decoding process: a skeleton trajectory MM-Semi is first generated via Decoders 1, then refined in parallel through chunk-level decoding blocks with heuristic guidance and multi-task prediction. The final output is a reconstructed full-resolution trajectory.

Credit

Communications in Transportation Research

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