Author

M. Murad

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Open access Aug 2026

Mix&Fix-Net: A dual-stage trajectory prediction model for AIS and vision-derived vessel data

The proposed Mix&Fix-Net is a dual-stage mixer-based trajectory prediction model designed to handle vessel trajectory time-series data derived from both AIS and (non-AIS) vision data, integrating a Primary Trajectory Predictor with a Residual Trajectory Adjuster, enabling more refined trajectory prediction.

M. Murad, Bora San Turgut, Yasin Yilmaz · Ocean Engineering · 0 citations