Track data of vessels is usually sampled by radar and AIS devices. The accuracy of data and sample cycle of radar systems are different from AIS’s. Track fusion of radar and AIS data can improve the accuracy and reliability of vessel tracks. This paper researches the fusion method of vessel tracks based on the radar and AIS data. The track fusion architecture model, coordinate transformation, time alignment, track correlation and weighted fusion algorithm are studied. The simulation experiment is done to validate this method and the results show position error of fused track is reduced and the fusion method is feasible.
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