most citedRecurrent Encoder-Decoder Networks for Vessel Trajectory Prediction with Uncertainty Estimation

2 citations · 2 across the 1 of their papers we have counts for

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2 papers

cs.CV2022★ 2 cited

Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction with Uncertainty Estimation

Samuele Capobianco, Nicola Forti, Leonardo M. Millefiori +2

Recent deep learning methods for vessel trajectory prediction are able to learn complex maritime patterns from historical Automatic Identification System (AIS) data and accurately…

eess.SY2018

MAP moving horizon estimation for threshold measurements with application to field monitoring

Giorgio Battistelli, Luigi Chisci, Nicola Forti +1

The paper deals with state estimation of a spatially distributed system given noisy measurements from pointwise-in-time-and-space threshold sensors spread over the spatial domain o…