DAISTIN: A Data-Driven AIS Trajectory Interpolation Method

Author:

Magnussen Búgvi Benjamin1ORCID,Bläser Nikolaj1ORCID,Lu Hua2ORCID

Affiliation:

1. Roskilde University, Denmark and TORM A/S, Denmark

2. Roskilde University, Denmark

Funder

Innovation Fund Denmark

Publisher

ACM

Reference32 articles.

1. Estimated Time of Arrival Using Historical Vessel Tracking Data

2. Philippe Besse , Brendan Guillouet , Jean-Michel Loubes , and Royer François . 2015. Review and perspective for distance based trajectory clustering. arXiv preprint arXiv:1508.04904 ( 2015 ). Philippe Besse, Brendan Guillouet, Jean-Michel Loubes, and Royer François. 2015. Review and perspective for distance based trajectory clustering. arXiv preprint arXiv:1508.04904 (2015).

3. BigOceanData. [n. d.]. The Definitive AIS Handbook. http://www.marineinsight.com/wp-content/uploads/2016/11/AiS-Whitepaper.pdf BigOceanData. [n. d.]. The Definitive AIS Handbook. http://www.marineinsight.com/wp-content/uploads/2016/11/AiS-Whitepaper.pdf

4. Deep Learning Methods for Vessel Trajectory Prediction Based on Recurrent Neural Networks

5. Biornar  R. Dalsnes , Simen Hexeberg , Andreas  L. Flaten , Bjorn-Olav  H. Eriksen , and Edmund  F. Brekke . 2018 . The Neighbor Course Distribution Method with Gaussian Mixture Models for AIS-Based Vessel Trajectory Prediction. In 2018 21st International Conference on Information Fusion (FUSION). 580–587 . Biornar R. Dalsnes, Simen Hexeberg, Andreas L. Flaten, Bjorn-Olav H. Eriksen, and Edmund F. Brekke. 2018. The Neighbor Course Distribution Method with Gaussian Mixture Models for AIS-Based Vessel Trajectory Prediction. In 2018 21st International Conference on Information Fusion (FUSION). 580–587.

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