Name
Abstract | ||
|---|---|---|
The growing availability of data coming from ship reporting systems, such as Automatic Identification System (AIS) and Long Range Identification and Tracking (LRIT), is originating an unprecedented set of opportunities to enforce maritime surveillance, ensure the security of the traffic at sea, and manage maritime operations. In this paper, a data-driven methodology is proposed to estimate the ves... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TITS.2017.2789279 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
Artificial intelligence,Marine vehicles,Estimation,Safety,Security,Data mining,Radar tracking | Data set,Port (computer networking),Simulation,Estimated time of arrival,Exploit,Real-time computing,Tracking data,Automatic Identification System,Engineering,Operational efficiency,Area of interest | Journal |
Volume | Issue | ISSN |
20 | 1 | 1524-9050 |
Citations | PageRank | References |
7 | 0.54 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alfredo Alessandrini | 1 | 17 | 1.61 |
| Fabio Mazzarella | 2 | 35 | 3.94 |
| Michele Vespe | 3 | 166 | 14.03 |