Title :
Research on the Recognition of the Inland Ship Motion Status under the Stopping and Low-Speed Sailing Condition
Author :
Liu Chen-guang ; Ma Feng ; Mao Zhe
Abstract :
Due to interferences and some other reasons, the GNSS(global navigation satellite system) module in AIS would provide fault information, it is difficult to distinguish whether is the vessels are stopping or low-speed sailing without the help of Kalman filter algorithm. This paper has proposed a method to handle the error in GNSS information in AIS messages, which turns out to be effective in the experiment.
Keywords :
Global Positioning System; fault diagnosis; marine communication; motion estimation; object recognition; ships; AIS; GNSS; automatic identify system; fault information; global navigation satellite system; inland ship motion recognition; speed sailing condition; stopping condition; vessel; Accuracy; Equations; Global Positioning System; Kalman filters; Marine vehicles; Mathematical model; Noise; AIS; GPS Error; Recognition;
Conference_Titel :
Distributed Computing and Applications to Business, Engineering & Science (DCABES), 2012 11th International Symposium on
Conference_Location :
Guilin
Print_ISBN :
978-1-4673-2630-8
DOI :
10.1109/DCABES.2012.105
