With the development of Automatic Identification System (AIS), more and more vessels are equipped with AIS device, which is a new tool for vessel monitoring and marine safety. In this paper, we compared the function of AIS and radar, the traditional tool for Vessel Traffic Service (VTS). And then we discussed the necessity of data fusion of the same target from the two sensors of AIS and radar. According to the characteristic and the difference of tracking performance of AIS and radar we proposed a fuzzy correlation method for target tracking and data fusion. The experiment shows that the proposed method is correct and efficient and it can improve the performance and the stability of VTS
Abstract:- A method for improving the sea traffic control and surveillance is presented in the paper...
The use of radar information for collision avoidance is common, however it is effective only for con...
Maritime surveillance of coastal regions requires the processing of a large amount of data. Therefor...
As autonomous ships become the future trend for maritime transportation, it is of importance to deve...
To enable autonomous sea vessel's safe voyage, a real time situational awareness system is required....
This thesis presents a fuzzy association based data fusion algorithm for U.S. Coast Guard Vessel Tra...
Detection of small crafts/targets, in particular, sailing yachts with the ship's radar is not always...
According to the IMO recommendation when the target data from AIS and radar tracking are both availa...
Collision avoidance is one of the high-level safety objectives and requires a complete and reliable ...
Collision avoidance is one of the high-level safety objectives and requires a complete and reliable ...
Early vessel profiling and risk assessment is a critical component of advanced maritime tracking sys...
Referat prezentuje zasady fuzji danych o obiektach pływających, pochodzących z radarowych układów śl...
Safety and security are top concerns in maritime navigation, particularly as maritime traffic contin...
In Vessel Traffic System, AIS can detect a larger number of targets without considering the shadow e...
AbstractTargets association judgment is one of kernels in the processing of multi-targets informatio...
Abstract:- A method for improving the sea traffic control and surveillance is presented in the paper...
The use of radar information for collision avoidance is common, however it is effective only for con...
Maritime surveillance of coastal regions requires the processing of a large amount of data. Therefor...
As autonomous ships become the future trend for maritime transportation, it is of importance to deve...
To enable autonomous sea vessel's safe voyage, a real time situational awareness system is required....
This thesis presents a fuzzy association based data fusion algorithm for U.S. Coast Guard Vessel Tra...
Detection of small crafts/targets, in particular, sailing yachts with the ship's radar is not always...
According to the IMO recommendation when the target data from AIS and radar tracking are both availa...
Collision avoidance is one of the high-level safety objectives and requires a complete and reliable ...
Collision avoidance is one of the high-level safety objectives and requires a complete and reliable ...
Early vessel profiling and risk assessment is a critical component of advanced maritime tracking sys...
Referat prezentuje zasady fuzji danych o obiektach pływających, pochodzących z radarowych układów śl...
Safety and security are top concerns in maritime navigation, particularly as maritime traffic contin...
In Vessel Traffic System, AIS can detect a larger number of targets without considering the shadow e...
AbstractTargets association judgment is one of kernels in the processing of multi-targets informatio...
Abstract:- A method for improving the sea traffic control and surveillance is presented in the paper...
The use of radar information for collision avoidance is common, however it is effective only for con...
Maritime surveillance of coastal regions requires the processing of a large amount of data. Therefor...