The article presents issues connected with association of radar and AIS targets in the process of integration of this two systems. Theoretical analysis of the problem has been carried out. IMO requirements has been depicted and included in three association criteria proposed, which sequentially implemented in the algorithm allow firm association of radar and AIS targets. The general condition for association has been presented and it has been subsequently detailed for each criterion. As the basic test association of the position has been taken and it can be supplemented by association of movement vector and history of association in the furtherer steps. In each case the association gate has been defined. The sizes of gates, which allow to consider chosen criterion as fulfilled has been determined by analysis. The presented association algorithms may be used as the first step of radar–AIS integration to lead to multisensory vector fusion in the consecutive steps

The paper presents a software implementation of multiple model neural filter for radar target tracking. Such a filter may be proposed as an interesting alternative for numerical filters. The main purpose of software implementation is to provide a tool for complex research of the filter possibilities and adjusting options. A concept of a filter is briefly mentioned, however the main body of paper is focused on user-approach detailed description of application with UML use-case diagrams. Examples of detailed presentation of usecases are given and the general use-case diagram for application is included. The application itself is to be an advanced tool for researchers interested in analyzing target tracking process, providing different tracking methods and the possibility of adjusting their parameters. The possibility of simulating any scenario, as well as working with real data (also on-line) was ensured. The research was financed by Polish National Centre of Science under the research project “Development of radar target tracking methods of floating targets with the use of multiple model neural filtering”

Radar target tracking on a sea-going ship is a basic source of information about movement of other vessels, influencing directly safety of navigation. The research on improving of tracking methods has led to a new concept of multiple model neural filtration, which is a combination of multiple model approach with the use of artificial neural networks for the needs of estimation of movement vector. One of the key issue during designing of filter id to establish rules of interaction between elementary filters. The paper presents the most popular methods of manoeuvre detection and interaction of elementary filters in the numerical filtration. The modifications of them for the needs of neural tracking are proposed. Additionally, a concept of use of probabilistic neural network for this purpose is described. The idea was checked in the experimental research with the use of simulation. The result of the research confirmed usefulness of using PNN in multiple model filtration, showing however simultaneously the directions of future research in this. The research was financed by Polish National Centre of Science under the research project “Development of radar target tracking methods of floating targets with the use of multiple model neural filtering”

Mobile devices are increasingly popular among recreational water users and for navigational purposes. Making full use of the possibilities they offer requires a navigational system to be designed and built for mobile devices which make use of mobile cartography. A dynamically adaptive mobile presentation model offering various display possibilities may be an appropriate example of such a system. The navigational purpose of the system, however, requires that the main navigational data presented are integrated in one place, in a so-called conning display. These data should be easily accessible to the user, which is not always the case with mobile devices. The idea of using a Head-Up Display (HUD) as a conning display in a mobile navigation system arose from these considerations. The current paper presents research on implementing a HUD into a mobile system. First, the idea of mobile cartographic presentation is discussed, then the navigational data available in the system are presented. Finally, the concept of using a HUD is explained, a HUD presentation model is shown and technical aspects of HUD integration are described.