Proceedings of 3rd International Conference on WaterSide Security, 2012.
3rd International WaterSide Security Conference (WSS), Singapore, May 28 - 30, 2012
In maritime surveillance applications, the aim is to enhance the situation awareness of decision makers located in a central operations centre. Based on the maritime operational picture of the current situation at sea, a decision maker has to decide for specific actions, e.g., for sending out a coast guard boat to counter possible pirate attacks. In order to enable detailed situation awareness in the maritime domain it is necessary to support decision makers with automatic means for in time decisions. Automatic situation assessment (SA) services try to interpret the vessel's behaviour and can be employed as means of enhancing situation awareness. Such SA services have been developed on the basis of an object-oriented world model (OOWM), which is able to fuse object observations from different sensors and to keep the resulting estimated track data in a short-term memory. For enhancing the performance of the SA services, we propose the combination of static context knowledge withthe dynamic data of the OOWM. Static context knowledge consists of either approved data or a priori domain knowledge modelled by experts (e.g., maritime territorial boundaries) and is persisted in a long-term storage like the Coalition Shared Data (CSD) server. In this article we provide a description of each system and highlight the benefits and drawbacks of each. Furthermore, a combination of dynamic OOWM data with context knowledge stored in the CSD server is suggested as we state that combining OOWM and CSD data will improve SA services and context knowledge likewise.