A multi-logic framework for multi-level fusion in real time data fusion applications

This paper presents a framework called Real Time Multi Logic Reasoner (RT-MLR) to perform high level data fusion. RT-MLR reconciles the development of Knowledge Based Systems (KBS) with the object-oriented architectures and on-line real-time monitoring requirements. This framework has been implemented with an inference engine that supports a data driven approach and knowledge expressed in First-Order Logic, Fuzzy Logic and Temporal Logic. RT-MLR has been tested face on its capability to perform data fusions in a military application, using all kinds of logics implemented. Data fusions in different levels were made through rules that express relations between objects inside naval context scenarios. Simulated and actual data were used in validation process.