A generic sensor fusion architecture for enhancing situational awareness

The advancements of mobile technology and its widespread availability have redefined many computing paradigms including Human-centric sensing. Human-centric sensing has already been successfully implemented as integrated network architecture component in many operational intelligent systems in various industry areas such as defense, healthcare, energy or disaster management. The process of integration of Human-centric sensing into the system can be lengthy and complicated because of disparate data formats, modality and connectivity interfaces. Extending an existing system by new, and possibly future, sensors may result in low-level integration issues. There is a need for a generic architecture that will be able to dynamically accommodate new sensors and to provide fusion of all sensed data. In this paper, we extend our previous work of developing an architecture that supports seamless integration and development of platforms to enhance situational awareness in the context of Human-centric sensing.