Generalized Information Fusion and Scheduling for Effective Situational Awareness

Funding: 2007: $78,755
2008: $80,500
2009: $82,500

Funding or Partner Organisation: Australian Research Council (ARC Discovery Projects)

Start year: 2007

Summary: The research proposes to take the significant first step to develop a consistent and unified method to manage and fuse uncertain information from human and non-human sources by drawing on the recent advances of the generalized theories of information & uncertainty. Due to the lack of a unified information fusion framework, automated uncertainty reasoning systems (such as Probability, Belief and Fuzzy inference) using sensor data ignore uncertain human and other partial information. The outcomes of this research will enable modern networked information systems consisting of heterogeneous information sources like sensors, knowledge data bases and human information to deal with open-ended and changing concepts and environments.

Keywords: Data and Information Fusion, Sensor Scheduling, Uncertainty Representation and Computation, Situational Awareness, Complex Systems, Divergence Measures,

FOR Codes: Computer Communications Networks, Optimisation, Information Systems Development Methodologies, Information processing services, Communication services not elsewhere classified, Application tools and system utilities, Information Processing Services (incl. Data Entry and Capture), Optimisation , Network engineering, Information systems development methodologies and practice, Information systems, technologies and services not elsewhere classified

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.