Information Fusion for Command and Control: From Data to Actionable Knowledge and Decision
Abstract
Information must be sorted out and fused not only to allow commanders to make situation assessments, but also to support the generation of hypotheses about enemy force disposition and enemy intent. Current information fusion technology has two notable limitations. First, current approaches do not consider the battlefield context as a first class entity and therefore have great difficulty in making sense out of entities once they have been identified. Second, there are no integrated and implemented models of this high level fusion process. Our research has focused on the problems of developing integrated techniques for high level (levels 2, 3, and 4) information fusion and the tools and methods needed to evaluate them. Our work can roughly be divided into techniques for integrating diverse sensors and recognizing aggregated forces (level 2 fusion), methods for analyzing context in order to infer intent (level 3 fusion), methods for tasking assets or assisting humans to acquire new information (level 4 fusion), and efforts to develop simulation tools and environments needed to conduct the research. In this report we present a very brief summary of our work in each of these areas accompanied by reprints of papers presenting the research in detail.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 05, 2007
- Accession Number
- ADA470162
Entities
People
- Ahmet Eskicioglu
Organizations
- City University of New York