Name
Abstract | ||
|---|---|---|
Every commander's dream is to have a graphic picture of the unfolding battlespace to show the locations and movements of all entities along with extra prompter information. The DoD command concepts have evolved to yield the common operational picture (COP) and four-stage hierarchy of information fusion. We explore an architecture for refining the fusion for building a more accurate picture. It uses a central processing center to fuse tracks from multiple tracking centers with a cognitive approach that associates local tracks with central tracks and refines estimates via our new fuzzy clustering algorithm. A refinement of target identification at the central tracker is based on the local track IDs, which resolves conflicting identities in the local tracks of the same target. Situation assessment (SA) and force threat assessment (TA) are approached using our fuzzy classifier with built-in fuzzy clustering, but these are not fully developed here due to their complexity. We also propose a dual distributed-centralized tracker that establishes central tracks with both fuzzy clustering and an adaptive α–β filter and fuses the resulting tracks. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1016/S1566-2535(01)00043-4 | Information Fusion |
Keywords | Field | DocType |
Fusion,Tracking,Situation picture,Threat assessment,Fuzzy clustering | Data mining,Fuzzy clustering,Common operational picture,Battlespace,Artificial intelligence,Hierarchy,Fuse (electrical),Computer vision,Architecture,Situation analysis,Threat assessment,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
2 | 4 | 1566-2535 |
Citations | PageRank | References |
10 | 1.25 | 2 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carl G. Looney | 1 | 198 | 21.58 |