Fusion metrics for dynamic situation analysis

Erik P. Blasch; Mike Pribilski; Bryan Daughtery; Brian Roscoe; Josh Gunsett

doi:10.1117/12.542902

9 August 2004 Fusion metrics for dynamic situation analysis

Erik P. Blasch, Mike Pribilski, Bryan Daughtery, Brian Roscoe, Josh Gunsett

Proceedings Volume 5429, Signal Processing, Sensor Fusion, and Target Recognition XIII; (2004) https://doi.org/10.1117/12.542902
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

To design information fusion systems, it is important to develop metrics as part of a test and evaluation strategy. In many cases, fusion systems are designed to (1) meet a specific set of user information needs (IN), (2) continuously validate information pedigree and updates, and (3) maintain this performance under changing conditions. A fusion system’s performance is evaluated in many ways. However, developing a consistent set of metrics is important for standardization. For example, many track and identification metrics have been proposed for fusion analysis. To evaluate a complete fusion system performance, level 4 sensor management and level 5 user refinement metrics need to be developed simultaneously to determine whether or not the fusion system is meeting information needs. To describe fusion performance, the fusion community needs to agree on a minimum set of metrics for user assessment and algorithm comparison. We suggest that such a minimum set should include feasible metrics of accuracy, confidence, throughput, timeliness, and cost. These metrics can be computed as confidence (probability), accuracy (error), timeliness (delay), throughput (amount) and cost (dollars). In this paper, we explore an aggregate set of metrics for fusion evaluation and demonstrate with information need metrics for dynamic situation analysis.

Citation Download Citation

Erik P. Blasch, Mike Pribilski, Bryan Daughtery, Brian Roscoe, and Josh Gunsett "Fusion metrics for dynamic situation analysis", Proc. SPIE 5429, Signal Processing, Sensor Fusion, and Target Recognition XIII, (9 August 2004); https://doi.org/10.1117/12.542902

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