Automated metrics assessment system for track fusion

William J. Farrell III; Claire L. McCullough; Robert Canavan

doi:10.1117/12.818728

11 May 2009 Automated metrics assessment system for track fusion

William J. Farrell III, Claire L. McCullough, Robert Canavan

Proceedings Volume 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII; 733609 (2009) https://doi.org/10.1117/12.818728
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

Evaluating the effectiveness of fusion systems in a multi-sensor, multi-platform environment has historically been a tedious and time-consuming process. Typically it has been necessary to perform data collection and analysis in different code baselines, which requires error-prone data format conversions and manual spatial-temporal data registration. The Metrics Assessment System (MAS) has been developed to provide automated, real-time metrics calculation and display. MAS presents metrics in tables, graphs, and overlays within a tactical display. Comparative assessments are based on truth tracks, including position, velocity, and classification information. The system provides tabular history drill-down for each metric and each track. MAS, which is currently being evaluated on anti-submarine warfare scenarios, can be a valuable tool both in objective evaluation performance of tracking and fusion algorithms and in identifying asset and target interactions that cause the fused tracks to generate from the true ones.

Citation Download Citation

William J. Farrell III, Claire L. McCullough, and Robert Canavan "Automated metrics assessment system for track fusion", Proc. SPIE 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII, 733609 (11 May 2009); https://doi.org/10.1117/12.818728

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