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Proceedings Paper

Automated metrics assessment system for track fusion
Author(s): William J. Farrell; Claire L. McCullough; Robert Canavan
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Paper 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.

Paper Details

Date Published: 11 May 2009
PDF: 9 pages
Proc. SPIE 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII, 733609 (11 May 2009); doi: 10.1117/12.818728
Show Author Affiliations
William J. Farrell, Adaptive Methods, Inc. (United States)
Claire L. McCullough, The Univ. of Tennessee at Chattanooga (United States)
Robert Canavan, The Univ. of Tennessee at Chattanooga (United States)


Published in SPIE Proceedings Vol. 7336:
Signal Processing, Sensor Fusion, and Target Recognition XVIII
Ivan Kadar, Editor(s)

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