11 May 2009 Automated metrics assessment system for track fusion
Author Affiliations +
Proceedings Volume 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII; 733609 (2009); doi: 10.1117/12.818728
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
William J. Farrell, Claire L. McCullough, Robert Canavan, "Automated metrics assessment system for track fusion", Proc. SPIE 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII, 733609 (11 May 2009); doi: 10.1117/12.818728; https://doi.org/10.1117/12.818728

Data fusion

Optical tracking


Algorithm development





Multi volume mapping and tracking for real time RGB D...
Proceedings of SPIE (March 16 2015)
Visualization of graphical information fusion results
Proceedings of SPIE (June 20 2014)
A reusable robotic grasping creator
Proceedings of SPIE (May 07 2010)
Object aggregation using Neyman-Pearson analysis
Proceedings of SPIE (April 01 2003)
Fusion processor simulation (FPSim)
Proceedings of SPIE (July 17 1998)

Back to Top