Paper
28 March 2005 Evaluating algorithmic techniques in supporting situation awareness
John J. Salerno, Erik P. Blasch, Michael Hinman, Douglas M. Boulware
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Abstract
How well does an algorithm support its purpose and user base? Has automation provided the user with the ability to augment their production, quality or responsiveness? In a number of systems today these questions can be answered by either Measures of Performance (MOP) or Measures of Effectiveness (MOE). However, the fusion community has not yet developed sufficient measures and has only recently devoted a concerted effort to address this deficiency. In this paper, we will summarize work in metrics for the lower levels of fusion (object ID, tracking, etc) and discuss whether these same metrics still apply to the higher levels (Situation Awareness), or if other approaches are necessary. We conclude this paper with a set of future activities and direction.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John J. Salerno, Erik P. Blasch, Michael Hinman, and Douglas M. Boulware "Evaluating algorithmic techniques in supporting situation awareness", Proc. SPIE 5813, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2005, (28 March 2005); https://doi.org/10.1117/12.603825
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Cited by 54 scholarly publications.
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KEYWORDS
Data modeling

Sensors

Artillery

Computing systems

System identification

Systems modeling

Analytical research

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