Paper
1 October 1990 Preference voting for sensor fusion
Gregory A. Baraghimian, Allen Klinger
Author Affiliations +
Abstract
This paper compares preference voting techniques for multi-sensor decision support. The domain we are concerned with is enabling integration of visual information from diverse kinds of sensors. We define conditions imposed by: a) multi-source information fusion tasks, and b) models of multi-source decision-making processes. The results are directed toward two key problems: a) facilitating group decisions via computer support, and b) selection of related items from an image data base. We describe three methods for combining multiple assessments of image content from different sources. Two of these make use of diversity of knowledge possessed by contributers to the group decision. We assume a heterogeneous voter pool (individuals or programs), and also different credibilities for their inputs to the group decision. We present simulation results for the three decision-making methods.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gregory A. Baraghimian and Allen Klinger "Preference voting for sensor fusion", Proc. SPIE 1306, Sensor Fusion III, (1 October 1990); https://doi.org/10.1117/12.21628
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Sensors

Image fusion

Image sensors

Sensor fusion

Information fusion

Sensor performance

Binary data

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