Paper
1 March 1990 Multiresolutional Sensor Fusion By Conductivity Analysis
H. E. Stephanou, A. M. Erkmen
Author Affiliations +
Proceedings Volume 1198, Sensor Fusion II: Human and Machine Strategies; (1990) https://doi.org/10.1117/12.969995
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States
Abstract
This paper describes an evidential pattern classifier for the combination of data from physically different sensors. We assume that the sensory evidence is multiresolutional, incomplete, imprecise, and possibly inconsistent. Our focus is on two types of sensory information patterns: visual and tactile. We develop a logical sensing scheme by using a model based representation of prototypical 3D surfaces. Each surface represents a class of topological patterns described by shape and curvature features. The sensory evidence is classified by using a conductivity measure to determine which prototypical surface best matches the evidence. A formal evidential model of uncertainty is used to derive logical sensors and provide performance measures for sensor integration algorithms.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
H. E. Stephanou and A. M. Erkmen "Multiresolutional Sensor Fusion By Conductivity Analysis", Proc. SPIE 1198, Sensor Fusion II: Human and Machine Strategies, (1 March 1990); https://doi.org/10.1117/12.969995
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KEYWORDS
Sensors

Fractal analysis

Prototyping

Sensor fusion

3D modeling

Feature extraction

Algorithm development

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