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Proceedings Paper

Comparison of techniques for disparate sensor fusion
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Paper Abstract

The use of multiple disparate sensors such as range and visible is commonplace on most modern robotic platforms. Combination of evidence techniques which include Bayesian and Dempster-Shafer can be used to resolve some of the ambiguity in sensor outputs for scene segmentation purposes. This paper compares various versions of the Dempster-Shafer formalism and a neural network model for integration of disparate sensor outputs.

Paper Details

Date Published: 1 April 1991
PDF: 7 pages
Proc. SPIE 1383, Sensor Fusion III: 3D Perception and Recognition, (1 April 1991); doi: 10.1117/12.25299
Show Author Affiliations
Terrance L. Huntsberger, Univ. of South Carolina (United States)

Published in SPIE Proceedings Vol. 1383:
Sensor Fusion III: 3D Perception and Recognition
Paul S. Schenker, Editor(s)

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