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Proceedings Paper

Multisensor data fusion for obstacle tracking using neuro-fuzzy estimation algorithms
Author(s): Rory S. Doyle; Chris J. Harris
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Paper Abstract

The problem addressed in this paper is that of estimating the tracks of dynamic obstacles in the environment of a helicopter operating in hazardous conditions. Fuzzy logic and neural networks have shown their strength in recent years in the solutions to non-linear problems. The aim of this paper is to present neuro-fuzzy data fusion algorithms which can be used to fuse information provided by multiple spatially separate sensors engaged in the tracking of obstacles whose dynamics are a priori unknown.

Paper Details

Date Published: 22 June 1994
PDF: 12 pages
Proc. SPIE 2233, Sensor Fusion and Aerospace Applications II, (22 June 1994); doi: 10.1117/12.179031
Show Author Affiliations
Rory S. Doyle, Univ. of Southampton (United Kingdom)
Chris J. Harris, Univ. of Southampton (United Kingdom)

Published in SPIE Proceedings Vol. 2233:
Sensor Fusion and Aerospace Applications II
Nagaraj Nandhakumar, Editor(s)

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