Share Email Print

Proceedings Paper

Multisensor data fusion for obstacle tracking using neuro-fuzzy estimation algorithms
Author(s): Rory S. Doyle; Chris J. Harris
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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)

© SPIE. Terms of Use
Back to Top