The University of Southampton
University of Southampton Institutional Repository

Multi-Sensor Data Fusion for Helicopter Guidance using Neuro-Fuzzy Estimation Algorithms

Record type: Conference or Workshop Item (Other)

The purpose of this paper is to describe an approach that performs data fusion on the output of multiple spatially separate sensors engaged in the real time tracking of obstacles in a helicopter's environment. The generated information could be used either as a flight control pilot aid or as the feedback required by an autonomous aircraft. Obstacle track estimation has been commonly carried out using the Kalman Filter, a linear estimator, or one of its variations. The Extended Kalman Filter, one such variation designed for use on non-linear problems, produces the best linear approximation to the object track. However certain assumptions made in the derivation of these algorithms render them sub-optimal for aerial obstacle track estimation. Work produced by University of Southampton has highlighted a link between fuzzy networks and associative memory neural networks. This link is important as it allows new learning rules to be developed for training fuzzy rules, and the conditions under which convergence can be proved to be derived. This paper will explore methods for the fusion of estimates using these neurofuzzy models, and also address some of the weakness of the Kalman filter approximation introduced by the assumptions made in its derivation.

Full text not available from this repository.

Citation

Doyle, R. and Harris, C.J. (1995) Multi-Sensor Data Fusion for Helicopter Guidance using Neuro-Fuzzy Estimation Algorithms At The role of Intelligent Systems in Defence.

More information

Published date: 1995
Additional Information: Organisation: Royal Aeronautical Society Address: Oxford, UK
Venue - Dates: The role of Intelligent Systems in Defence, 1995-01-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 250263
URI: http://eprints.soton.ac.uk/id/eprint/250263
PURE UUID: ab7d231a-ce8e-4a88-8ab7-13ec2a746555

Catalogue record

Date deposited: 04 May 1999
Last modified: 18 Jul 2017 10:43

Export record

Contributors

Author: R. Doyle
Author: C.J. Harris

University divisions


Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×