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Multi-Sensor Data Fusion for Obstacle Tracking using Neuro-Fuzzy Estimation Algorithms

Doyle, R. and Harris, C.J. (1994) Multi-Sensor Data Fusion for Obstacle Tracking using Neuro-Fuzzy Estimation Algorithms At Optical Engineering in Aerospace Sensing: Sensor Fusion and Aerospace Applications II.

Record type: Conference or Workshop Item (Other)

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.

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More information

Published date: 1994
Additional Information: Organisation: SPIE Address: Orlando, FL
Venue - Dates: Optical Engineering in Aerospace Sensing: Sensor Fusion and Aerospace Applications II, 1994-01-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 250262
URI: http://eprints.soton.ac.uk/id/eprint/250262
PURE UUID: 98a33483-b434-44cb-8087-5f2e000b5c5d

Catalogue record

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

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Contributors

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

University divisions

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