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

Multi-Sensor Data Fusion for Obstacle Tracking using Neuro-Fuzzy Estimation Algorithms
Multi-Sensor Data Fusion for Obstacle Tracking using Neuro-Fuzzy Estimation Algorithms
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.
Doyle, R.
cf4a255f-0300-4104-9816-b783ec3e8fb1
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Doyle, R.
cf4a255f-0300-4104-9816-b783ec3e8fb1
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a

Doyle, R. and Harris, C.J. (1994) Multi-Sensor Data Fusion for Obstacle Tracking using Neuro-Fuzzy Estimation Algorithms. 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

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Date deposited: 04 May 1999
Last modified: 10 Dec 2021 20:07

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Contributors

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

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