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. Optical Engineering in Aerospace Sensing: Sensor Fusion and Aerospace Applications II

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Description/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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Organisation: SPIE Address: Orlando, FL
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
ePrint ID: 250262
Date Deposited: 04 May 1999
Last Modified: 27 Mar 2014 19:51
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/250262

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