Doyle, R. and Harris, C.J.
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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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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