Multisensor data fusion for obstacle tracking using neuro-fuzzy estimation algorithms
Rory S. Doyle, Chris J. Harris · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994
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.