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Multisensor data fusion for obstacle tracking using neuro-fuzzy estimation algorithms

机译:利用神经模糊估计算法进行障碍物跟踪的多传感器数据融合

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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.!15
机译:摘要:本文解决的问题是估算在危险条件下运行的直升机环境中动态障碍物的轨迹。模糊逻辑和神经网络近年来在解决非线性问题中表现出了优势。本文的目的是提出一种神经模糊数据融合算法,该算法可用于融合由多个空间分离的传感器提供的信息,这些传感器参与了动态未知的障碍物的跟踪。15

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