The paper introduces the application of adaptive weighting data fusion technology to realize the complementation for the function of two kinds of sensors.
应用自适应加权数据融合技术，实现两种传感器在功能上的互补。
The validity, accuracy and actual time of the algorithm for batched-estimation, self-adaptive weighting and variance-estimation are studied in multi-sensors data fusion.
研究了有关分批估计、自适应加权和方差估计算法在多传感器数据融合中的有效性、准确度和实时性。
The validity, accuracy and actual time of the algorithm for batched-estimation, self-adaptive weighting and variance-estimation are studied in multi-sensors data fusion.
本文应用了一种基于自适应加权数据融合的灰色优势分析方法对多传感器数据进行处理。
The validity, accuracy and actual time of the algorithm for batched-estimation, self-adaptive weighting and variance-estimation are studied in multi-sensors data fusion.
本文应用了一种基于自适应加权数据融合的灰色优势分析方法对多传感器数据进行处理。
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