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For the sampling frequency is different between the quality indexes and the auxiliary variables in the soft sensing training patterns, a new neural network soft sensing method based on the multi-resolution data fusion is presented in the paper. In the presented method, the neural network is trained based on the quality indexes and auxiliary variables with low sampling frequency first and the high...
A target selection method based on multi features fusion is proposed to improve the accuracy of target vehicle selection. The parameters consisting of the longitudinal distance, lateral distance, relative speed between objects and the host vehicle, the in-lane probability of objects are regarded as the features of individual vehicles. Firstly, some pre-processes of features data are carried out including...
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