FIELD: computer technology.
SUBSTANCE: invention relates to the field of computer technology for determining the location of trains in tunnels based on meteorological parameters. To do this, a method has been declared containing: obtaining the meteorological parameters of the tunnel; classification of the obtained meteorological parameters of the tunnel; creating a library of HSV color space templates of a typical sequence by using classified meteorological parameters of the tunnel; training the HSV color space template library of a typical sequence; training the HSV pattern matching model; training the RVM recognition model; creating a model of combining the HSV pattern matching model and RVM recognition model to obtain a model of combining the prediction of the path in miles of the tunnel; getting input data and calling the model of combining the prediction of the path in tunnel miles to predict the position of the train.
EFFECT: increase in the accuracy of determining the location of a high-speed train in the navigation blind spot based on meteorological parameters.
10 cl, 4 dwg
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Authors
Dates
2022-05-05—Published
2020-07-22—Filed