Abstract
The spike is an important link between the sleeper and the track. It plays a vital role in the quality of the railway and the safe operation of the train. At present, in railway engineering, the position of spike can be obtained by adjusting the parameters of magnetic sensor and repeated measurement tests. This method is simple but requires a large amount of labour cost, so this research attempts to make the “automatic guidance computer system” of the tamping vehicle automatically detect the distance from the iron rail nail according to the driving position of the tamping vehicle by using the BP neural network and the VGG19 neural network, thereby improving the maintenance rate of railway lines and reduced labour cost have laid the foundation for a grand blueprint for unmanned tamping vehicle.
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