Abstract
On the basis of the time-variable signal generated by a geomagnetic sensor, a vehicle classification method based on the fusion of time domain and frequency domain features is presented. First, mutation value removal, weighted smoothing and cubic spline interpolation method are selected as a pretreatment. Then, FFT is adapted to obtain the frequency domain features. And vehicle classification based on frequency spectrum template matching method is proposed. Finally, this method is used in practice to verify its feasibility. Example analysis proves that the vehicle classification method can make full use of the frequency domain features of the signal waveform to realize vehicle reclassification. This method has finer classification and higher classification accuracy, so it can provide new idea and method for vehicle classification based on geomagnetic sensor.
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Acknowledgments
This work was supported by Beijing New-star Plan of Science and Technology (Z1211106002512027) and the National Science and Technology Pillar Program of China (2014BAG01B02).
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Tang, Y., Dong, H., Jia, L., Tang, J., Xia, X. (2016). The Research of Vehicle Classification Method Based on the Frequency Domain Features. In: Qin, Y., Jia, L., Feng, J., An, M., Diao, L. (eds) Proceedings of the 2015 International Conference on Electrical and Information Technologies for Rail Transportation. Lecture Notes in Electrical Engineering, vol 378. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49370-0_22
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DOI: https://doi.org/10.1007/978-3-662-49370-0_22
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