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Vibration sensor-based vehicle recognition method

A vibration sensor and vehicle identification technology, applied in the field of intelligent transportation and vehicle identification, can solve the problems of large influence of wind speed whistle, reduced accuracy, road damage, etc., and achieves the effect of high recognition rate and convenient installation.

Inactive Publication Date: 2018-06-22
ZHEJIANG UNIV
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Problems solved by technology

[0003] The installation and maintenance of the magnetic induction coil will cause great damage to the road, and it is easily damaged by large vehicles, and iron materials are also easily damaged by environmental factors
Video sensors are easy to install and reliable, but high-definition video cameras are expensive and easily affected by the environment, such as rain and fog, which will reduce the accuracy of detection
The microphone is easy to install and low in cost, but it is greatly affected by wind speed, Doppler, and whistle sound, and is easily damaged

Method used

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Embodiment Construction

[0026] The features of the present invention will become more apparent by describing the present invention in detail below in conjunction with the accompanying drawings. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

[0027] A kind of vehicle identification method based on vibration sensor provided by the present invention, comprises the following steps:

[0028] (1) Use the vibration sensor to collect the road surface vibration signal caused by the driving of the vehicle;

[0029] (2) Carry out empirical mode decomposition (Empirical Mode Decomposition, EMD) to the vibration signal collected in step (1), obtain a set of intrinsic mode functions (Intrinsic Mode Function, IMF);

[0030] (3) Multiply the intrinsic mode functions obtained in step (2) by different weights, and then sum to obtain a new signal, denoted as x new (t); ...

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Abstract

The invention discloses a vibration sensor-based vehicle recognition method, and aims at automatically recognizing vehicle types. The method comprises the following steps of: receiving a road surfacevibration signal caused by a vehicle by utilizing a vibration sensor; carrying out empirical mode decomposition on the acquired vibration signal to obtain a group of natural mode functions; multiplying the natural mode functions by different weights; summing the fixed mode functions to form a new signal; carrying out power spectrum analysis on the newly generated signal so as to obtain an MFCC feature vector; and training a BP neural network to obtain a new classifier for recognizing vehicle categories. The vehicle recognition method disclosed by the invention is strong in robustness and highin recognition rate, can be used for military vehicle classification and civil intelligent traffic systems, and has a broad prospect.

Description

technical field [0001] The invention relates to a vehicle identification method based on a vibration sensor, which can be used for vehicle detection and identification, and belongs to the field of intelligent transportation and vehicle identification. Background technique [0002] In the current traffic field, vehicle detection and recognition is the top priority. At present, there are mainly microphones, vibration sensors, magnetic induction coils, video sensors, etc. for vehicle detection and identification. [0003] The installation and maintenance of the magnetic induction coil will cause great damage to the road, and it is easily damaged by large vehicles, and iron materials are also easily damaged by environmental factors. Video sensors are easy to install and reliable, but high-definition video cameras are expensive and easily affected by the environment, such as rain and fog, which will reduce the accuracy of detection. The microphone is easy to install and low in ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/08
CPCG06N3/084G06F18/24G06F18/214
Inventor 靳国政瞿逢重叶彬吴叶舟
Owner ZHEJIANG UNIV
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