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A Vehicle Vehicle Recognition Method Based on Support Vector Machine on Geomagnetic Sensor

A support vector machine, geomagnetic induction technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as good data, lack of accurate, efficient and systematic vehicle identification methods, and inability to provide quality for traffic systems. , to achieve the effect of improving efficiency and high reliability

Inactive Publication Date: 2014-10-22
TONGJI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a vehicle type identification method based on a support vector machine on a geomagnetic sensor, which is used to solve the current lack of an accurate, efficient and systematic vehicle type identification method, and cannot provide good-quality data for the traffic system.

Method used

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  • A Vehicle Vehicle Recognition Method Based on Support Vector Machine on Geomagnetic Sensor
  • A Vehicle Vehicle Recognition Method Based on Support Vector Machine on Geomagnetic Sensor
  • A Vehicle Vehicle Recognition Method Based on Support Vector Machine on Geomagnetic Sensor

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Embodiment 1

[0038] Embodiment 1: The present invention relates to a kind of car classification recognition method based on clustering support vector machine in the single-point type geomagnetic detector, and specific process is as follows figure 1 shown. It can be roughly divided into 5 main steps:

[0039] The first step is to determine the coverage and classification mode of the classified models.

[0040] After determining the vehicle type or vehicle type combination that needs to be classified, the waveform data of the corresponding vehicle type must be collected through a single-point geomagnetic detection device.

[0041] Binary tree is selected as the classification mode of various models, such as Figure 4 As shown, that is, each classification node obtains the corresponding optimal feature combination through the feature selection method, and then learns the second-class car model samples and establishes a cluster support vector machine (C-SVM) classifier to classify the second...

Embodiment 2

[0074] (1) Determine the classified vehicle type and collect and process the data

[0075]A single-point geomagnetic detector was used to collect geomagnetic waveform samples of various vehicle types in the urban roads on the outer lanes of the south-to-north direction of the section under the inner ring elevated line (near Wuyi Road), and the geomagnetic waveform samples of various types of vehicles in the urban roads were collected. The classification of the three types of vehicles, the effectiveness of the samples were screened, and a total of 430 waveform samples of normal and undisturbed vehicle types were selected, including 360 small and medium-sized vehicles, 69 buses, and 1 large truck. An independent sample bank was established, that is, an additional 30 large truck samples were collected.

[0076] (2) Feature extraction and selection

[0077] Take the establishment of classifiers for small and medium-sized cars and large cars as an example to illustrate.

[0078] ...

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Abstract

The invention relates to a vehicle type identification method based on a support vector machine and used for an earth inductor. The vehicle type identification method includes the following steps: vehicle type waveform data which require to be identified are collected by the earth inductor; a plurality of numeralization features are extracted from waveforms, effective data are screened out, and the features are normalized; multilayer feature selection is performed according to the extracted features, and an optimal feature combination is picked out; a vehicle type classification algorithm based on the clustering support vector machine is built, and parameters in a classification function are optimized by adopting a particle swarm optimization algorithm; a binary tree classification mode is built, classifiers on all classification nodes are trained, and a complete classification decision tree is built; and earth induction waveforms of a vehicle type to be identified are input to obtain identification results of the vehicle type. The vehicle type identification method builds a waveform feature extraction and selection mode, simultaneously adopts the classification algorithm based on the support vector machine and the particle swarm optimization algorithm, greatly improves machine learning efficiency, and enables a machine to identify vehicle types rapidly and accurately.

Description

technical field [0001] The invention belongs to the technical field of automatic information collection for intelligent traffic monitoring and management, and in particular relates to a vehicle identification method based on a support vector machine on a geomagnetic sensor. Background technique [0002] Vehicle detection and recognition technology is one of the key technologies of intelligent transportation system research. It provides necessary information sources for intelligent transportation systems, provides good conditions for the rapid development of intelligent transportation systems, and is the information basis for traffic monitoring and management. Vehicle identification technology has become an important link in many traffic systems. At present, a more accurate and efficient vehicle identification method is urgently needed in the application. [0003] As the infrastructure of intelligent traffic information collection, the performance of vehicle detector directly...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G08G1/017G08G1/042
Inventor 杜豫川何尧陈韬孙立军
Owner TONGJI UNIV
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