Parking space state detection method and system based on fusion filtering

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Parking space state detection method and system based on fusion filtering

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ZHANG HONGWEI / SUN SHIRONG / SUN TAO / RUAN PENG / ZHAO SHUYUN / XU HAOXIANG / WANG YUE / LIU ZI'ANG

The invention relates to the technical field of parking space state detection, in particular to a parking space state detection method and system based on fusion filtering. According to the invention, fusion filtering processing based on combination of wavelet denoising and Kalman filtering is carried out on the geomagnetic original signal of the geomagnetic sensor at the target parking space, the effect is better than that of traditional processing only using wavelet denoising, most external interference can be filtered out, a signal curve is smoother, and the method has better continuity. The data of the fusion filtering signal obtained through processing can be rapidly increased or decreased when the parking space state changes, and the sliding standard deviation sequence change amplitude calculated based on the fusion filtering signal can also be increased by an order of magnitude, so that the change condition of the magnetic field intensity can be better reflected; therefore, by performing threshold judgment based on the sliding standard deviation sequence, misjudgment and missed judgment caused by threshold selection can be effectively reduced. According to the invention, the problems of poor signal filtering processing effect and low detection accuracy in the existing method are solved.

本发明涉及停车位状态检测技术领域，更具体的，涉及一种基于融合滤波的停车位状态检测方法及系统。本发明对目标停车位处地磁传感器的地磁原始信号进行了基于小波去噪与卡尔曼滤波相结合的融合滤波处理，比传统的仅使用小波去噪处理效果更好，能够滤除的大部分外界干扰，信号曲线更加平滑，具有更好的连续性。本发明处理得到的融合滤波信号在车位状态发生变化时数据会快速增大或减小，并且基于融合滤波信号计算出的滑动标准差序列变化幅度还可以增大一个数量级，更加能够反映磁场强度变化情况，因此基于滑动标准差序列进行阈值判断可以有效降低阈值选取造成的误判、漏判。本发明解决现有方法中信号滤波处理效果不佳、检测准确率偏低的问题。

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Title :

Parking space state detection method and system based on fusion filtering

Additional title:

一种基于融合滤波的停车位状态检测方法及系统

Contributors:

ZHANG HONGWEI (author) / SUN SHIRONG (author) / SUN TAO (author) / RUAN PENG (author) / ZHAO SHUYUN (author) / XU HAOXIANG (author) / WANG YUE (author) / LIU ZI'ANG (author)

Publication date :

2024-05-03

Type of media :

Patent

Type of material :

Electronic Resource

Language :

Chinese

Classification :

IPC:

G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS