基于轨迹图磁阻传感器车辆检测算法

Vehicle Detection Algorithm based on Locus Analysis of Magnetoresistive Sensor

采用磁阻传感器实现车辆车位占用状态的可靠、快速检测,至今没有得到很好地解决,单纯依靠阈值判断或者采用状态机检测的算法很难解决这一问题。现分析了当前的车辆检测算法,着重讨论传感器在车辆经过时输出曲线的特性。结合磁阻传感器的输出特性提出基于轨迹图分析的磁阻传感器车辆检测算法,该算法能很好的跟踪曲线特性并有利于信号曲线的处理。Matlab仿真证明了该算法的可行性和正确性。

Reliable and rapid test on the status of parking spaces through magnetoresistive sensor employed by vehicles is still on unsolved problem,also the algorithms soely relying on the threshold or adopting the state machine detection are hard to solve this problem.This paper analyzes the current vehicle detection algorithms,and discusses in detail the sensor output characteristic curve when the vehicle passes.And in combination with the output characteristics of magnetoresistive sensor,a vehicle detection algorithm based on locus analysis is proposed,which could well trace the curve properties and is beneficial to the processing of signal curve.Matlab simulation proves the feasibility and correctness of the proposed algorithm.