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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。
Relying on the magnetoresistive sensor to realize the reliable and rapid detection of the occupancy state of the vehicle parking spaces has not been well solved so far. It is very difficult to solve this problem by relying solely on the threshold judgment or the algorithm of the state machine detection. Now analyze the current vehicle detection algorithm, focusing on the characteristics of the sensor output curve when the vehicle passes. A magnetoresistive sensor vehicle detection algorithm based on trajectory analysis is proposed based on the output characteristics of the magnetoresistive sensor. The algorithm can track the curve characteristics well and is beneficial to the signal curve processing. Matlab simulation proves the feasibility and correctness of the algorithm.