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Robust Static Vehicle Detection Method Based on the Fusion of GPS SNR and Magnetic Signal

机译：基于GPS SNR和磁信号融合的鲁棒静态车辆检测方法

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摘要

The wireless vehicle detectors (WVDs) based on the magnetic sensor for outdoor parking spaces have been studied in many papers. However, the magnetic signal has a blind zone between the front and rear wheels of vehicles, thus it is difficult for the WVDs to judge whether the magnetic signal is affected by the vehicle on the current or adjacent parking space. This paper proposes a robust vehicle detection method, which combines the data feature of global positioning system (GPS) satellites' signal-to-noise ratios (SNRs) and magnetic signals to achieve vehicle detection. Since the high energy consumption of GPS receivers, the reference background of GPS-based method is calculated in the wireless access point (WAP), and the WVDs spend no energy on the background calculation in the proposed method. Moreover, the GPS receiver is activated to assist in the vehicle detection, when the data feature of magnetic signals is insufficient for the WVDs to make an accurate decision on the vehicle status, which improves the vehicle detection accuracy and reduces the average energy consumption of WVDs. Experiments show that the vehicle detection accuracy of our proposed method is up to 99.83%, when the sampling rate of magnetic sensor is 1 Hz, and it has a strong practical significance for the battery-powered WVDs.
机译：许多论文都研究了基于磁传感器的室外车位无线车辆检测器（WVD）。然而，磁信号在车辆的前轮和后轮之间具有盲区，因此对于WVD而言，很难判断磁信号是否受到当前或相邻停车位上的车辆的影响。本文提出了一种鲁棒的车辆检测方法，该方法结合了全球定位系统（GPS）卫星信噪比（SNR）和磁信号的数据特征来实现车辆检测。由于GPS接收器能耗高，因此在无线接入点（WAP）中计算基于GPS的方法的参考背景，而WVD在本方法中不花费任何精力进行背景计算。此外，当磁信号的数据特征不足以使WVD准确判断车辆状态时，将激活GPS接收器以辅助车辆检测，从而提高了车辆检测的准确性并降低了WVD的平均能耗。实验表明，当磁传感器的采样率为1 Hz时，该方法的车辆检测精度可达99.83％，对电池供电的WVD具有很强的现实意义。

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