A Detection Algorithm of Parking Occupancy via Geomagnetic Field Based on Vector Operation and Multilevel Threshold
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摘要: 检测算法解决了现有地磁车位检测中无法排除邻位停车干扰以及所选判断标准无法适应多种车型、停车应用场景的问题.检测算法分析磁偶极子模型,基于矢量运算提取目标车位停车过程产生的地磁扰动矢量,有效排除邻近车位停车过程对目标车位磁场的影响.通过收集大量真实停车产生的地磁扰动信息,统计分析地磁扰动的强度以及方向变化特征,合理选取多级阈值作为算法中车位占用检测的标准,保证检测算法适用于多种车型、停车应用场景.经过3个月实地应用测试,发现检测算法车位占用检测精度达到99.3%,优于强度或者方向单一特征判断算法,并能检测出停车是否规范.研究算法尚未应用于大型客车、货车以及特种车辆车位占用判断.Abstract: An algorithm is proposed to deal with the issues that the existing detection algorithms cannot exclude the interference of ortho parking spaces and the corresponding judgment criteria fail to accommodate multiple types of vehicles and parking scenarios.Based on the analysis of the magnetic dipole model, the geomagnetic disturbance vector of targeted parking space is extracted through a vector operation during parking process, which can effectively eliminate the negative impact on geomagnetic field caused by the parking process from the ortho parking spaces.With a collection of large number of real geomagnetic disturbance data, the intensity of geomagnetic disturbances and characteristics of direction changes are statistically deduced and the multilevel thresholds are thus determined as the detection criterion, which ensures that the detection algorithm is suitable to various vehicle types and parking application scenarios.With a three-month field test, it is found that the detection precision of the proposed algorithm achieves 99.3%, superior to the algorithms with a single-feature using either pure intensity or certain direction.Moreover, the method could detect whether the parking is standard.The algorithm has not been applied to large passenger cars, trucks or special vehicles.
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