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本文介绍了运用激光传感器的感应原理及一系列数学推导,最终实现监控车辆在车道上的流量。该模型能反映出每条道路通过的主要车型,这样更方便于管理与监控。首先按照车的规格分为五种不同车型,然后将数据进行excel拟合可以将数据描绘成一条光滑曲线,根据每个点到曲线的距离来判断这个点是否为错误点。若是,则忽略不计该点,重新选择另一点。若不是,可通过曲线一次导数为零确定出车轮距激光传感器的杆的距离,从而确定来自哪条车道。再通过二次导数的最大值,确定出车辆的高度,从而确定车型。
This article describes the use of laser sensor sensing principle and a series of mathematical derivation, and ultimately to monitor the vehicle traffic in the lane. The model can reflect the main models passed by each road, which is more convenient for management and monitoring. First of all, according to the car’s specifications are divided into five different models, and then the data will fit the data can be drawn as a smooth curve, according to the distance from each point to the curve to determine whether this point is the wrong point. If so, then ignore the point, select another point. If not, determine which lane from the lane by determining the distance of the wheel from the laser sensor rod by zeroing the first derivative of the curve. Then through the second derivative of the maximum value to determine the height of the vehicle to determine the model.