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TOLL OBJECT DETECTION IN A GNSS SYSTEM USING PARTICLE FILTER

机译:使用粒子滤波器的GNSS系统中的对象检测

摘要

A Particle filter, also known as Sequential Monte Carlo Method, is used to estimate vehicle position based on GNSS pseudo range measurements and other sensors. The particle filter creates an ensemble of particles and road user charging (road tolling) can be performed on each particle. The resulting distribution of assessed vehicle passages may be analysed to assess if the event actually took place or not. The use of Particle filter overcomes limitations occurring while employing more traditional Kalman filter based methods.
机译:基于GNSS伪距测量和其他传感器,粒子过滤器(也称为顺序蒙特卡洛方法)用于估计车辆位置。粒子过滤器创建粒子集合,并且可以对每个粒子执行道路使用者收费(道路收费)。可以评估所评估的车辆通过的结果分布,以评估该事件是否实际发生。粒子滤波器的使用克服了在采用更传统的基于卡尔曼滤波器的方法时出现的局限性。

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