基于激光信息和射频识别的运动轨迹跟踪研究

为提高运动轨迹跟踪精度,设计了基于激光信息和射频识别的运动轨迹跟踪方法,首先将射频识别阅读器与激光传感器采集数据进行速度估算处理,并利用加权因子对激光传感器估算速度进行平滑处理,然后通过相似度对比方法匹配激光传感器与射频识别阅读器获取的运动目标速度,采用粒子滤波算法融合激光传感器与射频传感器获取的运动目标速度,通过粒子滤波的预测、更新与重采样三个阶段实现准确的运动目标轨迹跟踪,最后实验结果表明,该方法对目标的运动轨迹跟踪精确度高达99%。

Research on tracking motion trajectory based on laser information and radio frequency recognition

In order to improve the accuracy of trajectory tracking,a trajectory tracking method based on laser information and radio frequency identification is designed. Firstly,the data collected by radio frequency identification reader and laser sensor are processed for speed estimation,and the estimated speed of laser sensor is smoothed by using weighting factor. Then,the laser sensor and radio frequency identification are matched by similarity comparison method. The velocity of moving target acquired by reader is fused with the velocity of moving target acquired by laser sensor and radio frequency sensor by particle filter algorithm. Accurate trajectory tracking of moving target is achieved through three stages of prediction,update and resampling of particle filter. Finally,the experimental results show that the accuracy of the method is as high as 99%.