| 一种基于多传感器多目标跟踪数据的时间对准方法 |
| |
| 引用本文： | 李政,谭伟,马红江,杜营营,陆百川.一种基于多传感器多目标跟踪数据的时间对准方法[J].交通与计算机,2011,29(1):121-123. |
| |
| 作者姓名： | 李政 谭伟 马红江 杜营营 陆百川 |
| |
| 作者单位： | 重庆交通大学交通运输学院,重庆,400074 |
| |
| 摘 要： | 在智能交通系统应用中,常常需要利用多种传感器对不同的交通目标进行数据采集,经常遇到时间不同步、数据率不一致的问题。采用BP神经网络算法,提出了一种基于多传感器多目标数据的时间对准方法,较好地解决了多目标跟踪的基础问题,提高了数据融合效率,并通过仿真实验及与传统时间对准方法的比较给出了该方法的优点。
|
| 关 键 词： | BP神经网络 多传感器 时间对准 仿真 |
A Method of Data Time Registration in Multi-Sensor Multi-Target Tracking |
| |
| LI Zheng,TAN Wei,MA Hongjiang,DU Yingying,LU Baichuan.A Method of Data Time Registration in Multi-Sensor Multi-Target Tracking[J].Computer and Communications,2011,29(1):121-123. |
| |
| Authors: | LI Zheng TAN Wei MA Hongjiang DU Yingying LU Baichuan |
| |
| Institution: | (School of Traffic and Transportation,Chongqing Jiaotong University,Chongqing 400074,China) |
| |
| Abstract: | In the application of Intelligent Transportation System（ITS）,multiple sensors are often used to collect data from different traffic targets.Problems exist because times are not synchronized and data rates are not inconsistent.This paper uses BP neural network algorithm to present a new method of data time registration,which not only solves the basic problem in multi-sensor multi-target tracking but also improves the efficiency of data fusion.Simulation and comparisons with traditional methods have shown advantages of this method. |
| |
| Keywords: | BP neural network multi-sensor time alignment simulation |
| 本文献已被 维普 万方数据 等数据库收录！ |
|
