首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于联合卡尔曼滤波的汽车防碰撞多传感器信息融合方法
引用本文:孔金生,张西雅,崔盈慧.基于联合卡尔曼滤波的汽车防碰撞多传感器信息融合方法[J].郑州大学学报(理学版),2011(3).
作者姓名:孔金生  张西雅  崔盈慧
作者单位:郑州大学电气工程学院;
基金项目:河南省创新人才杰出青年计划项目,编号084100410009
摘    要:车辆行驶信息感知是汽车防碰撞系统的关键技术之一,只用单一传感器对目标车辆进行测量容易产生虚警.在对联合卡尔曼滤波分析的基础上,给出了基于联合卡尔曼滤波的汽车防碰撞多传感器信息融合方法.计算机仿真结果表明,该算法可以得到较精确的融合数据,对于增强汽车防碰撞系统的安全性具有重要意义.

关 键 词:联合卡尔曼滤波  汽车防碰撞  信息融合  

Multi-sensor Information Fusion Algorithm in Automotive Anti-collision System Based on Federated Kalman Filter
KONG Jin-sheng,ZHANG Xi-ya,CUI Ying-hui.Multi-sensor Information Fusion Algorithm in Automotive Anti-collision System Based on Federated Kalman Filter[J].Journal of Zhengzhou University:Natural Science Edition,2011(3).
Authors:KONG Jin-sheng  ZHANG Xi-ya  CUI Ying-hui
Institution:KONG Jin-sheng,ZHANG Xi-ya,CUI Ying-hui(School of Electrical Engineering,Zhengzhou University,Zhengzhou 450001,China)
Abstract:The perception of vehicle running information was one of the key technologies in automotive anti-collision system.And it was easy to cause false alter when using the single sensor measured the aim vehicle.The multi-sensor information fusion algorithm based on federated Kalman filter was introduced and applied to solve the multi-sensor information fusion problem in automotive anti-collision system.The simulation results showed that the federated Kalman filter can receive accurate fusion data and enhance the ...
Keywords:federated Kalman filter  automotive anti-collision  information fusion  
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号