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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.
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 safety of automotive anti-collision system.
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基本信息:
中图分类号:U463.6
引用信息:
[1]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],2011,43(03):99-102.
基金信息:
河南省创新人才杰出青年计划项目,编号084100410009