基于嵌入式的多传感器异类交通信息融合模型研究

Research on the Multi-sensor Fusion Model of Heterogeneous Traffic Information for the Embedded System

采用多无线传感器获取异类交通信息的实时数据,提出了基于联合卡尔曼滤波器理论的交通信息融合模型.在其融合模型中引入证明理论,提出基于证明理论的联合卡尔曼滤波器融合模型,并确定传感器感知节点间交通信息发布的方式.采用三星公司的S3C6410核心板对异类交通信息融合模型进行仿真实验,实验结果证明其模型的可行性和正确性.

The paper uses the multiple wireless sensors to sense the traffic information to improve the reliability and accuracy of the information transmission.Firstly it uses the multiple wireless sensors to obtain real-time data for the heterogeneous traffic,and proposes the fusion model of the traffic information based on the Kalman filter theory;secondly the D-S Evidence Theory is introduced in the fusion model,and the joint Kalman filter fusion model is proposed based on the D-S Evidence Theory;thirdly the traffic information dissemination way in the sensor nodes is determined;finally S3C6410 core plate of the Samsung Corp is used to simulate the heterogeneous traffic information fusion model.The experimental results prove the feasibility and correctness of this model.