智能空间内车辆行驶状态信息融合试验分析

Experiment and Analysis of Vehicle Driving State Information Fusion in Intelligent Space

采用分布式传感器信息融合方法,进行空间内车辆行驶状态信息感知。利用空间内固定摄像头和地感线圈获取车辆行驶状态信息的检测方法,进行车辆行驶状态信息实车采集试验。对两种传感器采集的车辆行驶状态信息检测结果进行融合,并分析了融合结果的检测精度。研究结果表明:该融合方法的检测精度较固定摄像头提高了5%,有效降低了各传感器检测信息的不确定性,提高了智能空间内车辆行驶状态信息的检测精度。

The vehicle driving state information was detected by using distributed multi-sensor information fusion. Vehicle driving state detection method with fixed cameras and magnetic induction loops in intelligent space was studied. Data acquisition experiment of vehicle driving state information was carried out by using theproposed methods. Then the acquired vehicle driving state information of these two kinds of sensors was fused,and the detection precision of the fusion result was analyzed. The results show that the accuracy of this fusion method is 5% higher than the fixed cameras. The information fusion can reduce the uncertainty of each sensor effectively and improve the detection accuracy of the vehicle driving state information in intelligent space.