D-S证据理论在车辆几何参数动态测量中的应用

利用多个超声波传感器组成传感器阵列对行驶车辆的几何参数进行动态扫描,采用D-S证据理论多传感器数据融合算法,对多个传感器采集的数据进行融合,将在DSP上融合的结果上传至上位机,由上位机分析行驶车辆的车长、车宽、车高、车速,为交通管理提供技术保障和原始数据支撑。测试结果表明,该方法可以更准确的测量车辆几何参数。

Application of D-S evidence theory in dynamic measurement of vehicle geometry parameters

Sensor array with multi-ultrasonic sensors was used to scan the traveling vehicles' geometric parameter, and multi-sensor data fusion algorithm based on D-S evidence theory was proposed to process the information collected from sensor array. The fusion results from DSP were uploaded to the PC which analyzed traveling vehicles' length, width, height and speed, and the primary data and technical support were provided for traffic control. Experimental results show that the proposed method to measure vehicle's geometric parameters can achieve an accurate measurement.