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智能车辆是近年来发展起来的一门新兴综合技术 ,在军事、科研和工业中有广阔的应用前景。以电动小车为研究对象 ,分析了智能小车传感系统的各种特征值 ,包括智能小车的状态特征值和道路环境特征值 ,并建立了相应的坐标系。根据小车行驶的实际情况 ,设计了智能小车的多传感器系统 ,包括 :传感器的种类、数量以及在智能小车上的安装位置。重点讨论了多传感器数据融合结构和融合算法。智能小车多传感器的数据融合结构采用混合式 ,融合算法采用贝叶斯推理法。
Intelligent vehicles are an emerging integrated technology developed in recent years and have broad application prospect in military, scientific research and industry. Taking the electric trolley as the research object, various eigenvalues of the smart trolley sensing system are analyzed, including the state characteristic value and the road environment characteristic value of the smart trolley, and the corresponding coordinate system is established. According to the actual situation of the car driving, designed a smart car multi-sensor system, including: the type of sensor, the number and the installation location on the smart car. Focus on the multi-sensor data fusion structure and fusion algorithm. Intelligent car multi-sensor data fusion structure using hybrid, fusion algorithm using Bayesian inference.