【摘要】 针对传统方法对于电子不停车收费(ETC)跟车干扰与邻道干扰的解决效率低、成本高,并且分别处理的问题,提出一种基于信息融合的统一解决ETC干扰问题的方法。该方法以系统获得的车辆信息为已知信息,用车辆图像对应的图形特征对其进行验证,再通过D-S证据理论融合验证结果,判断待交易车辆是否为当前车辆。同时,改进了D-S证据使其在验证结果冲突时依然有效。实验结果表明,该方法能可靠地检查出非法车辆,对同时解决跟车干扰与邻道干扰切实有效。更多还原

【Abstract】 Traditional solutions deal with following-car interference and adjacent-lane interference in Electronic Toll Collection(ETC) system separately,and are of low efficiency and high cost.In order to solve this problem,a solution based on information fusion,which can deal with these two problems together,was proposed.This method used the vehicle information collected by an ETC system as known information and chose the features of the vehicle image to verify whether the vehicle information came from the car in question.Then D-S evidence theory was adopted to fuse the results of verification and make a final decision whether it was the right car to be charged.An improved method for D-S evidence theory was proposed to ensure its validity when the results of consistency verification conflicted with each other.The experimental results show that this method can highly reliably detect illegal vehicles and solve both following-car interference and adjacent lane interference problems in ETC system.更多还原