车辆安全预警系统消除虚警、漏警的研究

摘要

针对目前车辆安全预警系统因价格高、系统复杂和虚警频繁等难以普及推广的现状，提出一种能够快速智能地识别出障碍物是实警还是虚警的新模型，以排除虚警对系统的干扰。该模型利用双CCD立体摄像头作为传感器，无论车辆直线行驶还是转弯行驶，根据车辆当前行驶状况，都能够提前预测车辆即将行驶的运动轨迹线，从而使检测到的不在轨迹线内的虚警障碍物得以排除，提高了系统的鲁棒性、安全性、智能性。通过 Matlab 对图像中障碍物进行虚警、实警的模拟仿真识别和判断，达到了预期要求。%Aiming at the current situation where it's difficult to promote and widely use the existing vehicle safety warning system due to its high price, complicated system, and frequent false-alarm, etc., the paper puts forward a new model which can rapidly and intelligently identify whether the barrier to be real -alarm or false-alarm, to eliminate the inter-ference of false-alarm to the system.With double CCD stereo camera as the sensor , the model can predict the motion trajec-tories in advance that vehicle is about to run according to the vehicles'current driving situations, for either straight driving or turning driving, so that the detected false-alarm barriers beyond the motion trajectories can be eliminated , which can improve the system robustness, safety and intelligence.Through simulated identification and judgment of real-alarm or false-alarm for barriers in the image of Matlab , the expected requirement is reached.