基于驾驶行为的汽车主动安全技术研究

Research on Automotive Active Safety Technology Based on Driving Behavior

研究了基于驾驶员行为判断的汽车主动安全控制技术。利用车辆现有各种传感器信号,使用ARM处理器采集驾驶过程中的各种操作信号,并通过CCD获取车辆行驶环境状况,综合进行驾驶员的危险驾驶行为预测,进而进行主动危险行为告警。考虑到一种驾驶行为由多种操作组成,采用了决定正常驾驶行为的八种信号进行权重运算,建立了驾驶行为预测权重矩阵。仿真实验结果表明该方法切实可行,可以准确地判断和识别出典型的驾驶行为,为未来汽车主动安全技术的研究提供了一种有效的方法。

The paper advanced the researches of active automotive safety technology based on driv-ing behavior,the vehicle active safety control system adopted all the various sensor signals of vehicle,those signals were gathered by ARM processor,and the circumstance signals were gathered by CCDsensors,the control system introduced the signals of vehicle and circumstance signals to forecast dan-gerous driving behavior based on driving behavior model,and given away dangerous warn.On accountof a driving behavior composed of all kinds of driving operations,the paper adopted weight decisionmatrix to deal with all the signals,and seted up driving behavior forecasting weight decision matrix.Test shows the method put forward by the paper can decide the typical driving behavior,and offers an effective method for researching automotive active safety technology.