CAJ | 학술논문

车辆乘员坐姿的准确检测是智能安全气囊系统实现的前提条件之一,其识别算法的实时性和准确性对于在碰撞发生时安全气囊的起爆时间和充气强度的控制起着决定性作用.通过对不同类型乘员在不同坐姿下体压分布信息的精确分析,采用模式识别中的支持矢量机方法,建立一种单纯依靠压力分布传感器量测到的乘员体压分布信息实现不同乘员坐姿分类的识别算法,并通过对试验采集到的不同类型乘员在不同坐姿下的样本对识别算法进行训练和测试,验证算法的有效性和正确率.
차량승원좌자적준학검측시지능안전기낭계통실현적전제조건지일,기식별산법적실시성화준학성대우재팽당발생시안전기낭적기폭시간화충기강도적공제기착결정성작용.통과대불동류형승원재불동좌자하체압분포신식적정학분석,채용모식식별중적지지시량궤방법,건립일충단순의고압력분포전감기량측도적승원체압분포신식실현불동승원좌자분류적식별산법,병통과대시험채집도적불동류형승원재불동좌자하적양본대식별산법진행훈련화측시,험증산법적유효성화정학솔.
In the intelligent airbag system, the detection accuracy of occupant position is the precondition and plays a vital role in controlling airbag detonation time and inflation strength during the crash. Through accurately analyzing the seat surface pressure distributions of different occupant sitting position and types, an occupant position recognition algorithm which purely uses occupant pressure distribution information measured by seat pressure sensors is presented with the method of support vector machine. The distribution samples with different occupant sitting positions and types are used to train and test the recognition algorithm, thus verifying its validity and accuracy.