基于体压分布检测和支持矢量机分类的汽车乘员坐姿识别

Occupant Position Recognition with Seat Surface Pressure Distributions and Support Vector Machines Classifier

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。

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.