摘要
汽车座椅压力在采集和传输过程中会产生噪声,借助图像处理中局部平均法对压力分布数据进行预处理,消除了部分噪声。通过归一化处理,消除了不同体重乘员对后续识别的影响,有利于统一阈值,并且进一步消除了噪声的影响,提高了后续识别的运算速度,为座椅设计、乘员体征识别、坐姿识别,座椅舒适性研究提供了有力保障,为后续的实时控制奠定了基础。
There are many factors that may affect the measure accuracy, including the collection noise, transmission error. In this thesis, average filter algorithm for digital image processing was used for dealing with the pressure distribution date. The original data was scaled to the range by linearly scaling. So it was cleared up that different avoirdupois passengers influence the recognition result, and noise is cleared up more. Otherwise, it can boost the speed for recognition. It was propitious to seat designing, passengers body shape recognition, passengers sitting pose recognition and researching on seating comfort. And it is propitious to real time controlling.
出处
《汽车零部件》
2012年第2期83-84,87,共3页
Automobile Parts
关键词
座椅压力
平滑处理
归一化
Seat pressure
Image smoothing
Linearly scaling
