LS-SVM Based Human Recognition on Automotive Active Safety System

被引：0
|
作者：
Wang Duolin [1 ]
Qin Guihe [1 ]
Dong Jinnan [1 ]
Yuan Shuai [1 ]
机构：
[1] Jilin Univ, Coll Comp Sci & Technol, Changchun 130023, Peoples R China
来源：
MECHANICAL ENGINEERING AND TECHNOLOGY | 2012年 / 125卷
关键词：
Human Recognition; LS-SVM; Wavelet Transform; Active Safety System;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this article, a human recognition method, using wavelet transform and least square support vector machine (LS-SVM), is introduced. This had been performed in automotive active safety system. This method takes two-dimension discrete wavelet transform (2D-DWT) to do pretreatment, and extracts coefficients of correlation as eigen-coefficients, and then uses LS-SVM to search humanoid in certain area. The searching result will be presented to controller of a vehicle for making decision. A real vehicle experiment proves the validity of proposed method.
引用
收藏
页码：75 / 80
页数：6
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