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

页码：75 / 80

页数：6

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