Stereovision-based real-time occupant classification system for advanced airbag systems

被引：0
|
作者：
S.-J. Lee
M.-S. Jang
Y.-G. Kim
G.-T. Park
机构：
[1] R&D Center of HYUNDAI MOBIS Co.,Department of Computer Engineering
[2] Ltd,Department of Electrical Engineering
[3] Sejong University,undefined
[4] Korea University,undefined
来源：
International Journal of Automotive Technology | 2011年 / 12卷
关键词：
Advanced airbag; Occupant classification; Stereovision; Embedded DSP system;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Occupant classification in a passenger seat is one of the critical components for any advanced airbag system. Many automotive electronic suppliers and engineers predict that the camera will be the next generation sensor for active and passive safety systems because it has several advantages compared to other sensors. The present paper describes a stereovision-based occupant classification system (OCS) and intelligent algorithm with embedded system by which triggering of the airbag deployment can be controlled. The system consists of a pair of stereo cameras and dual Digital Signal Processor (DSP): the first DSP is for the stereo matching processing, and the second is for occupant classification. The results show that the reaches 97%, and the processing time is 960 ms. Such performance indicates that the feasibility of the system as an embedded OCS is high.
引用
收藏
页码：425 / 432
页数：7
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