首页> 外文会议>International Symposium on Neural Networks pt.1; 20040819-20040821; Dalian; CN >Occupant Classification for Smart Airbag Using Stereovision and Support Vector Machines
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Occupant Classification for Smart Airbag Using Stereovision and Support Vector Machines

机译:使用立体视觉和支持向量机的智能安全气囊乘员分类

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Airbag in the cars plays an important role for the safety of occupants. However, Highway Traffic Safety report shows that many occupants are actually killed by wrong deployment of the airbags. For reducing risk caused by air-bag, designing a smart airbag is an important issue. The present paper describes an occupant classification system, by which triggering of the airbag deployment can be controlled. The system consists of a pair of stereo cameras and a S VM classifier. Performance of the system shows its feasibility as a vision-based air-bag controller.
机译:汽车中的安全气囊对于乘员的安全起着重要作用。但是,高速公路交通安全报告显示,许多人实际上是由于安全气囊的错误部署而丧生的。为了降低安全气囊造成的风险,设计智能安全气囊是重要的问题。本文描述了一种乘员分类系统,通过该系统可以控制安全气囊展开的触发。该系统由一对立体摄像机和一个S VM分类器组成。该系统的性能显示了其作为基于视觉的安全气囊控制器的可行性。

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