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Development of Occupant Detection System Using Far-Infrared Ray (FIR) Camera

机译:远红外(FIR)摄像机乘员检测系统的开发

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摘要

In recent years, to reduce the risk of airbag-related injuries, smart airbag systems, which deploy airbags depending upon occupant position and crash information, are increasingly being developed. For occupant detection, various methods using weight/pressure sensors, ultrasonic sensors or image sensors, are proposed, but it is difficult to sense precisely a passenger's size and position. FIR cameras, which offer thermographic images, are useful for detection of the human body. The authors have developed low cost FIR cameras using polycrystalline sintered zinc sulfide (ZnS) lenses, which are based on Sumitomo Electric's material technology, and also developed an algorithm for detecting automobile occupants. In this paper, the authors present an overview of the newly developed FIR camera and the occupant detection algorithm.
机译:近年来,为了减少与安全气囊相关的伤害的风险,越来越多地开发了智能安全气囊系统,该系统根据乘员位置和碰撞信息来展开安全气囊。对于乘员检测,提出了使用重量/压力传感器,超声传感器或图像传感器的各种方法,但是难以精确地感测乘客的大小和位置。提供热成像图像的FIR相机可用于检测人体。作者基于住友电工的材料技术,开发了使用多晶烧结硫化锌(ZnS)透镜的低成本FIR相机,并开发了一种检测汽车乘员的算法。在本文中,作者概述了新开发的FIR摄像机和乘员检测算法。

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