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Comparison of structured light and stereovision sensors for new airbag generations

机译:新一代安全气囊的结构化光传感器和立体视觉传感器的比较

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摘要

Providing new generations of airbags with reliable information about the vehicle inner space occupancy in order to minimize inappropriate inflation is a real challenge. Within this paper two techniques to rebuilt the 3D cockpit scene, are presented; beside the well-known stereoscopic vision principles, 3D reconstruction based on matricial sensor combined with an infrared structured light emitter is described. From the 3D points acquired by these sensors a 3D description of the seat area is built, pertinent attributes are extracted, and using a previously learnt data base, the current seat situation is identified amongst the learnt situations (empty seat, baby seat in normal or rear position, occupant, ...). First promising results are depicted.
机译:为新一代安全气囊提供有关车辆内部空间占用的可靠信息,以最大程度地减少不适当的充气是一个真正的挑战。在本文中,提出了两种重建3D座舱场景的技术。除了众所周知的立体视觉原理,还描述了基于矩阵传感器与红外结构的发光体相结合的3D重建。从这些传感器获取的3D点建立座位区域的3D描述,提取相关属性,并使用先前学习的数据库在学习到的情况中标识当前的座位情况(空座位,正常或婴儿座位)。后排位置,乘员,...)。首先描述了有希望的结果。

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