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Embedded real-time classifier for profiling sensors and custom detector configuration

机译:嵌入式实时分类器,用于对传感器进行配置和自定义检测器配置

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A profiling sensor has been realized using a vertical column of sparse detectors with the sensor's optical axis configured perpendicular to the plane of the vertical column of detectors. Traditionally, detectors of the profiling sensor are placed in a sparse vertical column configuration. A subset of the detectors may be removed from the vertical column and placed at arbitrary locations along the anticipated path of the objects of interest, forming a custom detector array configuration. Objects passing through the profiling sensor's field of view have traditionally been classified via algorithms processed off-line. However, reconstruction of the object profile is impossible unless the detectors are placed at a known location relative to each other. Measuring these detector locations relative to each other can be particularly time consuming, making this process impractical for custom detector configuration in the field. This paper describes a method that can be used to determine a detector's relative location to other detectors by passing a known profile through the sensor's field of view as part of the configuration process. Real-time classification results produced by the embedded controller for a variety of objects of interest are also described in the paper
机译:已经使用垂直列的稀疏检测器实现了轮廓传感器,该传感器的光轴配置为垂直于检测器的垂直列的平面。传统上,轮廓传感器的检测器以稀疏的垂直列配置放置。可以从垂直列中移除检测器的子集,并将其放置在沿感兴趣对象的预期路径的任意位置,从而形成自定义检测器阵列配置。传统上,通过轮廓传感器通过视场的对象是通过离线处理的算法进行分类的。但是,除非将检测器放置在相对于彼此的已知位置,否则无法重建对象轮廓。测量这些检测器相对于彼此的位置可能特别耗时,这使得该过程对于现场定制检测器配置不切实际。本文介绍了一种方法,该方法可通过将已知轮廓通过传感器的视场作为配置过程的一部分来确定检测器与其他检测器的相对位置。论文还描述了嵌入式控制器针对各种感兴趣的对象产生的实时分类结果。

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