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Inner-Distance-Based Shape Recognition of Target Object Using Binary Sensors

机译:基于二元传感器的基于距离的目标物体形状识别

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摘要

We propose an algorithm for shape recognition of the target object using the notion of the inner distance. The inner distance of the object going across the field, where binary sensors are densely deployed, are obtained from the distance between two binary sensors concurrently detecting the object. To estimate the position of each binary sensor, we apply a range-free localization using a moving landmark, which wanders around the field of watch. We numerically study the accuracy of the shape recognition based on the inner distance when it is combinedly used with the range-free sensor localization based on the moving landmark.
机译:我们提出了一种使用内部距离概念对目标对象进行形状识别的算法。从同时检测物体的两个二进制传感器之间的距离获得跨越二进制传感器密集部署的物体的内部距离。为了估算每个二进制传感器的位置,我们使用移动的界标应用无范围定位,该界标徘徊在手表领域。我们将基于内部距离的形状识别的精度与基于移动地标的无范围传感器定位结合使用进行了数值研究。

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