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A new method for range estimation using simple infrared sensors

机译:使用简单红外传感器进行距离估算的新方法

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摘要

We describe a new method for position estimation of planar surfaces using simple, low-cost infrared (IR) sensors. The intensity data acquired with IR sensors depends highly on the surface properties and the configuration of the sensors with respect to the surface. Therefore, in many related studies, either the properties of the surface are determined first or certain assumptions about the surface are made to estimate the distance and the orientation of the surface relative to the sensors. We propose a novel method for position estimation of surfaces with IR sensors without the need to determine the surface properties first. The method is considered to be independent of the type of surface encountered since it is based on searching the position of the maximum value of the intensity data rather than using absolute intensity values. The method is verified experimentally with planar surfaces of different surface properties. An intelligent feature of our system is that its operating range is made adaptive based on the maximum intensity of the detected signal. The absolute mean range error for the method resulting in the lowest errors is 0.15 cm over the range from 10 to 50 cm. The cases where the azimuth and elevation angles are nonzero are considered as well. The results obtained demonstrate that IR sensors can be used for localization to an unexpectedly high accuracy without prior knowledge of the surface characteristics.
机译:我们描述了一种使用简单,低成本红外(IR)传感器的平面估计的新方法。使用IR传感器获取的强度数据在高度上依赖于表面特性和相对于表面的传感器的配置。因此,在许多相关研究中,将表面的特性或围绕表面的某些假设确定为估计表面相对于传感器的距离和方向。我们提出了一种新的方法,用于使用IR传感器的表面估计,而无需先确定表面特性。该方法被认为与遇到的表面类型无关,因为它基于搜索强度数据的最大值的位置而不是使用绝对强度值。该方法通过不同表面特性的平面表面进行实验验证。我们系统的智能特征是其操作范围是基于检测到的最大信号的自适应。该方法的绝对平均范围误差导致最低误差为0.15厘米,范围为10至50厘米。方位和高度角度的情况也被认为是非零。所获得的结果表明,IR传感器可用于本地化以出乎意料地高精度而无需先验知识的表面特性。

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