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Kinematic correction for a spatial offset between sensor and position data in on-the-go sensor applications.

机译:在移动传感器应用中,对运动传感器和位置数据之间的空间偏移进行运动学校正。

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On-the-go data collection is the basis for many applications that require spatially referenced information at a sub-field scale. A spatial or temporal offset can occur between sensor and position measurements (mostly obtained with global navigation satellite systems such as the Global Positioning System, GPS), e.g. if the antenna of the navigation system cannot be placed on top of the sensor. To correct for such an offset, we present a kinematic model that accounts for the mechanisms underlying the offset. Our model considers a sensor on a cart or sledge towed by a drawing vehicle equipped with a positioning system. The model was applied to a soil electrical conductivity survey on a 135 ha site with over 100 000 measured positions. Application of the model halved a nugget effect in semivariograms, significantly (p<0.01) reduced prediction errors and thus substantially improved map quality. The model allows offset correction between sensors and a positioning system mounted independently on agricultural machinery, even retrospectively from the geometric configuration of the positioning system-sensor combination. Thus we propose the model for use in research and practical applications of sensor based mapping.Digital Object Identifier http://dx.doi.org/10.1016/j.compag.2012.02.021
机译:进行中的数据收集是许多应用程序的基础,这些应用程序需要在子域范围内使用空间参考信息。例如,在传感器和位置测量值之间可能会发生空间或时间偏移(大多数情况是通过全球导航卫星系统,例如全球定位系统,GPS)获得的。如果导航系统的天线不能放在传感器的顶部。为了校正这种偏移,我们提出了一个运动学模型,该模型考虑了偏移的基础机制。我们的模型考虑了配有定位系统的牵引车拖曳的推车或雪橇上的传感器。将该模型应用于在135公顷土地上的土壤电导率调查,测量位置超过100000。该模型的应用使半变异函数的块金效应减半,显着( p <0.01)减少了预测误差,从而大大提高了地图质量。该模型允许传感器与独立安装在农业机械上的定位系统之间进行偏移校正,甚至可以追溯定位系统-传感器组合的几何构造。因此,我们提出了该模型,供在基于传感器的映射的研究和实际应用中使用。数字对象标识符http://dx.doi.org/10.1016/j.compag.2012.02.021

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