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Dependable navigation in GPS denied environment: A multi-sensor fusion technique

机译:GPS拒绝环境中可靠的导航环境:多传感器融合技术

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This paper deals with finding a dependable navigation solution using multiple sensors mount and exploiting the available sensor's synergetic characteristics. We present two fusion techniques commonly known as centralized and decentralized and show that multisensor fusion is better option than individual sensors for reliable navigation. GPS, encoders are used as INS aiding sensors for which a sensor quality module is designed to get robust estimates at filter output. Experimental results are quite promising and cost effective compared with using high cost and bulky Span-SE system reference navigation unit, for achieving the comparable accuracy. Choice of multi-sensor aiding has benefit over single sensor. Our proposed navigation suit provides reliable accuracy for Unmanned Ground Vehicles (UGV) application in GPS denied environment, such as forest canopy and urban canyon.
机译:本文涉及使用多个传感器安装和利用可用传感器的协同特性来查找可靠的导航解决方案。我们提出了两个常规称为集中和分散的融合技术,并表明多传感器融合比单个传感器更好地选择,用于可靠导航。 GPS,编码器用作INS的辅助传感器,传感器质量模块旨在在滤波器输出处获得强大的估计。与使用高成本和庞大的SPAN-SE系统参考导航单元相比,实验结果非常有前途和成本效益,以实现可比的准确性。多传感器辅助的选择在单传感器上有利于单个传感器。我们所提出的导航套装为无人机地面车辆(UGV)在GPS拒绝环境中提供可靠的准确性,如森林冠层和城市峡谷等。

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