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Height Measurement in Seamless Indoor/Outdoor Infrastructure-Free Navigation

机译:无缝室内/室外基础设施中的高度测量-无需导航

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Using the barometer for height estimation often requires the use of external reference to correct biases in measurement. These biases are often caused by the change of the ambient pressure environment. The barometric height estimation is especially challenging in tactical and rescue applications where high temperatures or sudden large pressure shocks can change the pressure rapidly. We assess the suitability of barometers for infrastructure-free navigation in tactical applications. First, this paper investigates the effect of transition in seamless indoor/outdoor navigation. Second, we measure the effects of pressure shocks, caused by explosions or firearms, on low-cost and lightweight micro-electromechanical barometers to ensure that the sensors are capable of operating under these conditions. Finally, we investigate the use of sonar measurement to estimate the vertical speed as an alternative to the reference barometer for infrastructure-free navigation. The fusion of barometer and sonar achieved on average 0.46-m root-mean-square error (RMSE) while simple barometric height estimation had a RMSE of 0.65 m. The fusion method had no errors over 1.5 m during the test. This accuracy is generally sufficient to find the correct floor level which is crucial for tactical situational awareness. The goal of this paper is to develop the methods for seamless indoor/outdoor navigation, and therefore the most important result of this paper is that the error caused when transitioning between outdoor and indoor environments is visibly reduced.
机译:使用气压计进行高度估计通常需要使用外部参考来校正测量中的偏差。这些偏差通常是由环境压力环境的变化引起的。在高温或突然的大压力冲击会迅速改变压力的战术和救援应用中,大气高度的估计尤其具有挑战性。我们评估气压计在战术应用中对无基础设施导航的适用性。首先,本文研究了过渡在无缝室内/室外导航中的作用。其次,我们测量由爆炸或枪支引起的压力冲击对低成本,轻便的微机电气压计的影响,以确保传感器能够在这些条件下运行。最后,我们调查了声纳测量的使用,以估计垂直速度,以此作为无基础设施导航的参考晴雨表的替代方法。气压计和声纳的融合平均实现了0.46-m的均方根误差(RMSE),而简单的气压高度估计的RMSE为0.65 m。在测试过程中,融合方法没有超过1.5 m的误差。通常,此准确性足以找到正确的地面高度,这对于战术态势感知至关重要。本文的目的是开发无缝的室内/室外导航方法,因此,本文最重要的结果是,明显减少了在室外和室内环境之间转换时引起的误差。

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