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Trajectory estimation improvement based on time-series constraint of GPS Doppler and INS in urban areas

机译:基于GPS多普勒和城市地区INS的时间序列约束的轨迹估计改进

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摘要

With the development of various driver assistance systems using vehicle position, improvement of positioning accuracy is desired. GPS widely used as a positioning system, can provide accuracy of a few meters in suburban areas. However, in urban areas, this accuracy can be degraded to ten meters or more because of the reflection and blocking of GPS signals by tall buildings. In order to maintain accurate positioning in such an environment, it is important to develop a method of trajectory estimation which is robust against the surrounding buildings. In this paper, the heading estimation which is the most influential factor in trajectory accuracy is improved by tight coupling of time-series GPS-Doppler and INS. As a result, the accuracy of trajectory estimation is improved in urban areas.
机译:随着使用车辆位置的各种驾驶员辅助系统的开发,需要提高定位精度。 GPS广泛用作定位系统,可以在郊区提供几米的准确性。然而,在城市地区,由于高层建筑的反射和阻断GPS信号,这种准确性可以降低到十米或更长时间。为了在这种环境中保持准确的定位,重要的是开发一种对周围建筑物鲁棒的轨迹估计方法。在本文中,通过时间序列GPS多普勒和INS的紧密耦合,提高了轨迹精度最有影响力的标题估计。结果,城市地区的轨迹估计的准确性得到了改善。

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