MVP:用于gnss拒绝环境的磁性车辆定位系统

Chia-Cheng Wang, Jyh-cheng Chen, Yi Chen, Rui-Heng Tu, Jia-Jiun Lee, Yugang Xiao, Shan-Yu Cai
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引用次数: 3

摘要

在全球导航卫星系统(GNSS)拒绝的环境中,如隧道和地下通道,精确定位仍然是一个挑战。这种环境下的导航系统需要在价格和精度之间取得平衡。在本文中,我们提出了磁性车辆定位(MVP),这是一种在gnss拒绝环境中引导驾驶员的导航系统。MVP的核心思想是从地磁场异常中提取磁指纹。通过将测量的磁场与磁图进行比较,可以在没有GNSS信号的情况下实现定位。我们提出的匹配算法允许MVP提供5.14 m的定位精度。我们在两个国家和56条隧道进行了为期36个月的大规模实际道路试验,以证明所提出系统的有效性。由于MVP可以部署在现成的智能手机上,因此我们的方法可以在没有gnss的环境中实现精确导航。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MVP: magnetic vehicular positioning system for GNSS-denied environments
Accurate positioning in global navigation satellite system (GNSS)-denied environments, such as tunnels and underpasses, remains a challenge. Navigation systems for such environments need to strike a balance between price and precision. In this paper, we propose magnetic vehicular positioning (MVP), a navigation system that guides drivers in GNSS-denied environments. The key idea of MVP is to extract magnetic fingerprints from geomagnetic field anomalies. By comparing the measured magnetic field against a magnetic map, positioning can be achieved without GNSS signals. Our proposed matching algorithm allows MVP to provide 5.14 m positioning accuracy. We conducted large-scale real-road experiments for 36 months in two countries and 56 tunnels to demonstrate the effectiveness of the proposed system. Because MVP can be deployed on off-the-shelf smartphones, our approach makes accurate navigation in GNSS-denied environments affordable.
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