1. MVP
- Author
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Jia-Jiun Lee, Jyh-Cheng Chen, Chia-Cheng Wang, Shan-Yu Cai, Rui-Heng Tu, Yu-Xin Xiao, and Yi Chen
- Subjects
Earth's magnetic field ,Positioning system ,GNSS applications ,Computer science ,Real-time computing ,Key (cryptography) ,Navigation system ,Satellite system ,Blossom algorithm - Abstract
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.
- Published
- 2021
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