Pedestrian Navigation Using Waist-Mounted IMU and RTK

Inertial navigation systems (INSs) play a crucial role in global navigation satellite system (GNSS)-denied environments, including individual soldier positioning, emergency rescue, and healthcare applications. However, the accumulation of localization errors over time due to inertial sensor noise remains a significant challenge. This article presents a novel navigation and positioning method integrating real-time kinematic (RTK) and pedestrian dead reckoning (PDR). The proposed approach leverages RTK to precisely determine the true heading over short distances and time intervals, thereby enhancing the accuracy of the initial heading estimation. Furthermore, a real-time heading correction algorithm based on RTK is developed to mitigate heading drift in PDR. Experimental results demonstrate that the method achieves an initial heading error of 0.18° within 8 m of straight walking and a positioning error of 0.51 m after 800 m. This approach holds substantial potential for high-precision indoor and outdoor seamless positioning applications.

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Publication Details

Journal
IEEE Sensors Journal
Published
2024-12-19
DOI
https://doi.org/10.1109/jsen.2024.3515106
Citations
6
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
1.50

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article

Pedestrian Navigation Using Waist-Mounted IMU and RTK

Jiangfeng Huang, Yanping Chen, Mengqiang Zou, Hui Peng et al.
6 citations
IEEE Sensors Journal
Robotic Path Planning Algorithms
1.50
article

Pedestrian Navigation Using Waist-Mounted IMU and RTK

Jiangfeng Huang, Yanping Chen, Mengqiang Zou, Hui Peng, Yu Liu, Shiliang Wang, Xiaowei Liu
article en
6 citations

Abstract

Inertial navigation systems (INSs) play a crucial role in global navigation satellite system (GNSS)-denied environments, including individual soldier positioning, emergency rescue, and healthcare applications. However, the accumulation of localization errors over time due to inertial sensor noise remains a significant challenge. This article presents a novel navigation and positioning method integrating real-time kinematic (RTK) and pedestrian dead reckoning (PDR). The proposed approach leverages RTK to precisely determine the true heading over short distances and time intervals, thereby enhancing the accuracy of the initial heading estimation. Furthermore, a real-time heading correction algorithm based on RTK is developed to mitigate heading drift in PDR. Experimental results demonstrate that the method achieves an initial heading error of 0.18° within 8 m of straight walking and a positioning error of 0.51 m after 800 m. This approach holds substantial potential for high-precision indoor and outdoor seamless positioning applications.

IEEE Sensors JournalVol. 25(3)
Chongqing University of Posts and Telecommunications (CN), Chongqing University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Chongqing, Chongqing Municipal Education Commission
Openalex Percentile: Top 16%
Robotic Path Planning Algorithms
1.50
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Pedestrian Navigation Using Waist-Mounted IMU and RTK — Jiangfeng Huang, Yanping Chen, et al. · IEEE Sensors Journal (2024) | TGRS Research Map | TGRS