IPM-INS: A Pedestrian Inertial Navigation System Using a Trunk-Mounted IMU Based on Inverted Pendulum Model

Existing pedestrian dead reckoning (PDR) that relies on inertial sensors is primarily based on the strap-down inertial navigation-based model (INS-PDR) using the IMU mounted on the foot or the step-based model (S-PDR) using the IMU mounted on the foot. These approaches face limitations due to the specialized equipment requirements and lower localization accuracy, which impede their practical application. The methods based on INS-PDR using trunk-mounted IMUs largely adopt the nonholonomic constraint (NHC), which is often used in the inertial navigation of vehicles, but this scheme simplistically assumes zero lateral velocity for pedestrians, which does not accurately reflect their actual motion. To address this issue, this article proposes an inverted pendulum model (IPM) based on the analysis of pedestrian motion during walking. This model is used to calculate 3-D velocity and displacement during pedestrian movement, thereby correcting the cumulative localization errors from inertial navigation and achieving accurate pedestrian location information. Experimental results demonstrate that the proposed method improves localization accuracy by 30% compared to the most advanced existing methods.

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Publication Details

Journal
IEEE Transactions on Instrumentation and Measurement
Published
2025-01-01
DOI
https://doi.org/10.1109/tim.2025.3553223
Citations
1
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
4.99

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article

IPM-INS: A Pedestrian Inertial Navigation System Using a Trunk-Mounted IMU Based on Inverted Pendulum Model

Hong Yuan, Lei Cao, Dongyan Wei, Wenchao Zhang
1 citations
IEEE Transactions on Instrumentation and Measurement
Inertial Sensor and Navigation
4.99
article

IPM-INS: A Pedestrian Inertial Navigation System Using a Trunk-Mounted IMU Based on Inverted Pendulum Model

Hong Yuan, Lei Cao, Dongyan Wei, Wenchao Zhang
article en
1 citations

Abstract

Existing pedestrian dead reckoning (PDR) that relies on inertial sensors is primarily based on the strap-down inertial navigation-based model (INS-PDR) using the IMU mounted on the foot or the step-based model (S-PDR) using the IMU mounted on the foot. These approaches face limitations due to the specialized equipment requirements and lower localization accuracy, which impede their practical application. The methods based on INS-PDR using trunk-mounted IMUs largely adopt the nonholonomic constraint (NHC), which is often used in the inertial navigation of vehicles, but this scheme simplistically assumes zero lateral velocity for pedestrians, which does not accurately reflect their actual motion. To address this issue, this article proposes an inverted pendulum model (IPM) based on the analysis of pedestrian motion during walking. This model is used to calculate 3-D velocity and displacement during pedestrian movement, thereby correcting the cumulative localization errors from inertial navigation and achieving accurate pedestrian location information. Experimental results demonstrate that the proposed method improves localization accuracy by 30% compared to the most advanced existing methods.

IEEE Transactions on Instrumentation and MeasurementVol. 74
Chinese Academy of Sciences (CN), Aerospace Information Research Institute (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences
Openalex Percentile: Top 7%
Inertial Sensor and Navigation
4.99
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IPM-INS: A Pedestrian Inertial Navigation System Using a Trunk-Mounted IMU Based on Inverted Pendulum Model — Hong Yuan, Lei Cao, et al. · IEEE Transactions on Instrumentation and Measurement (2025) | TGRS Research Map | TGRS