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.
Authors
- Hong Yuan (ORCID: https://orcid.org/0000-0002-3807-8132)
- Lei Cao (ORCID: https://orcid.org/0009-0001-7548-3866)
- Dongyan Wei (ORCID: https://orcid.org/0000-0002-4961-0032)
- Wenchao Zhang (ORCID: https://orcid.org/0000-0002-6412-3961)
Institutions
- Chinese Academy of Sciences (CN)
- Aerospace Information Research Institute (CN)
- University of Chinese Academy of Sciences (CN)
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
Funders
- National Natural Science Foundation of China
- Chinese Academy of Sciences