Pedestrian Dead Reckoning using Invariant Extended Kalman Filter
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
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| _version_ | 1866913993307717632 |
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| author | Zhang, Jingran Yan, Zhengzhang Chen, Yiming He, Zeqiang Chen, Jiahao |
| author_facet | Zhang, Jingran Yan, Zhengzhang Chen, Yiming He, Zeqiang Chen, Jiahao |
| contents | This paper presents a cost-effective inertial pedestrian dead reckoning method for the bipedal robot in the GPS-denied environment. Each time when the inertial measurement unit (IMU) is on the stance foot, a stationary pseudo-measurement can be executed to provide innovation to the IMU measurement based prediction. The matrix Lie group based theoretical development of the adopted invariant extended Kalman filter (InEKF) is set forth for tutorial purpose. Three experiments are conducted to compare between InEKF and standard EKF, including motion capture benchmark experiment, large-scale multi-floor walking experiment, and bipedal robot experiment, as an effort to show our method's feasibility in real-world robot system. In addition, a sensitivity analysis is included to show that InEKF is much easier to tune than EKF. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_11396 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Pedestrian Dead Reckoning using Invariant Extended Kalman Filter Zhang, Jingran Yan, Zhengzhang Chen, Yiming He, Zeqiang Chen, Jiahao Robotics This paper presents a cost-effective inertial pedestrian dead reckoning method for the bipedal robot in the GPS-denied environment. Each time when the inertial measurement unit (IMU) is on the stance foot, a stationary pseudo-measurement can be executed to provide innovation to the IMU measurement based prediction. The matrix Lie group based theoretical development of the adopted invariant extended Kalman filter (InEKF) is set forth for tutorial purpose. Three experiments are conducted to compare between InEKF and standard EKF, including motion capture benchmark experiment, large-scale multi-floor walking experiment, and bipedal robot experiment, as an effort to show our method's feasibility in real-world robot system. In addition, a sensitivity analysis is included to show that InEKF is much easier to tune than EKF. |
| title | Pedestrian Dead Reckoning using Invariant Extended Kalman Filter |
| topic | Robotics |
| url | https://arxiv.org/abs/2508.11396 |