Less is More: Physical-enhanced Radar-Inertial Odometry
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
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| _version_ | 1866913222940950528 |
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| author | Huang, Qiucan Liang, Yuchen Qiao, Zhijian Shen, Shaojie Yin, Huan |
| author_facet | Huang, Qiucan Liang, Yuchen Qiao, Zhijian Shen, Shaojie Yin, Huan |
| contents | Radar offers the advantage of providing additional physical properties related to observed objects. In this study, we design a physical-enhanced radar-inertial odometry system that capitalizes on the Doppler velocities and radar cross-section information. The filter for static radar points, correspondence estimation, and residual functions are all strengthened by integrating the physical properties. We conduct experiments on both public datasets and our self-collected data, with different mobile platforms and sensor types. Our quantitative results demonstrate that the proposed radar-inertial odometry system outperforms alternative methods using the physical-enhanced components. Our findings also reveal that using the physical properties results in fewer radar points for odometry estimation, but the performance is still guaranteed and even improved, thus aligning with the ``less is more'' principle. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_02200 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Less is More: Physical-enhanced Radar-Inertial Odometry Huang, Qiucan Liang, Yuchen Qiao, Zhijian Shen, Shaojie Yin, Huan Robotics Radar offers the advantage of providing additional physical properties related to observed objects. In this study, we design a physical-enhanced radar-inertial odometry system that capitalizes on the Doppler velocities and radar cross-section information. The filter for static radar points, correspondence estimation, and residual functions are all strengthened by integrating the physical properties. We conduct experiments on both public datasets and our self-collected data, with different mobile platforms and sensor types. Our quantitative results demonstrate that the proposed radar-inertial odometry system outperforms alternative methods using the physical-enhanced components. Our findings also reveal that using the physical properties results in fewer radar points for odometry estimation, but the performance is still guaranteed and even improved, thus aligning with the ``less is more'' principle. |
| title | Less is More: Physical-enhanced Radar-Inertial Odometry |
| topic | Robotics |
| url | https://arxiv.org/abs/2402.02200 |