A Hybrid Indoor Altimetry Based on Barometer and UWB
Accurate altimetry is essential for location-based services in commercial and industrial applications. However, current altimetry methods only provide low-accuracy measurements, particularly in multistorey buildings with irregular structures, such as hollow areas found in various industrial and comm...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/9/4180 |
| _version_ | 1797601728418283520 |
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| author | Minghao Si Yunjia Wang Ning Zhou Cheekiat Seow Harun Siljak |
| author_facet | Minghao Si Yunjia Wang Ning Zhou Cheekiat Seow Harun Siljak |
| author_sort | Minghao Si |
| collection | DOAJ |
| description | Accurate altimetry is essential for location-based services in commercial and industrial applications. However, current altimetry methods only provide low-accuracy measurements, particularly in multistorey buildings with irregular structures, such as hollow areas found in various industrial and commercial sites. This paper innovatively proposes a tightly coupled indoor altimetry system that utilizes floor identification to improve height measurement accuracy. The system includes two optimized algorithms that improve floor identification accuracy through activity detection and address the problem of difficult convergence of <i>z</i>-axis coordinates due to indoor coplanarity by applying constraints to iterative least squares (ILS). Two experiments were conducted in a teaching building and a laboratory, including an irregular environment with a hollow area. The results show that our proposed method for identifying floors based on activity detection outperforms other methods. In dynamic experiments, our method effectively eliminates repeated transformations during the up- and downstairs process, and in static experiments, it minimizes the impact of barometric drift. Furthermore, our proposed altimetry method based on constrained ILS achieves significantly improved positioning accuracy compared to ILS, 1D-CNN, and WC. Specifically, in the teaching building, our method achieves improvements of 0.84 m, 0.288 m, and 0.248 m, respectively, while in the laboratory, the improvements are 2.607 m, 0.696 m, and 0.625 m. |
| first_indexed | 2024-03-11T04:07:47Z |
| format | Article |
| id | doaj.art-439160bf19474eac9bc960d955a5f1e4 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T04:07:47Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-439160bf19474eac9bc960d955a5f1e42023-11-17T23:40:48ZengMDPI AGSensors1424-82202023-04-01239418010.3390/s23094180A Hybrid Indoor Altimetry Based on Barometer and UWBMinghao Si0Yunjia Wang1Ning Zhou2Cheekiat Seow3Harun Siljak4Key Laboratory for Land Environment and Disaster Monitoring, China University of Mining and Technology, Xuzhou 221116, ChinaKey Laboratory for Land Environment and Disaster Monitoring, China University of Mining and Technology, Xuzhou 221116, ChinaChinese Academy of Surveying and Mapping, Beijing 100036, ChinaSchool of Computing Science, University of Glasgow, Glasgow G12 8RZ, UKSchool of Engineering, Trinity College Dublin, The University of Dublin, D02 PN40 Dublin, IrelandAccurate altimetry is essential for location-based services in commercial and industrial applications. However, current altimetry methods only provide low-accuracy measurements, particularly in multistorey buildings with irregular structures, such as hollow areas found in various industrial and commercial sites. This paper innovatively proposes a tightly coupled indoor altimetry system that utilizes floor identification to improve height measurement accuracy. The system includes two optimized algorithms that improve floor identification accuracy through activity detection and address the problem of difficult convergence of <i>z</i>-axis coordinates due to indoor coplanarity by applying constraints to iterative least squares (ILS). Two experiments were conducted in a teaching building and a laboratory, including an irregular environment with a hollow area. The results show that our proposed method for identifying floors based on activity detection outperforms other methods. In dynamic experiments, our method effectively eliminates repeated transformations during the up- and downstairs process, and in static experiments, it minimizes the impact of barometric drift. Furthermore, our proposed altimetry method based on constrained ILS achieves significantly improved positioning accuracy compared to ILS, 1D-CNN, and WC. Specifically, in the teaching building, our method achieves improvements of 0.84 m, 0.288 m, and 0.248 m, respectively, while in the laboratory, the improvements are 2.607 m, 0.696 m, and 0.625 m.https://www.mdpi.com/1424-8220/23/9/4180indoor positioningaltimetrybarometerUWB |
| spellingShingle | Minghao Si Yunjia Wang Ning Zhou Cheekiat Seow Harun Siljak A Hybrid Indoor Altimetry Based on Barometer and UWB Sensors indoor positioning altimetry barometer UWB |
| title | A Hybrid Indoor Altimetry Based on Barometer and UWB |
| title_full | A Hybrid Indoor Altimetry Based on Barometer and UWB |
| title_fullStr | A Hybrid Indoor Altimetry Based on Barometer and UWB |
| title_full_unstemmed | A Hybrid Indoor Altimetry Based on Barometer and UWB |
| title_short | A Hybrid Indoor Altimetry Based on Barometer and UWB |
| title_sort | hybrid indoor altimetry based on barometer and uwb |
| topic | indoor positioning altimetry barometer UWB |
| url | https://www.mdpi.com/1424-8220/23/9/4180 |
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