UVtrack: Multi-Modal Indoor Seamless Localization Using Ultra-Wideband Communication and Vision Sensors
High precision and robust indoor positioning system has a broad range of applications in the area of mobile computing. Due to the advancement of image processing algorithms, the prevalence of surveillance ambient cameras shows promise for offering sub-meter accuracy localization services. The tracki...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Open Journal of the Computer Society |
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| Online Access: | https://ieeexplore.ieee.org/document/10845877/ |
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| author | Yi Xu Zhigang Chen Ming Zhao Fengxiao Tang Yangfan Li Jiaqi Liu Nei Kato |
| author_facet | Yi Xu Zhigang Chen Ming Zhao Fengxiao Tang Yangfan Li Jiaqi Liu Nei Kato |
| author_sort | Yi Xu |
| collection | DOAJ |
| description | High precision and robust indoor positioning system has a broad range of applications in the area of mobile computing. Due to the advancement of image processing algorithms, the prevalence of surveillance ambient cameras shows promise for offering sub-meter accuracy localization services. The tracking performance in dynamic contexts is still unreliable for ambient camera-based methods, despite their general ability to pinpoint pedestrians in video frames at fine-grained levels. Contrarily, ultra-wideband-based technology can continuously track pedestrians, but they are frequently susceptible to the effects of non-line-of-sight (NLOS) errors on the surrounding environment. We see a chance to combine these two most viable approaches in order to get beyond the aforementioned drawbacks and return to the pedestrian localization issue from a different angle. In this article, we propose UVtrack, a localization system based on UWB and ambient cameras that achieves centimeter accuracy and improved reliability. The key innovation of UVtrack is a well-designed particle filter which adopts UWB and vision results in the weight update of the particle set, and an adaptive distance variance weighted least squares method (DVLS) to improve UWB sub-system robustness. We take UVtrack into use on common smartphones and test its effectiveness in three different situations. The results demonstrated that UVtrack attains an outstanding localization accuracy of 7 cm. |
| format | Article |
| id | doaj-art-8e29a477ab834629b1b6a26cf56526f9 |
| institution | Kabale University |
| issn | 2644-1268 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of the Computer Society |
| spelling | doaj-art-8e29a477ab834629b1b6a26cf56526f92025-02-05T00:01:17ZengIEEEIEEE Open Journal of the Computer Society2644-12682025-01-01627228110.1109/OJCS.2025.353144210845877UVtrack: Multi-Modal Indoor Seamless Localization Using Ultra-Wideband Communication and Vision SensorsYi Xu0https://orcid.org/0000-0002-4076-369XZhigang Chen1https://orcid.org/0000-0002-4437-4077Ming Zhao2https://orcid.org/0000-0003-2317-5359Fengxiao Tang3https://orcid.org/0000-0003-2414-4802Yangfan Li4https://orcid.org/0000-0003-3640-5088Jiaqi Liu5https://orcid.org/0000-0001-5586-7718Nei Kato6https://orcid.org/0000-0001-8769-302XBig Data Institute, Central South University, Changsha, ChinaBig Data Institute, Central South University, Changsha, ChinaSchool of Computer Science and Engineering, Central South University, Changsha, ChinaSchool of Computer Science and Engineering, Central South University, Changsha, ChinaSchool of Computer Science and Engineering, Central South University, Changsha, ChinaSchool of Computer Science and Engineering, Central South University, Changsha, ChinaGraduate School of Information Sciences, Tohoku University, Sendai, JapanHigh precision and robust indoor positioning system has a broad range of applications in the area of mobile computing. Due to the advancement of image processing algorithms, the prevalence of surveillance ambient cameras shows promise for offering sub-meter accuracy localization services. The tracking performance in dynamic contexts is still unreliable for ambient camera-based methods, despite their general ability to pinpoint pedestrians in video frames at fine-grained levels. Contrarily, ultra-wideband-based technology can continuously track pedestrians, but they are frequently susceptible to the effects of non-line-of-sight (NLOS) errors on the surrounding environment. We see a chance to combine these two most viable approaches in order to get beyond the aforementioned drawbacks and return to the pedestrian localization issue from a different angle. In this article, we propose UVtrack, a localization system based on UWB and ambient cameras that achieves centimeter accuracy and improved reliability. The key innovation of UVtrack is a well-designed particle filter which adopts UWB and vision results in the weight update of the particle set, and an adaptive distance variance weighted least squares method (DVLS) to improve UWB sub-system robustness. We take UVtrack into use on common smartphones and test its effectiveness in three different situations. The results demonstrated that UVtrack attains an outstanding localization accuracy of 7 cm.https://ieeexplore.ieee.org/document/10845877/Visual trackingUWBindoor localizationsensor fusion |
| spellingShingle | Yi Xu Zhigang Chen Ming Zhao Fengxiao Tang Yangfan Li Jiaqi Liu Nei Kato UVtrack: Multi-Modal Indoor Seamless Localization Using Ultra-Wideband Communication and Vision Sensors IEEE Open Journal of the Computer Society Visual tracking UWB indoor localization sensor fusion |
| title | UVtrack: Multi-Modal Indoor Seamless Localization Using Ultra-Wideband Communication and Vision Sensors |
| title_full | UVtrack: Multi-Modal Indoor Seamless Localization Using Ultra-Wideband Communication and Vision Sensors |
| title_fullStr | UVtrack: Multi-Modal Indoor Seamless Localization Using Ultra-Wideband Communication and Vision Sensors |
| title_full_unstemmed | UVtrack: Multi-Modal Indoor Seamless Localization Using Ultra-Wideband Communication and Vision Sensors |
| title_short | UVtrack: Multi-Modal Indoor Seamless Localization Using Ultra-Wideband Communication and Vision Sensors |
| title_sort | uvtrack multi modal indoor seamless localization using ultra wideband communication and vision sensors |
| topic | Visual tracking UWB indoor localization sensor fusion |
| url | https://ieeexplore.ieee.org/document/10845877/ |
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