A Sensor Fusion Strategy for Indoor Target Three-dimensional Localization based on Ultra-Wideband and Barometric Altimeter Measurements

Bao, Le; Li, Kai; Li, Wenqi; Shin, Kyung-Hoon; Kim, Wansoo

doi:10.1109/ur55393.2022.9826288

Cited by 4 publications

(6 citation statements)

References 25 publications

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“…Compared to our previous study [20], this research developed an enhanced indoor 3D localization system, with significant upgrades and updates to both hardware and software:…”

Section: Comparison With Our Previous Studymentioning

confidence: 99%

“…BMP sensors estimate height by measuring barometric pressure values. In a previous study [ 20 ], we proposed a method for estimating indoor target height using dual BMP sensors. In this new study, we have revisited the observation of barometric pressure variations at fixed indoor locations, and conducted re-validation in the updated localization system.…”

Section: Spatial Distance Measurementmentioning

confidence: 99%

“…Additionally, while exploring the potential of these technologies, it is important to consider the cost factor [ 19 ] to ensure that technological solutions have the potential for widespread application. Based on our previous research [ 20 ], this study proposes an enhanced indoor 3D localization system, which fuses ultra-wideband (UWB) sensor ranging and barometric pressure (BMP) sensor height measurement.…”

Section: Introductionmentioning

confidence: 99%

“…This integration ensures indoor localization system enhances not only vertical but also horizontal localization precision. Based on our previous research [ 20 ], we have upgraded the hardware and software. By observing the trend of barometric pressure changes at different indoor locations over 30 min using BMP sensors, we confirmed once again that the drift of barometric pressure in the same indoor space tends to be consistent.…”

Section: Introductionmentioning

confidence: 99%

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An Enhanced Indoor Three-Dimensional Localization System with Sensor Fusion Based on Ultra-Wideband Ranging and Dual Barometer Altimetry

Bao,

Li,

Lee

et al. 2024

Sensors

Self Cite

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Accurate three-dimensional (3D) localization within indoor environments is crucial for enhancing item-based application services, yet current systems often struggle with localization accuracy and height estimation. This study introduces an advanced 3D localization system that integrates updated ultra-wideband (UWB) sensors and dual barometric pressure (BMP) sensors. Utilizing three fixed UWB anchors, the system employs geometric modeling and Kalman filtering for precise tag 3D spatial localization. Building on our previous research on indoor height measurement with dual BMP sensors, the proposed system demonstrates significant improvements in data processing speed and stability. Our enhancements include a new geometric localization model and an optimized Kalman filtering algorithm, which are validated by a high-precision motion capture system. The results show that the localization error is significantly reduced, with height accuracy of approximately ±0.05 m, and the Root Mean Square Error (RMSE) of the 3D localization system reaches 0.0740 m. The system offers expanded locatable space and faster data output rates, delivering reliable performance that supports advanced applications requiring detailed 3D indoor localization.

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“…Compared to our previous study [20], this research developed an enhanced indoor 3D localization system, with significant upgrades and updates to both hardware and software:…”

Section: Comparison With Our Previous Studymentioning

confidence: 99%

Section: Spatial Distance Measurementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Enhanced Indoor Three-Dimensional Localization System with Sensor Fusion Based on Ultra-Wideband Ranging and Dual Barometer Altimetry

Bao,

Li,

Lee

et al. 2024

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, these barometer-based methods are often severely affected by barometric drift, and it is difficult to maintain positioning accuracy for a long time. To solve the problem of barometric drift, Bao et al [14] set up another reference base station to update the reference barometric pressure in real-time. However, most commercial environments currently do not have extra reference base stations, and communication between devices may also limit the widespread adoption of this method.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Indoor Altimetry Based on Barometer and UWB

Wang

Zhou

et al. 2023

Sensors

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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 z-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.

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Sensing Pad for Pressure Distribution Mapping

Mateev

Marinova

2022

2022 XXXI International Scientific Conference Electronics (ET)

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A Sensor Fusion Strategy for Indoor Target Three-dimensional Localization based on Ultra-Wideband and Barometric Altimeter Measurements

Cited by 4 publications

References 25 publications

An Enhanced Indoor Three-Dimensional Localization System with Sensor Fusion Based on Ultra-Wideband Ranging and Dual Barometer Altimetry

An Enhanced Indoor Three-Dimensional Localization System with Sensor Fusion Based on Ultra-Wideband Ranging and Dual Barometer Altimetry

A Hybrid Indoor Altimetry Based on Barometer and UWB

Sensing Pad for Pressure Distribution Mapping

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