A Low-Cost and Efficient Indoor Fusion Localization Method
Accurate indoor location information has considerable social and economic value in applications, such as pedestrian heatmapping and indoor navigation. Ultrasonic-based approaches have received significant attention mainly since they have advantages in terms of positioning with temporal correlation....
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/15/5505 |
| _version_ | 1797412359179862016 |
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| author | Suqing Yan Chunping Wu Honggao Deng Xiaonan Luo Yuanfa Ji Jianming Xiao |
| author_facet | Suqing Yan Chunping Wu Honggao Deng Xiaonan Luo Yuanfa Ji Jianming Xiao |
| author_sort | Suqing Yan |
| collection | DOAJ |
| description | Accurate indoor location information has considerable social and economic value in applications, such as pedestrian heatmapping and indoor navigation. Ultrasonic-based approaches have received significant attention mainly since they have advantages in terms of positioning with temporal correlation. However, it is a great challenge to gain accurate indoor localization due to complex indoor environments such as non-uniform indoor facilities. To address this problem, we propose a fusion localization method in the indoor environment that integrates the localization information of inertial sensors and acoustic signals. Meanwhile, the threshold scheme is used to eliminate outliers during the positioning process. In this paper, the estimated location is fused by the adaptive distance weight for the time difference of arrival (TDOA) estimation and improved pedestrian dead reckoning (PDR) estimation. Three experimental scenes have been developed. The experimental results demonstrate that the proposed method has higher localization accuracy in determining the pedestrian location than the state-of-the-art methods. It resolves the problem of outliers in indoor acoustic signal localization and cumulative errors in inertial sensors. The proposed method achieves better performance in the trade-off between localization accuracy and low cost. |
| first_indexed | 2024-03-09T05:01:00Z |
| format | Article |
| id | doaj.art-56c692f2b22c4799b120f2435b005432 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T05:01:00Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-56c692f2b22c4799b120f2435b0054322023-12-03T12:59:48ZengMDPI AGSensors1424-82202022-07-012215550510.3390/s22155505A Low-Cost and Efficient Indoor Fusion Localization MethodSuqing Yan0Chunping Wu1Honggao Deng2Xiaonan Luo3Yuanfa Ji4Jianming Xiao5Guangxi Key Laboratory of Precision Navigation Technology and Application, Guilin University of Electronic Technology, Guilin 541004, ChinaSchool of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, ChinaGuangxi Key Laboratory of Precision Navigation Technology and Application, Guilin University of Electronic Technology, Guilin 541004, ChinaGuangxi Key Laboratory of Image and Graphic Intelligent Processing, Guilin University of Electronic Technology, Guilin 541004, ChinaGuangxi Key Laboratory of Precision Navigation Technology and Application, Guilin University of Electronic Technology, Guilin 541004, ChinaDepartment of Science and Engineering, Guilin University, Guilin 541004, ChinaAccurate indoor location information has considerable social and economic value in applications, such as pedestrian heatmapping and indoor navigation. Ultrasonic-based approaches have received significant attention mainly since they have advantages in terms of positioning with temporal correlation. However, it is a great challenge to gain accurate indoor localization due to complex indoor environments such as non-uniform indoor facilities. To address this problem, we propose a fusion localization method in the indoor environment that integrates the localization information of inertial sensors and acoustic signals. Meanwhile, the threshold scheme is used to eliminate outliers during the positioning process. In this paper, the estimated location is fused by the adaptive distance weight for the time difference of arrival (TDOA) estimation and improved pedestrian dead reckoning (PDR) estimation. Three experimental scenes have been developed. The experimental results demonstrate that the proposed method has higher localization accuracy in determining the pedestrian location than the state-of-the-art methods. It resolves the problem of outliers in indoor acoustic signal localization and cumulative errors in inertial sensors. The proposed method achieves better performance in the trade-off between localization accuracy and low cost.https://www.mdpi.com/1424-8220/22/15/5505indoor localizationstep length estimationacoustic signalimproved pedestrian dead reckon |
| spellingShingle | Suqing Yan Chunping Wu Honggao Deng Xiaonan Luo Yuanfa Ji Jianming Xiao A Low-Cost and Efficient Indoor Fusion Localization Method Sensors indoor localization step length estimation acoustic signal improved pedestrian dead reckon |
| title | A Low-Cost and Efficient Indoor Fusion Localization Method |
| title_full | A Low-Cost and Efficient Indoor Fusion Localization Method |
| title_fullStr | A Low-Cost and Efficient Indoor Fusion Localization Method |
| title_full_unstemmed | A Low-Cost and Efficient Indoor Fusion Localization Method |
| title_short | A Low-Cost and Efficient Indoor Fusion Localization Method |
| title_sort | low cost and efficient indoor fusion localization method |
| topic | indoor localization step length estimation acoustic signal improved pedestrian dead reckon |
| url | https://www.mdpi.com/1424-8220/22/15/5505 |
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