INDOOR MAP AIDED INS/WI-FI INTEGRATED LBS ON SMARTPHONE PLATFORMS
In this research, an indoor map aided INS/Wi-Fi integrated location based services (LBS) applications is proposed and implemented on smartphone platforms. Indoor map information together with measurements from an inertial measurement unit (IMU) and Received Signal Strength Indicator (RSSI) value f...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2017-09-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2-W4/425/2017/isprs-annals-IV-2-W4-425-2017.pdf |
| Summary: | In this research, an indoor map aided INS/Wi-Fi integrated location based services (LBS) applications is proposed and implemented
on smartphone platforms. Indoor map information together with measurements from an inertial measurement unit (IMU) and
Received Signal Strength Indicator (RSSI) value from Wi-Fi are collected to obtain an accurate, continuous, and low-cost position
solution. The main challenge of this research is to make effective use of various measurements that complement each other without
increasing the computational burden of the system. The integrated system in this paper includes three modules: INS, Wi-Fi (if signal
available) and indoor maps. A cascade structure Particle/Kalman filter framework is applied to combine the different modules.
Firstly, INS position and Wi-Fi fingerprint position integrated through Kalman filter for estimating positioning information. Then,
indoor map information is applied to correct the error of INS/Wi-Fi estimated position through particle filter. Indoor tests show that
the proposed method can effectively reduce the accumulation positioning errors of stand-alone INS systems, and provide stable,
continuous and reliable indoor location service. |
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| ISSN: | 2194-9042 2194-9050 |