Seamless Pedestrian Navigation Methodology Optimized for Indoor/Outdoor Detection

The widespread popularity of the smartphone and the increasing integrated sensors, make it possible to provide the location-based service for anyone at anytime, anywhere. The pedestrian location based on the smartphone becomes a kind of wonderful solution for indoor/outdoor positioning. A smartphone...

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Bibliographic Details
Published in:IEEE sensors journal 2018-01, Vol.18 (1), p.363-374
Main Authors: Zeng, Qinghua, Wang, Jingxian, Meng, Qian, Zhang, Xiaoxue, Zeng, Shijie
Format: Article
Language:English
Subjects:
Accelerometers
Dead reckoning
Electronic maps
Global navigation satellite system
Gyroscopes
Image detection
Indoor environments
indoor/outdoor detection
Inertial navigation
Location based services
Magnetic sensors
multi-information fusion
Navigation satellites
Outdoors
Pedestrian navigation
Position (location)
Satellites
seamless position
Sensor fusion
Sensors
Smartphones
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Summary:The widespread popularity of the smartphone and the increasing integrated sensors, make it possible to provide the location-based service for anyone at anytime, anywhere. The pedestrian location based on the smartphone becomes a kind of wonderful solution for indoor/outdoor positioning. A smartphone fusion location method optimized by the indoor/outdoor detection is proposed in this paper. The light sensor signal, the magnetic sensor signal, and the global navigation satellite system (GNSS) signal are integrated into the navigation algorithm to improve the accuracy of the location identification. When the device is detected indoors, the pedestrian dead reckoning algorithm based on the accelerometers and gyroscopes is applied, the initial location and the heading direction values are obtained with the help of the mobile image sensor and the indoor electronic map. When the device is detected outdoors, the GNSS and the magnetic sensor are introduced in the system to assist the inertial process of the navigation. The experiment results indicate that the continuity and the accuracy of the seamless position between the two environments are effectively improved. It is a no-blind area indoor/outdoor navigation with the help of the indoor/outdoor detection method proposed in the paper.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2017.2764509