Pedestrian Dead Reckoning Navigation with the Help of A⁎-Based Routing Graphs in Large Unconstrained Spaces
Joint Authors
Alaoui, F. Taia
Betaille, David
Renaudin, Valérie
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-10
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
An A⁎-based routing graph is proposed to assist PDR indoor and outdoor navigation with handheld devices.
Measurements are provided by inertial and magnetic sensors together with a GNSS receiver.
The novelty of this work lies in providing a realistic motion support that mitigates the absence of obstacles and enables the calibration of the PDR model even in large spaces where GNSS signal is unavailable.
This motion support is exploited for both predicting positions and updating them using a particle filter.
The navigation network is used to correct for the gyro drift, to adjust the step length model and to assess heading misalignment between the pedestrian’s walking direction and the pointing direction of the handheld device.
Several datasets have been tested and results show that the proposed model ensures a seamless transition between outdoor and indoor environments and improves the positioning accuracy.
The drift is almost cancelled thanks to heading correction in contrast with a drift of 8% for the nonaided PDR approach.
The mean error of filtered positions ranges from 3 to 5 m.
American Psychological Association (APA)
Alaoui, F. Taia& Betaille, David& Renaudin, Valérie. 2017. Pedestrian Dead Reckoning Navigation with the Help of A⁎-Based Routing Graphs in Large Unconstrained Spaces. Wireless Communications and Mobile Computing،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1206200
Modern Language Association (MLA)
Alaoui, F. Taia…[et al.]. Pedestrian Dead Reckoning Navigation with the Help of A⁎-Based Routing Graphs in Large Unconstrained Spaces. Wireless Communications and Mobile Computing No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1206200
American Medical Association (AMA)
Alaoui, F. Taia& Betaille, David& Renaudin, Valérie. Pedestrian Dead Reckoning Navigation with the Help of A⁎-Based Routing Graphs in Large Unconstrained Spaces. Wireless Communications and Mobile Computing. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1206200
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1206200