Conference item

Demo: IMU−Aided Magneto−Inductive Localization

Abstract:: In this work, we propose an infrastructure-based indoor localization system that exploits the predictable spatio-temporal features of a local magnetic field. The system also relies on inertial data in order to map the environment and track the user's location. Additionally, WiFi access points may be used to improve the performance.

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APA Style

Abrudan, T., Xiao, Z., Markham, A., & Trigoni, N. (2015). Demo: IMU−Aided Magneto−Inductive Localization.

MLA Style

Abrudan, T, et al. “Demo: IMU−Aided Magneto−Inductive Localization.” 2015.

Chicago Style

Abrudan, T, Z Xiao, A Markham, and N Trigoni. 2015. “Demo: IMU−Aided Magneto−Inductive Localization.”
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Files:: IPSN2014_indoor_localization_competition_abstract_Abrudan_Xiao...

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Authors

+ Abrudan, T More by this author

Role:: Author

+ Xiao, Z More by this author

Role:: Author

+ Markham, A More by this author

Role:: Author

+ Trigoni, N More by this author

Role:: Author

Publisher:: Berlin‚ Germany
Host title:: Microsoft Indoor Localization Competition‚ at the 13th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2014)
Publication date:: 2015-01-01

UUID:: uuid:a4c8ff42-ceb2-4801-b5b4-c27d9c1f4acc
Local pid:: cs:8917
Deposit date:: 2015-03-31
ARK identifier:: ark:/29072/ora_a4c8ff42ceb24801b5b4c27d9c1f4acc

Terms of use

Copyright date:: 2015

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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