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A Dual-Sensor Enabled Indoor Localization System with Crowdsensing Spot Survey
| Citations: | 4 - 0 self |
BibTeX
@MISC{Zhang_adual-sensor,
author = {Chi Zhang and Jun Luo and Jianxin Wu},
title = {A Dual-Sensor Enabled Indoor Localization System with Crowdsensing Spot Survey},
year = {}
}
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Abstract
Abstract—We present MaWi- a smart phone based scalable indoor localization system. Central to MaWi is a novel framework combining two self-contained but complementary localization techniques: Wi-Fi and Ambient Magnetic Field. Combining the two techniques, MaWi not only achieves a high localization accuracy, but also effectively reduces human labor in building fingerprint databases: to avoid war-driving, MaWi is designed to work with low quality fingerprint databases that can be efficiently built by only one person. Our experiments demonstrate that MaWi, with a fingerprint database as scarce as one data sample at each spot, outperforms the state-of-the-art proposals working on a richer fingerprint database.
Keyphrases
crowdsensing spot survey dual-sensor enabled indoor localization system fingerprint database state-of-the-art proposal ambient magnetic field human labor complementary localization technique novel framework low quality fingerprint building fingerprint database smart phone scalable indoor localization system data sample high localization accuracy
