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Domain Adversarial Graph Convolutional Network Based on RSSI and Crowdsensing for Indoor Localization. (arXiv:2204.05184v2 [cs.NI] UPDATED)
May 27, 2022, 1:11 a.m. | Mingxin Zhang, Zipei Fan, Ryosuke Shibasaki, Xuan Song
cs.LG updates on arXiv.org arxiv.org
In recent years, due to the wider WiFi coverage and the popularization of
mobile communication devices, the technology of indoor positioning using WiFi
fingerprints has been rapidly developed. Currently, most supervised methods
need to collect a large amount of data to construct fingerprint datasets, which
is labor-intensive and time-consuming. In addition, many studies focused on the
ideal laboratory environment and lack the consideration in the practical
application environment, especially in the scenario of multiple large
multi-floor buildings. To solve these …
More from arxiv.org / cs.LG updates on arXiv.org
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