Unsupervised Indoor Positioning System Based on Environmental Signatures

Unsupervised Indoor Positioning System Based on Environmental Signatures

Mobile sensors are widely used in indoor positioning in recent years, but most methods require cumbersome calibration for precise positioning results, thus the paper proposes a new unsupervised indoor positioning (UIP) without cumbersome calibration. UIP takes advantage of environment features in in...

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Bibliographic Details
Main Authors: Pan Feng, Danyang Qin, Min Zhao, Ruolin Guo, Teklu Merhawit Berhane
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Entropy
Subjects:
indoor positioning
unsupervised positioning
SLAM
mobile sensor
Online Access:https://www.mdpi.com/1099-4300/21/3/327

Internet

https://www.mdpi.com/1099-4300/21/3/327

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