Indoor Localization Improved by Spatial Context-A Survey

被引：110
作者：
Gu, Fuqiang [1 ]
Hu, Xuke [2 ]
Ramezani, Milad [1 ]
Acharya, Debaditya [1 ]
Khoshelham, Kourosh [1 ]
Valaee, Shahrokh [3 ]
Shang, Jianga [4 ]
机构：
[1] Univ Melbourne, Melbourne, Vic 3010, Australia
[2] Heidelberg Univ, Grabengasse 1, D-69117 Heidelberg, Germany
[3] Univ Toronto, 10 Kings Coll Rd, Toronto, ON, Canada
[4] China Univ Geosci, 388 Lumo Rd, Wuhan, Hubei, Peoples R China
来源：
ACM COMPUTING SURVEYS | 2019年 / 52卷 / 03期
关键词：
Indoor positioning; spatial information; sensory landmarks; landmark detection; wireless localization; hybrid localization; smartphones; POSITIONING SYSTEMS; NAVIGATION; LOCATION; TRACKING; REAL; ALGORITHMS; ROBUST; MODEL; CROWD; WIFI;
D O I：
10.1145/3322241
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Indoor localization is essential for healthcare, security, augmented reality gaming, and many other location-based services. There is currently a wealth of relevant literature on indoor localization. This article focuses on recent advances in indoor localization methods that use spatial context to improve the location estimation. Spatial context in the form of maps and spatial models have been used to improve the localization by constraining location estimates in the navigable parts of indoor environments. Landmarks such as doors and corners, which are also one form of spatial context, have proved useful in assisting indoor localization by correcting the localization error. This survey gives a comprehensive review of state-of-the-art indoor localization methods and localization improvement methods using maps, spatial models, and landmarks.
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页数：35
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