A Survey of Selected Indoor Positioning Methods for Smartphones

By Pavel Davidson, Robert Piché. IEEE Communications Surveys and Tutorials, 2017

471 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/a8c474f385a94dd37814f5da56b88382606a0a59

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Paul Patras
2. Kin Kwong Leung
3. Hamed Haddadi
4. Faheem Zafari
5. Athanasios Gkelias
6. Chaoyun Zhang

In Electrical and Electronic Engineering

1. Paul Patras
2. Kin Kwong Leung
3. Carlo Fischione
4. Hamed Haddadi
5. Faheem Zafari
6. Athanasios Gkelias
7. Adriano J. C. Moreira
8. Lauri Wirola

In Ocean Engineering

1. Paul Patras
2. Kin Kwong Leung
3. Carlo Fischione
4. Hamed Haddadi
5. Faheem Zafari
6. Athanasios Gkelias
7. Adriano J. C. Moreira
8. Lauri Wirola

Citations in the corpus

• A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation (2018, methodology): “The work in [22] focused on localization methods with the use of measurements available on smartphones.”
• A Survey of Indoor Localization Systems and Technologies (2017, methodology): “Furthermore, most of the existing surveys are specific to a certain domain (such as [18] deals with smartphone based”
• Deep Learning in Mobile and Wireless Networking: A Survey (2018, background): “As a result, research on user localization is evolving rapidly, cultivating a set of emerging positioning techniques [246].”
• Location based services: ongoing evolution and research agenda (2018, methodology): “Bluetooth Low Energy (BLE) beacons, such as Apple ’ s iBeacon, Google ’ s URIBeacon and Eddystone, and Radius Networks ’ AltBeacon, are also often employed for indoor positioning, using their ‘ proximity ’ mode (Davidson and Piche 2017).”