Indoor location sensing using geo-magnetism

By Jaewoo Chung, Matthew Donahoe, C. Schmandt, Ig-Jae Kim, Pedram Razavai, Micaela Wiseman. ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services, 2011

470 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/7acebe70cc7c917d6e0925ab2cacef0a1adb40a7

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Citations in the corpus

Modern WLAN Fingerprinting Indoor Positioning Methods and Deployment Challenges (2016, background): “11 Wireless Local Area Network (WLAN) methods; and (2) non-radio-based positioning methods which utilize infrared (IR) [28], ultrasonic and sound techniques [28]–[34], visible light [35], [36], inertial systems [37], [38] and the geo-magnetic field [39], [40].”
No need to war-drive: unsupervised indoor localization (2012, background): “For instance, inertial sensors can detect when a user is walking, turning into a corridor, or climbing up the stairs [18]; microphones and magnetometers can detect ambient sounds and magnetic fluctuations [14, 19].”
Indoor Tracking: Theory, Methods, and Technologies (2015, background): “In fact, anomalies in the ﬁeld caused by magnetic disturbances, typically present in indoor environments, can be used as a ﬁngerprint [25].”
CSI-Based Fingerprinting for Indoor Localization: A Deep Learning Approach (2016, background): “GSM [27], light [28], and magnetism [29], where WiFi-based fingerprinting is the dominant method because WiFi signal is ubiquitous in indoor environments.”
FM-based indoor localization (2012, unknown): “investigated indoor localization with geo-magnetic sensors [5].”
Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons (2016, background): “ultrasound or sound [11], [12], light [13], [14], magnetic field [15], [16], etc.”
A reliable and accurate indoor localization method using phone inertial sensors (2012, background): “Because of the lack of reliable GPS signals inside a building, researchers have explored the use of WiFi beacons [2, 27], magnetometer [6], vision [10], or ultrasound [24], to name a few, for coarse level indoor positioning.”
A realistic evaluation and comparison of indoor location technologies: experiences and lessons learned (2015, background): “Infrastructure-free approaches have focused on leveraging already existing WiFi [5, 15, 49, 40, 41, 45, 6, 22, 47, 50], FM and TV [8, 9, 34, 28, 29, 27, 12, 33, 19, 48], GSM [31, 44], geo-magnetic [10], and sound signals [43] to enable indoor localization through detailed fingerprinting.”
Epsilon: A Visible Light Based Positioning System (2014, background): “Most existing localization work leverages signals such as WiFi [3, 6, 20, 21, 23], FM [5], magnetism [7].”
Mobile Augmented Reality Survey: From Where We Are to Where We Go (2017, methodology): “[187] employed a server that contained magnetic fingerprint map to improve accuracy at indoor area.”
WILL: Wireless indoor localization without site survey (2012, unknown): “And [13], [14], [15] utilizes FM Radio, acoustic background spectrum (ABS) and geo-magnetism respectively as fingerprints for indoor location estimation.”
Sentinel: occupancy based HVAC actuation using existing WiFi infrastructure within commercial buildings (2013, background): “speakers [37], WiFi [15, 50, 20], geo-magnetism [21], HVAC ductwork [41], or a combination of these [49].”
Magicol: Indoor Localization Using Pervasive Magnetic Field and Opportunistic WiFi Sensing (2015, methodology): “, [13]–[15], [17], [18], [21]–[24]), we include them here for completeness.”