Place Lab: Device Positioning Using Radio Beacons in the Wild

By Anthony LaMarca, Yatin Chawathe, Sunny Consolvo, Jeffrey Hightower, I. Smith, James Scott, Timothy Sohn, James Howard, Jeff Hughes, Fred Potter and 4 more. International Conference on Pervasive Computing, 2005

1,121 citations recorded by the source corpus.

Subfields: Computer Science Applications, Electrical and Electronic Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/9844308775fdac20595bfeb6ac23e1e18a20083f

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Citations in the corpus

Cooperative Localization in Wireless Networks (2009, methodology): “RADAR, based on WiFi fingerprinting at multiple anchors [82]; PlaceLab, using connectivity from 802.11 access points; and GSM base stations [ 83 ] employ centralized, absolute, and noncooperative approaches.”
Practical Metropolitan-Scale Positioning for GSM Phones (2006, methodology): “The four papers most related to this work are follows: LaMarca et al [9] presents an overview of Place Lab, with experiments that are appropriate to study WiFi positioning accuracy, but not sufficient for characterizing GSM.”
Redpin - adaptive, zero-configuration indoor localization through user collaboration (2008, methodology): “Academic systems that have been made publicly available like Place Lab [19] on the other hand are not easy to setup3 and require one to train the system afterwards.”
Towards IP geolocation using delay and topology measurements (2006, methodology): “…based on end-to-end delay measurements from a set of landmarks, fail to outperform much simpler techniques, and 2) the error of these approaches is strongly determined by the distance to the nearest landmark, even when triangulation is used to combine estimates from different landmarks.”
Indoor location sensing using geo-magnetism (2011, methodology): “The fingerprint method relies on a map of fingerprints (RSSI distribution) of corresponding locations in order to infer location [3, 4, 5].”
A survey of computational location privacy (2009, background): “While GPS and Intel’s Wi-Fi-based Place Lab [32] do not transmit location information, another category of location measurement technologies use third party infrastructure to compute location, e.”
WILL: Wireless indoor localization without site survey (2012, background): “PlaceLab [9] uses radio beacons to localize mobile devices in the wild.”
Do life-logging technologies support memory for the past?: an experimental study using sensecam (2007, methodology): “Cell phone data have also been used to infer human activity after the fact [11, 19] by analyzing location-based data.”
Micro-Blog: sharing and querying content through mobile phones and social participation (2008, methodology): “To understand the energy proﬁle of alternate schemes, we implemented WiFi and GSM based localization, originally proposed in Place Lab [43].”
NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems (2011, methodology): “Even in the case of devices where this information is not currently available, location can be roughly estimated by means of triangulation and cell estimation techniques or by profiling places through the analysis of the MAC addresses advertised by nearby devices and 802.11 access points [ 17 ].”
Pedestrian localisation for indoor environments (2008, background): “We collectthe measurements using thePlacelab2 framework.”
A diary study of mobile information needs (2008, background): “Mobile context research in the past decade has focused heavily on location acquisition [9].”
Mobile Augmented Reality Survey: From Where We Are to Where We Go (2017, background): “A study case showed that GPS usage coverage was much lower than expected [308].”