Redpin - adaptive, zero-configuration indoor localization through user collaboration

By Philipp Bolliger. MELT '08, 2008

294 citations recorded by the source corpus.

How researchers see this paper

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

A Survey of Indoor Localization Systems and Technologies (2017, background): “Bolliger [127] propose Redpin that relies on fingerprints of”
A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation (2018, methodology): “…subsequently by several systems, including Herecast [97] where users contribute by sporadically reporting their location at room level using a simple laptop application, Redpin [98] where users train the system while using it in a collaborative fashion, and more recently SmartCampusAAU [99].”
Indoor Positioning Technologies (2012, methodology): “In order to make the creation of radio maps economically efficient, Bolliger (2008), Park et al. (2010) and Hansen et al.”
Sub-meter indoor localization in unmodified environments with inexpensive sensors (2010, background): “Localization with signal-strength mechanisms such as WiFi have been studied in the literature as well [17], [18], [19], [20], [21], including systems that bootstrap automatically without an explicit mapmaking step [22], [23].”