Titlebook: Location- and Context-Awareness; Second International Mike Hazas,John Krumm,Thomas Strang Conference proceedings 2006 Springer-Verlag Berli

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Cluster Tagging: Robust Fiducial Tracking for Smart Environmentstermination, better performance when attached to inconvenient shapes, and an ability to encode more than a database key into the environment. A real world example comparing the positioning capabilities of a cluster of tags with that of a single tag is presented. It is apparent that clustering provid

GLOOM

Automatic Mitigation of Sensor Variations for Signal Strength Based Location Systemsness of a specific combination of hardware and software is proposed. Second, an automatic system for adapting an indoor localization system based on signal strength to the specific hardware and software of a wireless network client is proposed. The two contributions can then be used together to eith

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Anonymous User Tracking for Location-Based Community Servicesth respect to the location provider, which collects the position fixes, or the LBS provider. The paper also presents the results of simulations, which we have performed in order to evaluate the proposed mechanism.

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dithiolethione

Nomatic: Location By, For, and Of Crowdstheir context disclosure. We then analyze some preliminary data from an early deployment. Finally we show how leveraging these mass-collaborations could help to improve Nomatic*Gaim by allowing it to infer position to place mappings.

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