Robust probabilistic positioning based on high-level sensor-fusion and map knowledge

Open access
Date
2003Type
- Report
ETH Bibliography
yes
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Abstract
Location information as a piece of context is considered to be of particular interest to ubiquitous computing applications. In this work, we present a probabilistic positioning service that employs an available ubiquitous computing infrastructure for the localization of mobile devices. The service draws on various heterogeneous sensors that serve as sources of location information. Data from these sources are transformed independently of each other into an abstract representation of location estimates. By means of a probabilistic fusion process, these estimates are then combined into a single position value. The quality of the result increases with the number of available sensors. Also, since the fusion procedure is not depending on the type and number of available sensors, failures of single sensors or sensor types can be tolerated. Show more
Permanent link
https://doi.org/10.3929/ethz-a-006714680Publication status
publishedJournal / series
Technical Report / ETH Zurich, Department of Computer ScienceVolume
Publisher
ETH, Swiss Federal Institute of Technology, Institute for Pervasive ComputingSubject
DRAHTLOSE SENSORNETZWERKE (NACHRICHTENTECHNIK); PERVASIVE COMPUTING + UBIQUITOUS COMPUTING (COMPUTER SYSTEMS); NETZWERKÜBERWACHUNG + NETZWERKADMINISTRATION (COMPUTERSYSTEME); NETWORK MONITORING (COMPUTER SYSTEMS); PERVASIVE COMPUTING + UBIQUITOUS COMPUTING (COMPUTERSYSTEME); WIRELESS SENSOR NETWORKS, WSN (TELECOMMUNICATIONS)Organisational unit
02150 - Dep. Informatik / Dep. of Computer Science03528 - Mattern, Friedemann (emeritus) / Mattern, Friedemann (emeritus)
Notes
Technical Reports D-INFK.More
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ETH Bibliography
yes
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