Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/101901
Title: RobustPathFinder: Handling Uncertainty in Indoor Positioning Techniques
Authors: Cecílio, José 
Duarte, Karen 
Martins, Pedro 
Furtado, Pedro 
Keywords: Indoor Positioning; Location; Positioning Algorithms; Wireless Sensors; Beacons; RSSI
Issue Date: 2018
metadata.degois.publication.title: Procedia Computer Science
metadata.degois.publication.volume: 130
Abstract: Indoor navigation technologies rely on accurately determining the position of a moving person or robot to guide her actively through the building. This cannot be done using GPS because it is indoors. We have been dealing with this problem in the context of designing and building a system for helping blind people navigate in public buildings. However, indoor localization based on RSSI is not very accurate, since the quality of the signal is influenced by many factors that include, for instance, wall reflections or people passing by. The fact that the person is moving also introduces several degrees of uncertainty, including a changing number and placement of beacons in-range. The challenge is therefore to develop mechanisms to handle uncertainty. In this paper we propose and evaluate uncertainty-handling mechanisms
URI: https://hdl.handle.net/10316/101901
ISSN: 18770509
DOI: 10.1016/j.procs.2018.04.061
Rights: openAccess
Appears in Collections:I&D CISUC - Artigos em Revistas Internacionais

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