Proceedings of the Third ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data 2012
DOI: 10.1145/2442985.2442991
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Uncertainty handling in navigation services using rough and fuzzy set theory

Abstract: Navigation services, such as used in cars, are widely used nowadays. Many applications, positioning technologies and techniques have been developed to make navigation systems easier to use. However current navigation systems suffer from different aspects of uncertainty such as incomplete or inaccurate positional data. This paper reviews aspects of uncertainty which should be considered when developing navigation systems. A proposed approach, based on rough set and fuzzy set theories, is explained and implement… Show more

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Cited by 9 publications
(3 citation statements)
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“…The importance of landmarks for pedestrian navigation and wayfinding instructions is proved by many researches (Hung,. 2012), (Michon and Denis, 2001), (Denis, 2003), (Basiri et al, 2012) and (Raubal and winter, 2002).…”
Section: Landmark-based Pedestrian Navigationmentioning
confidence: 99%
“…The importance of landmarks for pedestrian navigation and wayfinding instructions is proved by many researches (Hung,. 2012), (Michon and Denis, 2001), (Denis, 2003), (Basiri et al, 2012) and (Raubal and winter, 2002).…”
Section: Landmark-based Pedestrian Navigationmentioning
confidence: 99%
“…INS, Camera-based, passive and Bluetooth positioning need infrastructure development which might not be available in all places and also in some cases are not cheap. It seems that mobile network position such as TDOA is one of the best alternatives [38].…”
Section: B Fitness-to-purpose Analysismentioning
confidence: 99%
“…Pedestrians can easily go into buildings as well as streets so an ideal navigation system should work seamlessly in and out of doors. Seamless indoor and outdoor navigation is one of the most important features which should be handled in a pedestrian navigation application and is still a topic of many research projects [2][3][4][5][6].…”
Section: Introductionmentioning
confidence: 99%