Spatial uncertainty management in pedestrian navigation
Location-based services use location as contextual data to exclude irrelevant services from users. However almost all positioning technologies can only provide a location with a certain degree of accuracy. It is necessary to have a framework which can handle this inaccuracy and other uncertainties i...
| Main Authors: | , , , , |
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| Format: | Book Section |
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Springer International Publishing
2014
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| Online Access: | https://eprints.nottingham.ac.uk/33486/ |
| _version_ | 1848794641209491456 |
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| author | Basiri, Anahid Amirian, Pouria Winstanley, Adam Moore, Terry Hill, Chris |
| author2 | Liu, Chun |
| author_facet | Liu, Chun Basiri, Anahid Amirian, Pouria Winstanley, Adam Moore, Terry Hill, Chris |
| author_sort | Basiri, Anahid |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Location-based services use location as contextual data to exclude irrelevant services from users. However almost all positioning technologies can only provide a location with a certain degree of accuracy. It is necessary to have a framework which can handle this inaccuracy and other uncertainties in order to provide a better and more adaptive service. In addition to positioning inaccuracy, location-based services can suffer from other aspects of uncertainty, such as data incompleteness and inconsistency. There is no universal positioning technique which can provide the position of the user seamlessly indoors and outdoors with an acceptable degree of accuracy. Consequently, it is possible to lose the position of the user for a period of time. To avoid this, some systems use more than one positioning technology, each having incomplete datasets; however they still may produce mutually inconsistent data. If an uncertain spatial dataset is stored and analysed in a framework which cannot handle uncertainty, some aspects of the input data may be missed and the outcome may not be fully applicable in real world applications. This chapter aims at developing a rough set-theory-based navigation application which can provide navigational instructions to users by taking spatial uncertainty into account. |
| first_indexed | 2025-11-14T19:19:25Z |
| format | Book Section |
| id | nottingham-33486 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:19:25Z |
| publishDate | 2014 |
| publisher | Springer International Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-334862020-05-04T16:50:59Z https://eprints.nottingham.ac.uk/33486/ Spatial uncertainty management in pedestrian navigation Basiri, Anahid Amirian, Pouria Winstanley, Adam Moore, Terry Hill, Chris Location-based services use location as contextual data to exclude irrelevant services from users. However almost all positioning technologies can only provide a location with a certain degree of accuracy. It is necessary to have a framework which can handle this inaccuracy and other uncertainties in order to provide a better and more adaptive service. In addition to positioning inaccuracy, location-based services can suffer from other aspects of uncertainty, such as data incompleteness and inconsistency. There is no universal positioning technique which can provide the position of the user seamlessly indoors and outdoors with an acceptable degree of accuracy. Consequently, it is possible to lose the position of the user for a period of time. To avoid this, some systems use more than one positioning technology, each having incomplete datasets; however they still may produce mutually inconsistent data. If an uncertain spatial dataset is stored and analysed in a framework which cannot handle uncertainty, some aspects of the input data may be missed and the outcome may not be fully applicable in real world applications. This chapter aims at developing a rough set-theory-based navigation application which can provide navigational instructions to users by taking spatial uncertainty into account. Springer International Publishing Liu, Chun 2014-07-15 Book Section PeerReviewed Basiri, Anahid, Amirian, Pouria, Winstanley, Adam, Moore, Terry and Hill, Chris (2014) Spatial uncertainty management in pedestrian navigation. In: Principle and application progress in location-based services. Lecture notes in geoinformation and cartography . Springer International Publishing, Cham, Swtizerland, pp. 343-355. ISBN 978-3-319-04028-8 Location-based services (LBS); navigation services; uncertainty positioning technologies http://dx.doi.org/10.1007/978-3-319-04028-8_23 doi:10.1007/978-3-319-04028-8_23 doi:10.1007/978-3-319-04028-8_23 |
| spellingShingle | Location-based services (LBS); navigation services; uncertainty positioning technologies Basiri, Anahid Amirian, Pouria Winstanley, Adam Moore, Terry Hill, Chris Spatial uncertainty management in pedestrian navigation |
| title | Spatial uncertainty management in pedestrian navigation |
| title_full | Spatial uncertainty management in pedestrian navigation |
| title_fullStr | Spatial uncertainty management in pedestrian navigation |
| title_full_unstemmed | Spatial uncertainty management in pedestrian navigation |
| title_short | Spatial uncertainty management in pedestrian navigation |
| title_sort | spatial uncertainty management in pedestrian navigation |
| topic | Location-based services (LBS); navigation services; uncertainty positioning technologies |
| url | https://eprints.nottingham.ac.uk/33486/ https://eprints.nottingham.ac.uk/33486/ https://eprints.nottingham.ac.uk/33486/ |