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dc.contributor.authorKuriakose, Bineeth
dc.contributor.authorShrestha, Raju
dc.contributor.authorSandnes, Frode Eika
dc.date.accessioned2022-01-18T10:06:59Z
dc.date.available2022-01-18T10:06:59Z
dc.date.created2021-08-26T10:47:20Z
dc.date.issued2021-08-03
dc.identifier.isbn978-3-030-82195-1
dc.identifier.isbn978-3-030-82196-8
dc.identifier.issn2367-3370
dc.identifier.issn2367-3389
dc.identifier.urihttps://hdl.handle.net/11250/2837858
dc.description.abstractDistance estimation is a key element of a navigation system. Various methods and instruments are used in distance estimation procedures. The methods and instruments used usually depend on the contexts of the application area. This paper compares the accuracy of five practical distance estimation methods that can be used on portable devices. Some of the methods selected for this study have currently not yet been used in the context of navigation systems. The experimental results show that Rule 57 and AR based distance estimation methods hold great potential for the practical application of navigation support as they provide adequate accuracy and computational efficiency.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.ispartofIntelligent Systems and Applications, Proceedings of the 2021 Intelligent Systems Conference (IntelliSys 2021)
dc.relation.ispartofseriesLecture Notes in Networks and Systems;295
dc.subjectDistance estimationsen_US
dc.subjectObject detectionen_US
dc.subjectComputer visionen_US
dc.subjectNavigationen_US
dc.subjectSmartphonesen_US
dc.subjectAssistive technologiesen_US
dc.titleDistance Estimation Methods for Smartphone-Based Navigation Support Systemsen_US
dc.typeConference objecten_US
dc.description.versionacceptedVersionen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltextpostprint
cristin.qualitycode1
dc.identifier.doihttps://doi.org/10.1007/978-3-030-82196-8_49
dc.identifier.cristin1928894
dc.source.journalLecture Notes in Networks and Systemsen_US
dc.source.volume295en_US
dc.source.pagenumber658-673en_US


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