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Spatial Algorithms Syst."],"published-print":{"date-parts":[[2021,6,30]]},"abstract":"<jats:p>\n            <jats:italic>Internet-based Indoor Navigation (IIN)<\/jats:italic>\n            architectures organize signals collected by crowdsourcers in\n            <jats:italic>Fingerprint Maps (FMs)<\/jats:italic>\n            to improve localization given that satellite-based technologies do not operate accurately in indoor spaces where people spend 80%\u201390% of their time. In this article, we study the\n            <jats:italic>Quality-of-Position (QoP)<\/jats:italic>\n            assessment problem, which aims to assess in an offline manner the localization accuracy that can be obtained by a user that aims to localize using a FM. Particularly, our proposed\n            <jats:italic>ACCES<\/jats:italic>\n            framework uses a generic interpolation method using\n            <jats:italic>Gaussian Processes<\/jats:italic>\n            (GP), upon which a\n            <jats:italic>navigability score<\/jats:italic>\n            at any location is derived using the\n            <jats:italic>Cramer-Rao Lower Bound<\/jats:italic>\n            (CRLB). We derive adaptations of ACCES for both Magnetic and Wi-Fi data and implement a complete visual assessment environment, which has been incorporated in the Anyplace open-source IIN. Our experimental evaluation of ACCES in Anyplace suggests the high qualitative and quantitative benefits of our propositions.\n          <\/jats:p>","DOI":"10.1145\/3433026","type":"journal-article","created":{"date-parts":[[2021,1,30]],"date-time":"2021-01-30T11:11:28Z","timestamp":1612005088000},"page":"1-32","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Indoor Quality-of-position Visual Assessment Using Crowdsourced Fingerprint Maps"],"prefix":"10.1145","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2907-7488","authenticated-orcid":false,"given":"Christos","family":"Laoudias","sequence":"first","affiliation":[{"name":"University of Cyprus, Nicosia, Cyprus"}]},{"given":"Artyom","family":"Nikitin","sequence":"additional","affiliation":[{"name":"Skoltech, Moscow, Russia"}]},{"given":"Panagiotis","family":"Karras","sequence":"additional","affiliation":[{"name":"Aarhus University, Aarhus, Denmark"}]},{"given":"Moustafa","family":"Youssef","sequence":"additional","affiliation":[{"name":"Alexandria University, Alexandria, Egypt"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7239-2387","authenticated-orcid":false,"given":"Demetrios","family":"Zeinalipour-Yazti","sequence":"additional","affiliation":[{"name":"University of Cyprus, Nicosia, Cyprus"}]}],"member":"320","published-online":{"date-parts":[[2021,1,30]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2899475.2899509"},{"key":"e_1_2_1_2_1","volume-title":"Proceedings of the IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS\u201915)","author":"Akai N.","year":"2015","unstructured":"N. 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