{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T01:09:12Z","timestamp":1760404152418,"version":"build-2065373602"},"reference-count":22,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2016,8,16]],"date-time":"2016-08-16T00:00:00Z","timestamp":1471305600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Spanish Ministry of Economy and Competitiveness, ESPHIA Project","award":["TIN2014-56042-JIN"],"award-info":[{"award-number":["TIN2014-56042-JIN"]}]},{"name":"Erasmus Mundos, Avempace II Project","award":["2012 \u2013 2622\/001 \u2013 001 \u2013 EMA2"],"award-info":[{"award-number":["2012 \u2013 2622\/001 \u2013 001 \u2013 EMA2"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In this paper, we present an offline map matching technique designed for indoor localization systems based on conditional random fields (CRF). The proposed algorithm can refine the results of existing indoor localization systems and match them with the map, using loose coupling between the existing localization system and the proposed map matching technique. The purpose of this research is to investigate the efficiency of using the CRF technique in offline map matching problems for different scenarios and parameters. The algorithm was applied to several real and simulated trajectories of different lengths. The results were then refined and matched with the map using the CRF algorithm.<\/jats:p>","DOI":"10.3390\/s16081302","type":"journal-article","created":{"date-parts":[[2016,8,16]],"date-time":"2016-08-16T10:03:21Z","timestamp":1471341801000},"page":"1302","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Conditional Random Field-Based Offline Map Matching for Indoor Environments"],"prefix":"10.3390","volume":"16","author":[{"given":"Safaa","family":"Bataineh","sequence":"first","affiliation":[{"name":"Faculty of Engineering, University of Deusto, Av. Universidades, 24, Bilbao 48007, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3370-3338","authenticated-orcid":false,"given":"Alfonso","family":"Bahillo","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, University of Deusto, Av. Universidades, 24, Bilbao 48007, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luis","family":"D\u00edez","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, University of Deusto, Av. Universidades, 24, Bilbao 48007, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9581-1823","authenticated-orcid":false,"given":"Enrique","family":"Onieva","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, University of Deusto, Av. Universidades, 24, Bilbao 48007, Spain"},{"name":"DeustoTech-Fundaci\u00f3n Deusto, Fundaci\u00f3n Deusto, Av. 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Eng."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1016\/j.trc.2007.05.002","article-title":"Current map matching algorithms for transport applications: State-of-the art and future research directions","volume":"15","author":"Quddus","year":"2007","journal-title":"Transp. Res. C Emerg. Technol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1109\/78.978374","article-title":"A tutorial on particle filters for online nonlinear\/non-Gaussian Bayesian tracking","volume":"50","author":"Arulampalam","year":"2002","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_5","unstructured":"Davidson, P., Collin, J., and Takala, J. (2010). Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS), IEEE."},{"key":"ref_6","unstructured":"Klepal, M., and Pesch, D. (2007, January 17\u201319). A bayesian approach for rf-based indoor localization. Proceedings of the 4th International Symposium on Wireless Communication Systems ISWCS, Trondheim, Norway."},{"key":"ref_7","unstructured":"Klepal, M., and Beauregard, S. (2008, January 27). A backtracking particle filter for fusing building plans with PDR displacement estimates. Proceedings of the 5th Workshop on Positioning, Navigation and Communication WPNC, Hannover, Germany."},{"key":"ref_8","unstructured":"Klinger, R., and Tomanek, K. (2007). Classical Probabilistic Models and Conditional Random Fields, Algorithm Engineering TU."},{"key":"ref_9","unstructured":"Lafferty, J., McCallum, A., and Pereira, F.C. (July, January 28). Conditional random fields: Probabilistic models for segmenting and labeling sequence data. Proceedings of the 18th International Conference on Machine Learning, Williamstown, MA, USA."},{"key":"ref_10","unstructured":"Ramos, F.T., Fox, D., and Durrant-Whyte, H.F. (2007). Robotics: Science and Systems III, MIT Press."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1007\/s12544-009-0013-6","article-title":"An off-line map matching algorithm for incomplete map databases","volume":"1","author":"Pereira","year":"2009","journal-title":"Eur. Tranp. Res. Rev."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Xiao, Z., Wen, H., Markham, A., and Trigoni, N. (2014, January 15\u201317). Lightweight map matching for indoor localization using conditional random fields. Proceedings of the 13th International Symposium on Information Processing in Sensor Networks IPSN-14, Berlin, Germany.","DOI":"10.1109\/IPSN.2014.6846747"},{"key":"ref_13","first-page":"717095","article-title":"Map Matching Based on Conditional Random Fields and Route Preference Mining for Uncertain Trajectories","volume":"2015","author":"Xu","year":"2015","journal-title":"Math. Probl. Eng."},{"key":"ref_14","unstructured":"Lamarche, F., and Donikian, S. (2014). Computer Graphics Forum, Blackwell Publishing, Inc."},{"key":"ref_15","unstructured":"Drawing Interchange and File Formats, Release 12. Available online: http:\/\/cnc25.free.fr\/documentation\/format_dxf\/dxf.pdf."},{"key":"ref_16","unstructured":"Autodesk, Inc. (n.d.) Drawing Interchange File Formats. Available online: http:\/\/www.autodesk.com\/techpubs\/autocad\/acadr14\/dxf\/drawing_interchange_file_formats.htm."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Sch\u00e4fer, M., Knapp, C., and Chakraborty, S. (2011, January 21\u201323). Automatic generation of topological indoor maps for real-time map-based localization and tracking. Proceedings of the 2011 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Guimaraes, Portugal.","DOI":"10.1109\/IPIN.2011.6071951"},{"key":"ref_18","first-page":"841","article-title":"On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes","volume":"14","author":"Jordan","year":"2002","journal-title":"Adv. Neural Inform. Process. Syst."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1109\/PROC.1973.9030","article-title":"The viterbi algorithm","volume":"Volume 61","author":"Forney","year":"1973","journal-title":"Proceedings of the IEEE"},{"key":"ref_20","unstructured":"Elsevier Health Sciences Moderate Intensity Walking Means 100 Steps Per Minute. Available online: www.sciencedaily.com\/releases\/2009\/03\/090317094719.htm."},{"key":"ref_21","unstructured":"Determine Your Stride. Available online: https:\/\/cdn.shopify.com\/s\/files\/1\/0196\/4616\/files\/Soleus-determing_your_stride.pdf."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Diez, L.E., Bahillo, A., Bataineh, S., and Masegosa, A.D. (2016, January 15\u201318). Enhancing Improved Heuristic Drift Elimination for Wrist-Worn PDR Systems in Buildings. Proceedings of the IEEE Vehicular Technology Conference, Nanjing, China.","DOI":"10.1109\/VTCFall.2016.7881001"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/16\/8\/1302\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:28:31Z","timestamp":1760210911000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/16\/8\/1302"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,8,16]]},"references-count":22,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2016,8]]}},"alternative-id":["s16081302"],"URL":"https:\/\/doi.org\/10.3390\/s16081302","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2016,8,16]]}}}