{"id":"https://openalex.org/W1647720577","doi":"https://doi.org/10.1109/ipin.2014.7275539","title":"Motion model for positioning with graph-based indoor map","display_name":"Motion model for positioning with graph-based indoor map","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1647720577","doi":"https://doi.org/10.1109/ipin.2014.7275539","mag":"1647720577"},"language":"en","primary_location":{"id":"doi:10.1109/ipin.2014.7275539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin.2014.7275539","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048685188","display_name":"Henri Nurminen","orcid":"https://orcid.org/0000-0003-0949-8848"},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Henri Nurminen","raw_affiliation_strings":["Tampere University of Technology, Tampere, Finland","Tampere University of Technology , Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]},{"raw_affiliation_string":"Tampere University of Technology , Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053302106","display_name":"Mike Koivisto","orcid":"https://orcid.org/0000-0002-7677-6951"},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Mike Koivisto","raw_affiliation_strings":["Tampere University of Technology, Tampere, Finland","Tampere University of Technology , Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]},{"raw_affiliation_string":"Tampere University of Technology , Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075406208","display_name":"Simo Ali\u2010L\u00f6ytty","orcid":"https://orcid.org/0000-0002-6720-7722"},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Simo Ali-Loytty","raw_affiliation_strings":["Tampere University of Technology, Tampere, Finland","Tampere University of Technology , Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]},{"raw_affiliation_string":"Tampere University of Technology , Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002638646","display_name":"Robert Pich\u00e9","orcid":"https://orcid.org/0000-0003-1158-6951"},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Robert Piche","raw_affiliation_strings":["Tampere University of Technology, Tampere, Finland","Tampere University of Technology , Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]},{"raw_affiliation_string":"Tampere University of Technology , Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210133110"],"apc_list":null,"apc_paid":null,"fwci":1.2776,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81879666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"646","last_page":"655"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9753999710083008,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6322214007377625},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5700494647026062},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5664258599281311},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.5650988221168518},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5503638386726379},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5273688435554504},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4740602374076843},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4302862286567688},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3883047103881836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38470354676246643},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.26549869775772095},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2421310842037201}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6322214007377625},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5700494647026062},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5664258599281311},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.5650988221168518},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5503638386726379},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5273688435554504},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4740602374076843},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4302862286567688},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3883047103881836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38470354676246643},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.26549869775772095},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2421310842037201},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ipin.2014.7275539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin.2014.7275539","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","raw_type":"proceedings-article"},{"id":"pmh:oai:trepo.tuni.fi:10024/212863","is_oa":false,"landing_page_url":"https://trepo.tuni.fi/handle/10024/212863","pdf_url":null,"source":{"id":"https://openalex.org/S7407055260","display_name":"Trepo - Institutional Repository of Tampere University","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W88520345","https://openalex.org/W1513008779","https://openalex.org/W1521056518","https://openalex.org/W1790231888","https://openalex.org/W1979511389","https://openalex.org/W1985136185","https://openalex.org/W2012957748","https://openalex.org/W2016893214","https://openalex.org/W2033548075","https://openalex.org/W2038791641","https://openalex.org/W2050374176","https://openalex.org/W2074641908","https://openalex.org/W2105006295","https://openalex.org/W2112252853","https://openalex.org/W2118975298","https://openalex.org/W2118991694","https://openalex.org/W2122307358","https://openalex.org/W2141080987","https://openalex.org/W2142815413","https://openalex.org/W2158008371","https://openalex.org/W2158955189","https://openalex.org/W2161420356","https://openalex.org/W2277401045","https://openalex.org/W4232464081","https://openalex.org/W6675476710","https://openalex.org/W6694886560"],"related_works":["https://openalex.org/W1518185400","https://openalex.org/W3200586296","https://openalex.org/W4230332972","https://openalex.org/W1998033311","https://openalex.org/W4247322236","https://openalex.org/W4231165741","https://openalex.org/W1762272577","https://openalex.org/W4206960768","https://openalex.org/W4229899156","https://openalex.org/W2158247860"],"abstract_inverted_index":{"This":[0,25],"article":[1],"presents":[2],"a":[3,16,33,40,44],"training-free":[4],"probabilistic":[5],"pedestrian":[6],"motion":[7,110,116],"model":[8,111,117,156],"that":[9,20,134,149],"uses":[10],"indoor":[11],"map":[12],"information":[13],"represented":[14],"as":[15,32,39],"set":[17],"of":[18,27,50,65,138,150],"links":[19,106],"are":[21,54,93,166],"connected":[22],"by":[23,69],"nodes.":[24],"kind":[26],"structure":[28],"can":[29,77,87],"be":[30,78,88,160],"modelled":[31],"graph.":[34],"In":[35],"the":[36,47,51,57,62,66,71,83,101,105,108,124,128,135,139,151],"proposed":[37],"model,":[38],"position":[41,164],"estimate":[42],"reaches":[43],"link":[45,53,59,73],"end,":[46],"choice":[48],"probabilities":[49],"next":[52],"proportional":[55],"to":[56,123,159],"total":[58,63],"lengths":[60,64],"(TLL),":[61],"subgraphs":[67],"accessible":[68],"choosing":[70],"considered":[72],"alternative.":[74],"The":[75,114,154],"TLLs":[76],"computed":[79],"off-line":[80],"using":[81],"only":[82],"graph,":[84],"and":[85],"they":[86],"updated":[89],"if":[90,163],"training":[91],"data":[92],"available.":[94],"A":[95],"particle":[96],"filter":[97],"in":[98,144],"which":[99],"all":[100],"particles":[102],"move":[103],"on":[104],"following":[107],"TLL-based":[109,115,155],"is":[112,141,157],"formulated.":[113],"has":[118],"advantageous":[119,161],"theoretical":[120],"properties":[121],"compared":[122],"conventional":[125,152],"models.":[126],"Furthermore,":[127],"real-data":[129],"WLAN":[130],"positioning":[131,136],"tests":[132],"show":[133],"accuracy":[137],"algorithm":[140],"similar":[142],"or":[143,171],"many":[145],"cases":[146],"better":[147],"than":[148],"algorithms.":[153],"found":[158],"especially":[162],"measurements":[165],"used":[167],"infrequently,":[168],"with":[169],"10-second":[170],"more":[172],"time":[173],"intervals.":[174]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}