{"id":"https://openalex.org/W2904481132","doi":"https://doi.org/10.1109/geoinformatics.2018.8557040","title":"Reference Points Density Invariant Map Matching for Wi-Fi Fingerprinting Positioning","display_name":"Reference Points Density Invariant Map Matching for Wi-Fi Fingerprinting Positioning","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2904481132","doi":"https://doi.org/10.1109/geoinformatics.2018.8557040","mag":"2904481132"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2018.8557040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2018.8557040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th International Conference on Geoinformatics","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/A5000089187","display_name":"Xiaoping Zheng","orcid":"https://orcid.org/0000-0002-7556-130X"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoping Zheng","raw_affiliation_strings":["Faculty of Information Engineering, National Engineering Research Center for Geographic Information System, China University of Geoscience, Wuhan, 430074, China","Faculty of Information Engineering, National Engineering Research Center for Geographic Information System, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering, National Engineering Research Center for Geographic Information System, China University of Geoscience, Wuhan, 430074, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"Faculty of Information Engineering, National Engineering Research Center for Geographic Information System, Wuhan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067702601","display_name":"Chen Pan","orcid":"https://orcid.org/0000-0002-1296-9770"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Chen","raw_affiliation_strings":["Faculty of Information Engineering, National Engineering Research Center for Geographic Information System, China University of Geoscience, Wuhan, 430074, China","Faculty of Information Engineering, National Engineering Research Center for Geographic Information System, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering, National Engineering Research Center for Geographic Information System, China University of Geoscience, Wuhan, 430074, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"Faculty of Information Engineering, National Engineering Research Center for Geographic Information System, Wuhan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100722936","display_name":"Jianga Shang","orcid":"https://orcid.org/0000-0001-7571-8015"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianga Shang","raw_affiliation_strings":["Faculty of Information Engineering, National Engineering Research Center for Geographic Information System, China University of Geoscience, Wuhan, 430074, China","Faculty of Information Engineering, National Engineering Research Center for Geographic Information System, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering, National Engineering Research Center for Geographic Information System, China University of Geoscience, Wuhan, 430074, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"Faculty of Information Engineering, National Engineering Research Center for Geographic Information System, Wuhan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000089187"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13882932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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":1.0,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.992900013923645,"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"}},{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.7278319001197815},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6824331879615784},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5335310697555542},{"id":"https://openalex.org/keywords/stochastic-matrix","display_name":"Stochastic matrix","score":0.5086923241615295},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5084789991378784},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5008766651153564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49951171875},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4826534390449524},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4820302724838257},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4802720546722412},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4603014588356018},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3418487310409546},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25065386295318604},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.123801589012146},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08271268010139465}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7278319001197815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6824331879615784},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5335310697555542},{"id":"https://openalex.org/C49555168","wikidata":"https://www.wikidata.org/wiki/Q176583","display_name":"Stochastic matrix","level":3,"score":0.5086923241615295},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5084789991378784},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5008766651153564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49951171875},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4826534390449524},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4820302724838257},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4802720546722412},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4603014588356018},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3418487310409546},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25065386295318604},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.123801589012146},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08271268010139465},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2018.8557040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2018.8557040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th International Conference on Geoinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1605476884","https://openalex.org/W1908867029","https://openalex.org/W1981373725","https://openalex.org/W1985258161","https://openalex.org/W1991133427","https://openalex.org/W1991294548","https://openalex.org/W1996573126","https://openalex.org/W2100045669","https://openalex.org/W2118055871","https://openalex.org/W2118975298","https://openalex.org/W2166315077","https://openalex.org/W2170102584","https://openalex.org/W2415431271","https://openalex.org/W2508522638","https://openalex.org/W2568684387","https://openalex.org/W2775147633","https://openalex.org/W4231756768","https://openalex.org/W4238530616"],"related_works":["https://openalex.org/W2734729804","https://openalex.org/W2015136492","https://openalex.org/W1968612088","https://openalex.org/W2186430569","https://openalex.org/W2364963676","https://openalex.org/W3041997070","https://openalex.org/W2735388074","https://openalex.org/W4388292488","https://openalex.org/W2351194865","https://openalex.org/W2756643213"],"abstract_inverted_index":{"Wi-Fi":[0],"fingerprinting":[1],"positioning":[2,15,44,116,210],"is":[3,17,36,56,110,117,190],"one":[4],"of":[5,42,48,76,114,124,154,181,195,203,212],"the":[6,20,25,30,32,40,43,46,49,74,77,85,90,95,103,106,112,115,121,125,133,155,162,168,193,196,200,204,209,213],"most":[7],"popular":[8,58],"methods":[9,215],"for":[10,60],"indoor":[11,50,78,100,177],"positioning.":[12],"However,":[13,84],"its":[14],"error":[16,211],"influenced":[18],"by":[19,45,94],"abnormal":[21],"large":[22],"distance":[23,163],"between":[24,105,164],"time-adjacent":[26],"locations.":[27],"To":[28],"tackle":[29],"problem,":[31],"map":[33,61],"matching":[34,62],"method":[35,88,173,189],"used":[37],"to":[38,63,73,139,192],"improve":[39],"precision":[41,113],"constraint":[47],"environment.":[51],"Hidden":[52],"Markov":[53],"model":[54,59],"(HMM)":[55],"a":[57,67,141,175],"treat":[64],"locations":[65],"as":[66],"sequence":[68],"and":[69,81,135,149,199],"refine":[70],"them":[71],"according":[72],"connection":[75],"reference":[79,97,108,126,165,205],"points":[80,98,109],"their":[82],"neighbours.":[83],"traditional":[86,214],"HMM-based":[87],"constructs":[89],"transition":[91,104,143,156],"matrix":[92,144,157],"just":[93],"adjacent":[96,148],"in":[99,174],"environments.":[101],"As":[102],"nonadjacent":[107,150],"forbidden,":[111],"highly":[118],"dependent":[119],"on":[120,161],"interval":[122,201],"size":[123,202],"points.":[127,166],"In":[128,167],"this":[129],"paper,":[130],"we":[131,170],"combine":[132],"long":[134],"short":[136],"distances":[137],"together":[138],"design":[140],"new":[142],"that":[145,187],"considers":[146],"both":[147],"transition.":[151],"The":[152,184],"probabilities":[153],"are":[158],"assigned":[159],"based":[160],"experiment,":[169],"evaluate":[171],"our":[172,188],"complex":[176],"environment,":[178],"which":[179,207],"consists":[180],"various":[182],"regions.":[183],"results":[185],"indicate":[186],"insensitive":[191],"change":[194],"moving":[197],"speed":[198],"points,":[206],"affects":[208],"significantly.":[216]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
