{"id":"https://openalex.org/W4400276117","doi":"https://doi.org/10.1109/wcnc57260.2024.10570513","title":"Heterogeneous Feature Fusion Approach for Multi-Modal Indoor Localization","display_name":"Heterogeneous Feature Fusion Approach for Multi-Modal Indoor Localization","publication_year":2024,"publication_date":"2024-04-21","ids":{"openalex":"https://openalex.org/W4400276117","doi":"https://doi.org/10.1109/wcnc57260.2024.10570513"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc57260.2024.10570513","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wcnc57260.2024.10570513","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5110164232","display_name":"Junyi Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyi Zhou","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University,Shanghai,China,200444"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University,Shanghai,China,200444","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070372241","display_name":"Kaixuan Huang","orcid":"https://orcid.org/0000-0002-1208-928X"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaixuan Huang","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University,Shanghai,China,200444"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University,Shanghai,China,200444","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041832591","display_name":"Siyu Tang","orcid":"https://orcid.org/0009-0000-2212-9276"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyu Tang","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University,Shanghai,China,200444"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University,Shanghai,China,200444","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019052479","display_name":"Shunqing Zhang","orcid":"https://orcid.org/0000-0002-5156-9235"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunqing Zhang","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University,Shanghai,China,200444"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University,Shanghai,China,200444","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9912999868392944,"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":0.9912999868392944,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9423999786376953,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9415000081062317,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/modal","display_name":"Modal","score":0.7567270994186401},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.685590386390686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6175522804260254},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5813759565353394},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4575570821762085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38079315423965454},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32789716124534607},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.12978783249855042}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.7567270994186401},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.685590386390686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6175522804260254},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5813759565353394},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4575570821762085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38079315423965454},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32789716124534607},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.12978783249855042},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc57260.2024.10570513","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wcnc57260.2024.10570513","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1986149296","https://openalex.org/W2149690045","https://openalex.org/W2343107556","https://openalex.org/W2752709290","https://openalex.org/W2782386559","https://openalex.org/W2789600386","https://openalex.org/W2921530591","https://openalex.org/W2964029185","https://openalex.org/W3100676321","https://openalex.org/W3125133781","https://openalex.org/W3131461523","https://openalex.org/W3138197200","https://openalex.org/W4220947191","https://openalex.org/W4226208255","https://openalex.org/W4246193833","https://openalex.org/W4281730790","https://openalex.org/W4292347911","https://openalex.org/W4294811324","https://openalex.org/W4312280188","https://openalex.org/W4312356563","https://openalex.org/W4385800924","https://openalex.org/W6784910987"],"related_works":["https://openalex.org/W2379392295","https://openalex.org/W3160965418","https://openalex.org/W613940353","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W4386159726","https://openalex.org/W2353265673","https://openalex.org/W2031175860","https://openalex.org/W2152662039"],"abstract_inverted_index":{"The":[0],"demand":[1],"for":[2,30,41],"high-precision":[3,69],"localization":[4,42,71,119,133,138],"con-tinues":[5],"to":[6],"grow":[7],"rapidly":[8],"with":[9],"the":[10,27,45,76,94,100],"development":[11],"of":[12,54,79,96,140],"information":[13],"technology.":[14],"Localization":[15],"techniques":[16],"based":[17,108],"on":[18,109],"wireless":[19],"signals":[20],"and":[21,33,56,82],"visible":[22],"light":[23],"images":[24],"have":[25],"become":[26],"mainstream":[28],"approach":[29],"achieving":[31,135],"accurate":[32],"precise":[34],"localization.":[35],"However,":[36],"directly":[37],"utilizing":[38],"multi-modal":[39,101,110],"data":[40],"often":[43],"overlooks":[44],"complex":[46],"relationships":[47],"between":[48],"different":[49,80],"modalities,":[50],"particularly":[51],"in":[52],"terms":[53],"spatial":[55],"temporal":[57],"features":[58,84,98],"at":[59],"varying":[60],"scales.":[61],"In":[62],"this":[63],"paper,":[64],"we":[65,103],"present":[66],"a":[67,87,105,125],"novel":[68],"indoor":[70],"method":[72],"that":[73,112],"effectively":[74,113],"aligns":[75],"spatiotemporal":[77],"dimensions":[78],"modalities":[81],"extracts":[83],"efficiently":[85],"using":[86,124],"shared":[88],"neural":[89],"network.":[90],"To":[91],"further":[92],"enhance":[93],"extraction":[95],"relevant":[97],"from":[99],"data,":[102],"propose":[104],"fusion":[106],"network":[107],"channels":[111],"minimize":[114],"disparities,":[115],"thereby":[116],"significantly":[117],"improving":[118],"accuracy.":[120],"Through":[121],"extensive":[122],"verification":[123],"prototype":[126],"system,":[127],"our":[128],"pro-posed":[129],"solution":[130],"demonstrates":[131],"outstanding":[132],"accuracy,":[134],"an":[136],"average":[137],"error":[139],"only":[141],"0.22m.":[142]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
