{"id":"https://openalex.org/W2027634408","doi":"https://doi.org/10.1109/upinlbs.2010.5654028","title":"Object correlation evaluation for location data fusion","display_name":"Object correlation evaluation for location data fusion","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2027634408","doi":"https://doi.org/10.1109/upinlbs.2010.5654028","mag":"2027634408"},"language":"en","primary_location":{"id":"doi:10.1109/upinlbs.2010.5654028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/upinlbs.2010.5654028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Ubiquitous Positioning Indoor Navigation and Location Based Service","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/A5054568658","display_name":"Christoph Settgast","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100923","display_name":"Munster Technological University","ror":"https://ror.org/013xpqh61","country_code":"IE","type":"facility","lineage":["https://openalex.org/I4210100923"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Christoph Settgast","raw_affiliation_strings":["Nimbus Centre of Embedded Systems Research, Cork Institute of Technology, Cork, Ireland","[NIMBUS Centre for Embedded Systems Research, Cork Institute of Technology, Ireland]"],"affiliations":[{"raw_affiliation_string":"Nimbus Centre of Embedded Systems Research, Cork Institute of Technology, Cork, Ireland","institution_ids":["https://openalex.org/I4210100923"]},{"raw_affiliation_string":"[NIMBUS Centre for Embedded Systems Research, Cork Institute of Technology, Ireland]","institution_ids":["https://openalex.org/I4210100923"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064084325","display_name":"Martin Klepal","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100923","display_name":"Munster Technological University","ror":"https://ror.org/013xpqh61","country_code":"IE","type":"facility","lineage":["https://openalex.org/I4210100923"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Martin Klepal","raw_affiliation_strings":["Nimbus Centre of Embedded Systems Research, Cork Institute of Technology, Cork, Ireland","[NIMBUS Centre for Embedded Systems Research, Cork Institute of Technology, Ireland]"],"affiliations":[{"raw_affiliation_string":"Nimbus Centre of Embedded Systems Research, Cork Institute of Technology, Cork, Ireland","institution_ids":["https://openalex.org/I4210100923"]},{"raw_affiliation_string":"[NIMBUS Centre for Embedded Systems Research, Cork Institute of Technology, Ireland]","institution_ids":["https://openalex.org/I4210100923"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086566274","display_name":"Maarten Weyn","orcid":"https://orcid.org/0000-0003-1152-6617"},"institutions":[{"id":"https://openalex.org/I141714071","display_name":"Artesis Plantijn Hogeschool Antwerpen","ror":"https://ror.org/0075f1c08","country_code":"BE","type":"education","lineage":["https://openalex.org/I141714071"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Maarten Weyn","raw_affiliation_strings":["Artesis University College, Antwerp, Belgium","Artesis University College of Antwerp, Belgium"],"affiliations":[{"raw_affiliation_string":"Artesis University College, Antwerp, Belgium","institution_ids":["https://openalex.org/I141714071"]},{"raw_affiliation_string":"Artesis University College of Antwerp, Belgium","institution_ids":["https://openalex.org/I141714071"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054568658"],"corresponding_institution_ids":["https://openalex.org/I4210100923"],"apc_list":null,"apc_paid":null,"fwci":0.9021,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.79819385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9865999817848206,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9603000283241272,"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/computer-science","display_name":"Computer science","score":0.7336419820785522},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6302503347396851},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.6276998519897461},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6065894961357117},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6001203656196594},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5689271688461304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5353394746780396},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5193439722061157},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.517623245716095},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5064138174057007},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4722000062465668},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.4589148759841919},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3548525869846344},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15277987718582153},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1324652135372162}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7336419820785522},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6302503347396851},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.6276998519897461},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6065894961357117},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6001203656196594},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5689271688461304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5353394746780396},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5193439722061157},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.517623245716095},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5064138174057007},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4722000062465668},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.4589148759841919},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3548525869846344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15277987718582153},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1324652135372162},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/upinlbs.2010.5654028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/upinlbs.2010.5654028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Ubiquitous Positioning Indoor Navigation and Location Based Service","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1798230567","https://openalex.org/W2055762251","https://openalex.org/W2092060545","https://openalex.org/W2119845561","https://openalex.org/W2142436796","https://openalex.org/W6638371901","https://openalex.org/W6678062122"],"related_works":["https://openalex.org/W4252024964","https://openalex.org/W4253883008","https://openalex.org/W2103761320","https://openalex.org/W2358167375","https://openalex.org/W2031992971","https://openalex.org/W116564642","https://openalex.org/W2132659060","https://openalex.org/W2078821596","https://openalex.org/W1983380679","https://openalex.org/W1981649169"],"abstract_inverted_index":{"In":[0],"a":[1,74,78,83,91,102,112],"complex":[2],"tracking":[3],"environment":[4],"like":[5,127],"an":[6],"airport":[7],"many":[8],"objects":[9,16,57,87],"are":[10,26,58,88],"tracked":[11,89],"simultaneously.":[12],"Some":[13],"of":[14,42,48],"these":[15,86],"correlate":[17],"to":[18,97],"each":[19,66],"other":[20],"naturally,":[21],"and":[22,33,110,143,146],"thus":[23],"the":[24,43,49,123,140,149],"questions":[25],"how":[27,34],"this":[28,99],"correlation":[29,50],"can":[30,36,137],"be":[31,37,120],"detected":[32],"it":[35],"used":[38,124],"for":[39,70],"increasing":[40],"accuracy":[41],"localisation":[44,92],"system.":[45,93],"The":[46,94],"detection":[47],"is":[51,76],"done":[52],"by":[53,105],"deciding":[54],"if":[55,85],"two":[56],"physically":[59],"or":[60,63,80,129],"logically":[61],"bound":[62],"connected":[64],"with":[65],"other.":[67],"This":[68,116],"could":[69],"example":[71],"imply":[72],"that":[73,135],"person":[75],"carrying":[77],"suitcase":[79],"sitting":[81],"in":[82,90],"car,":[84],"proposed":[95],"approach":[96,104],"answer":[98],"question":[100],"follows":[101],"two-step":[103],"checking":[106],"computational-inexpensive":[107],"preconditions":[108],"first":[109],"evaluating":[111],"test":[113,117],"statistic":[114,118],"afterwards.":[115],"must":[119],"independent":[121],"on":[122],"fusion":[125],"filter":[126],"Kalman":[128],"Particle":[130],"Filter.":[131],"Our":[132],"results":[133],"show,":[134],"one":[136],"reliably":[138],"detect":[139],"physical":[141],"binding":[142],"unbinding":[144],"events":[145],"furthermore":[147],"increase":[148],"location":[150],"accuracy.":[151]},"counts_by_year":[{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}